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Journal articles on the topic 'Additive heuristic'

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Published: 4 June 2021

Last updated: 4 February 2022

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1

Felner, A., R. E. Korf, and S. Hanan. "Additive Pattern Database Heuristics." Journal of Artificial Intelligence Research 22 (November 1, 2004): 279–318. http://dx.doi.org/10.1613/jair.1480.

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We explore a method for computing admissible heuristic evaluation functions for search problems. It utilizes pattern databases, which are precomputed tables of the exact cost of solving various subproblems of an existing problem. Unlike standard pattern database heuristics, however, we partition our problems into disjoint subproblems, so that the costs of solving the different subproblems can be added together without overestimating the cost of solving the original problem. Previously, we showed how to statically partition the sliding-tile puzzles into disjoint groups of tiles to compute an ad

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Younes, H. L. S., and R. G. Simmons. "VHPOP: Versatile Heuristic Partial Order Planner." Journal of Artificial Intelligence Research 20 (December 1, 2003): 405–30. http://dx.doi.org/10.1613/jair.1136.

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VHPOP is a partial order causal link (POCL) planner loosely based on UCPOP. It draws from the experience gained in the early to mid 1990's on flaw selection strategies for POCL planning, and combines this with more recent developments in the field of domain independent planning such as distance based heuristics and reachability analysis. We present an adaptation of the additive heuristic for plan space planning, and modify it to account for possible reuse of existing actions in a plan. We also propose a large set of novel flaw selection strategies, and show how these can help us solve more pro

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Bennette, Elizabeth, Frank C. Keil, and Sami R. Yousif. "A Ubiquitous Illusion of Volume: Are Impressions of 3D Volume Captured by an “Additive Heuristic”?" Perception 50, no. 5 (2021): 462–69. http://dx.doi.org/10.1177/03010066211003746.

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Several empirical approaches have attempted to explain perception of 2D and 3D size. While these approaches have documented interesting perceptual effects, they fail to offer a compelling, general explanation of everyday size perception. Here, we offer one. Building on prior work documenting an “Additive Area Heuristic” by which observers estimate perceived area by summing objects’ dimensions, we show that this same principle—an “additive heuristic”—explains impressions of 3D volume. Observers consistently discriminate sets that vary in “additive volume,” even when there is no true difference;

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Laroche, Michel, Chankon Kim, and Takayoshi Matsui. "Which decision heuristics are used in consideration set formation?" Journal of Consumer Marketing 20, no. 3 (2003): 192–209. http://dx.doi.org/10.1108/07363760310472236.

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This study empirically investigates consumers’ use of five heuristics (conjunctive, disjunctive, lexicographic, linear additive, and geometric compensatory) in the consideration set formation, a critical first phase before actual choice behavior. Data were collected on the selection of beer brands and fast food outlets by real consumers. Using a decomposition approach in determining the consumers’ choice heuristics, it was found that the conjunctive heuristic is the most often used decision model in the consideration set formation for the two product classes. Implications for brand managers an

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Yang, F., J. Culberson, R. Holte, U. Zahavi, and A. Felner. "A General Theory of Additive State Space Abstractions." Journal of Artificial Intelligence Research 32 (July 1, 2008): 631–62. http://dx.doi.org/10.1613/jair.2486.

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Informally, a set of abstractions of a state space S is additive if the distance between any two states in S is always greater than or equal to the sum of the corresponding distances in the abstract spaces. The first known additive abstractions, called disjoint pattern databases, were experimentally demonstrated to produce state of the art performance on certain state spaces. However, previous applications were restricted to state spaces with special properties, which precludes disjoint pattern databases from being defined for several commonly used testbeds, such as Rubik's Cube, TopSpin and t

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Katz, M., and C. Domshlak. "Implicit Abstraction Heuristics." Journal of Artificial Intelligence Research 39 (September 21, 2010): 51–126. http://dx.doi.org/10.1613/jair.3063.

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State-space search with explicit abstraction heuristics is at the state of the art of cost-optimal planning. These heuristics are inherently limited, nonetheless, because the size of the abstract space must be bounded by some, even if a very large, constant. Targeting this shortcoming, we introduce the notion of (additive) implicit abstractions, in which the planning task is abstracted by instances of tractable fragments of optimal planning. We then introduce a concrete setting of this framework, called fork-decomposition, that is based on two novel fragments of tractable cost-optimal planning

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Nguyen, Tung Duc, Kien Quang Nguyen, and Ruck Thawonmas. "Heuristic Search Exploiting Non-additive and Unit Properties for RTS-game Unit Micromanagement." Journal of Information Processing 23, no. 1 (2015): 2–8. http://dx.doi.org/10.2197/ipsjjip.23.2.

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Yousif, Sami R., and Frank C. Keil. "The Additive-Area Heuristic: An Efficient but Illusory Means of Visual Area Approximation." Psychological Science 30, no. 4 (2019): 495–503. http://dx.doi.org/10.1177/0956797619831617.

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How do we determine how much of something is present? A large body of research has investigated the mechanisms and consequences of number estimation, yet surprisingly little work has investigated area estimation. Indeed, area is often treated as a pesky confound in the study of number. Here, we describe the additive-area heuristic, a means of rapidly estimating visual area that results in substantial distortions of perceived area in many contexts, visible even in simple demonstrations. We show that when we controlled for additive area, observers were unable to discriminate on the basis of true

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Aloui, Aymen, and Khaled Hadj-Hamou. "A heuristic approach for a scheduling problem in additive manufacturing under technological constraints." Computers & Industrial Engineering 154 (April 2021): 107115. http://dx.doi.org/10.1016/j.cie.2021.107115.

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ITO, K. "Involvement, in-group message, and persuasiveness : The additive effect of heuristic and systematic processing." Japanese Journal of Personality 11, no. 1 (2002): 52–53. http://dx.doi.org/10.2132/jjpjspp.11.1_52.

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Bakradze, Georgijs, Egīls Arājs, Sergejs Gaidukovs, and Vijay Kumar Thakur. "On the Heuristic Procedure to Determine Processing Parameters in Additive Manufacturing Based on Materials Extrusion." Polymers 12, no. 12 (2020): 3009. http://dx.doi.org/10.3390/polym12123009.

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We present a heuristic procedure for determining key processing parameters (PPs) in materials-extrusion-based additive manufacturing processes. The concept relies on a design-of-experiment approach and consists of eleven “test objects” to determine the optimal combinations of key PPs values, starting with the PPs for printing the first layer and progressing to more complex geometric features, e.g., “bridges”. In each of the test objects, several combinations of the known PPs’ values are used, and only the values resulting in the best printed-part quality are selected for the following tests. T

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Omairi, Amzar, and Zool Hilmi Ismail. "Towards Machine Learning for Error Compensation in Additive Manufacturing." Applied Sciences 11, no. 5 (2021): 2375. http://dx.doi.org/10.3390/app11052375.

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Additive Manufacturing (AM) of three-dimensional objects is now being progressively realised with its ad-hoc approach with minimal material wastage (lean manufacturing) being one of its benefit by default. It could also be considered as an evolutional paradigm in the manufacturing industry with its long list of application as of late. Artificial Intelligence is currently finding its usefulness in predictive modelling to provide intelligent, efficient, customisable, high-quality and sustainable-oriented production process. This paper presents a comprehensive survey on commonly used predictive m

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NGUYEN, Lam, Johannes BUHL, and Markus BAMBACH. "DECOMPOSITION ALGORITHM FOR TOOL PATH PLANNING FOR WIRE-ARC ADDITIVE MANUFACTURING." Journal of Machine Engineering Vol.18, No.1 (2018): 96–107. http://dx.doi.org/10.5604/01.3001.0010.8827.

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Three-axis machines are limited in the production of geometrical features in powder-bed additive manufacturing processes. In case of overhangs, support material has to be added due to the nature of the process, which causes some disadvantages. Robot-based wire-arc additive manufacturing (WAAM) is able to fabricate overhangs without adding support material. Hence, build time, waste of material, and post-processing might be reduced considerably. In order to make full use of multi-axis advantages, slicing strategies are needed. To this end, the CAD (computer-aided design) model of the part to be

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Zhang, Yicha, Alain Bernard, Ramy Harik, and Georges Fadel. "A new method for single-layer-part nesting in additive manufacturing." Rapid Prototyping Journal 24, no. 5 (2018): 840–54. http://dx.doi.org/10.1108/rpj-01-2017-0008.

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PurposeThis paper aims to introduce a new nesting scheme to better describe and solve the single-layer-part packing problem in additive manufacturing (AM).Design/methodology/approachParallel nesting scheme using two-dimensional (2D) changeable projection profiles is developed. At first, a feature-based orientation optimization method is used to identify a set of practical alternative build orientations for each part to ensure the part quality. Then, 2D polygons are used to represent each part’s projection profiles under its alternative build orientations. Finally, a parallel layout searching a

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Domshlak, Carmel, and Vitaly Mirkis. "Deterministic Oversubscription Planning as Heuristic Search: Abstractions and Reformulations." Journal of Artificial Intelligence Research 52 (January 16, 2015): 97–169. http://dx.doi.org/10.1613/jair.4443.

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While in classical planning the objective is to achieve one of the equally attractive goal states at as low total action cost as possible, the objective in deterministic oversubscription planning (OSP) is to achieve an as valuable as possible subset of goals within a fixed allowance of the total action cost. Although numerous applications in various fields share the latter objective, no substantial algorithmic advances have been made in deterministic OSP. Tracing the key sources of progress in classical planning, we identify a severe lack of effective domain-independent approximations for OSP.

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Stavropoulos, Panagiotis, Panagis Foteinopoulos, and Alexios Papapacharalampopoulos. "On the Impact of Additive Manufacturing Processes Complexity on Modelling." Applied Sciences 11, no. 16 (2021): 7743. http://dx.doi.org/10.3390/app11167743.

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The interest in additive manufacturing (AM) processes is constantly increasing due to the many advantages they offer. To this end, a variety of modelling techniques for the plethora of the AM mechanisms has been proposed. However, the process modelling complexity, a term that can be used in order to define the level of detail of the simulations, has not been clearly addressed so far. In particular, one important aspect that is common in all the AM processes is the movement of the head, which directly affects part quality and build time. The knowledge of the entire progression of the phenomenon

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Chen and Huang. "Forming a Hierarchical Choquet Integral with a GA-Based Heuristic Least Square Method." Mathematics 7, no. 12 (2019): 1155. http://dx.doi.org/10.3390/math7121155.

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: Identifying the fuzzy measures of the Choquet integral model is an important component in resolving complicated multi-criteria decision-making (MCDM) problems. Previous papers solved the above problem by using various mathematical programming models and regression-based methods. However, when considering complicated MCDM problems (e.g., 10 criteria), the presence of too many parameters might result in unavailable or inconsistent solutions. While k-additive or p-symmetric measures are provided to reduce the number of fuzzy measures, they cannot prevent the problem of identifying the fuzzy mea

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Liu, Yang, Zuyu Li, Peng Wei, and Shikui Chen. "Generating support structures for additive manufacturing with continuum topology optimization methods." Rapid Prototyping Journal 25, no. 2 (2019): 232–46. http://dx.doi.org/10.1108/rpj-10-2017-0213.

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PurposeThe purpose of this paper is to explore the possibility of combining additive manufacturing (AM) with topology optimization to generate support structures for addressing the challenging overhang problem. The overhang problem is considered as a constraint, and a novel algorithm based on continuum topology optimization is proposed.Design/methodology/approachA mathematical model is formulated, and the overhang constraint is embedded implicitly through a Heaviside function projection. The algorithm is based on the Solid Isotropic Material Penalization (SIMP) method, and the optimization pro

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Hart, Emma, and Kevin Sim. "A Hyper-Heuristic Ensemble Method for Static Job-Shop Scheduling." Evolutionary Computation 24, no. 4 (2016): 609–35. http://dx.doi.org/10.1162/evco_a_00183.

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We describe a new hyper-heuristic method NELLI-GP for solving job-shop scheduling problems (JSSP) that evolves an ensemble of heuristics. The ensemble adopts a divide-and-conquer approach in which each heuristic solves a unique subset of the instance set considered. NELLI-GP extends an existing ensemble method called NELLI by introducing a novel heuristic generator that evolves heuristics composed of linear sequences of dispatching rules: each rule is represented using a tree structure and is itself evolved. Following a training period, the ensemble is shown to outperform both existing dispatc

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Karahan, Halil, Serdar Iplikci, Mutlu Yasar, and Gurhan Gurarslan. "River Flow Estimation from Upstream Flow Records Using Support Vector Machines." Journal of Applied Mathematics 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/714213.

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A novel architecture for flood routing model has been proposed and its efficiency is validated on several problems by employing support vector machines. The architecture is designed by including the inputs and observed and calculated outflows from the previous time step output. Whole observed data have been used for determining the model parameters in the heuristic methods given in the literature, which constitutes the major disadvantage of the existing approaches. Moreover, using the whole data for training may lead to overtraining problem that causes overfitting of estimations and data. Ther

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Fusté, José I. "Schomburg’s Blackness of a Different Matter: A Historiography of Refusal." Small Axe: A Caribbean Journal of Criticism 24, no. 1 (2020): 120–31. http://dx.doi.org/10.1215/07990537-8190662.

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This essay uses Vanessa Valdés’s Diasporic Blackness: The Life and Times of Arturo Alfonso Schomburg (2017) to reflect on the different stakes surrounding debates about Schomburg as a historical figure and also as a heuristic for grasping the complex vicissitudes of Afro-Latinx life. It challenges historicizations that presume Afro-Latinidad to be a stable and additive political ontology and that possibly foreclose black Latinx strategies of disidentification or refusal that transcend racial or ethnic nationalisms. It also provokes readers to think of what it would be like to write about Schom

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Smith, Jeff, and R. Fredrik Inglis. "Evaluating kin and group selection as tools for quantitative analysis of microbial data." Proceedings of the Royal Society B: Biological Sciences 288, no. 1951 (2021): 20201657. http://dx.doi.org/10.1098/rspb.2020.1657.

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Kin selection and multilevel selection theory are often used to interpret experiments about the evolution of cooperation and social behaviour among microbes. But while these experiments provide rich, detailed fitness data, theory is mostly used as a conceptual heuristic. Here, we evaluate how kin and multilevel selection theory perform as quantitative analysis tools. We reanalyse published microbial datasets and show that the canonical fitness models of both theories are almost always poor fits because they use statistical regressions misspecified for the strong selection and non-additive effe

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Zahavi, U., A. Felner, N. Burch, and R. C. Holte. "Predicting the Performance of IDA* using Conditional Distributions." Journal of Artificial Intelligence Research 37 (February 18, 2010): 41–83. http://dx.doi.org/10.1613/jair.2890.

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Korf, Reid, and Edelkamp introduced a formula to predict the number of nodes IDA* will expand on a single iteration for a given consistent heuristic, and experimentally demonstrated that it could make very accurate predictions. In this paper we show that, in addition to requiring the heuristic to be consistent, their formula's predictions are accurate only at levels of the brute-force search tree where the heuristic values obey the unconditional distribution that they defined and then used in their formula. We then propose a new formula that works well without these requirements, i.e., it can

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Štukelj, Gašper. "On the simplicity of simple heuristics." Adaptive Behavior 28, no. 4 (2019): 261–71. http://dx.doi.org/10.1177/1059712319861589.

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Recent evidence suggests that the take-the-best heuristic—flagship of “fast and frugal heuristics” research program—might in fact not be as frugal as tallying, which is considered to be a more complex strategy. Characterizing a simple decision strategy has always seemed straightforward, and the debate around the simplicity of the take-the-best heuristic is mostly concerned with a proper specification of the heuristic. I argue that the predominate conceptions of “simplicity” and “frugality” need to be revised. To this end, a number of recent behavioral and neuroscientific results are discussed.

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Papale, D., M. Reichstein, M. Aubinet, et al. "Towards a standardized processing of Net Ecosystem Exchange measured with eddy covariance technique: algorithms and uncertainty estimation." Biogeosciences 3, no. 4 (2006): 571–83. http://dx.doi.org/10.5194/bg-3-571-2006.

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Abstract. Eddy covariance technique to measure CO2, water and energy fluxes between biosphere and atmosphere is widely spread and used in various regional networks. Currently more than 250 eddy covariance sites are active around the world measuring carbon exchange at high temporal resolution for different biomes and climatic conditions. In this paper a new standardized set of corrections is introduced and the uncertainties associated with these corrections are assessed for eight different forest sites in Europe with a total of 12 yearly datasets. The uncertainties introduced on the two compone

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ANDRADE, VICTOR, and YING-CHENG LAI. "SUPER PERSISTENT CHAOTIC TRANSIENTS IN PHYSICAL SYSTEMS: EFFECT OF NOISE ON PHASE SYNCHRONIZATION OF COUPLED CHAOTIC OSCILLATORS." International Journal of Bifurcation and Chaos 11, no. 10 (2001): 2607–19. http://dx.doi.org/10.1142/s0218127401003723.

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A super persistent chaotic transient is typically induced by an unstable–unstable pair bifurcation in which two unstable periodic orbits of the same period coalesce and disappear as a system parameter is changed through a critical value. So far examples illustrating this type of transient chaos utilize discrete-time maps. We present a class of continuous-time dynamical systems that exhibit super persistent chaotic transients in parameter regimes of positive measure. In particular, we examine the effect of noise on phase synchronization of coupled chaotic oscillators. It is found that additive

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Muhammad, Nooh Bany, Mubashar Sarfraz, Sajjad A. Ghauri та Saqib Masood. "Optimized Polynomial Classiﬁer for Classiﬁcation of M-PSK Signals". Mathematical Modelling of Engineering Problems 8, № 4 (2021): 575–82. http://dx.doi.org/10.18280/mmep.080410.

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Automatic modulation classiﬁcation (AMC) is the emerging research area for military and civil applications. In this paper, M-PSK signals are classiﬁed using the optimized polynomial classiﬁer. The distinct features i.e., higher order cumulants (HOC’s) are extracted from the noisy received signal and the dataset is generated with different number of samples, various SNR’s and on several fading channels. The proposed classiﬁer structure classiﬁes the overall modulation classiﬁcation problem into binary sub-classiﬁcations. In each sub-classiﬁcation, the extracted features are expanded using polyn

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MADENOĞLU, Fatma Selen. "SOLVING THE HYBRID FLOW SHOP SCHEDULING PROBLEM USING HEURISTIC ALGORITHMS." Business & Management Studies: An International Journal 7, no. 3 (2019): 14–25. http://dx.doi.org/10.15295/bmij.v7i3.1226.

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A variant of the hybrid ﬂow shop (HFS) problem considering missing operations, transportation times and sequence-dependent setup times is investigated. Heuristic algorithms along with dispatching rulesand dispatching rules are used to solve the given problem. The objective function is minimization makespan. The computational experimets are conducted to test the performance of the heuristic algoirthms and dispatching rules. In order to depict the effect of the factors: number of jobs, number of machines, number of production stages, level of missing operations on the result, the additiol experi

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Kim, Namjung, Ishan Bhalerao, Daehoon Han, Chen Yang, and Howon Lee. "Improving Surface Roughness of Additively Manufactured Parts Using a Photopolymerization Model and Multi-Objective Particle Swarm Optimization." Applied Sciences 9, no. 1 (2019): 151. http://dx.doi.org/10.3390/app9010151.

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Although additive manufacturing (AM) offers great potential to revolutionize modern manufacturing, its layer-by-layer process results in a staircase-like rough surface profile of the printed part, which degrades dimensional accuracy and often leads to a significant reduction in mechanical performance. In this paper, we present a systematic approach to improve the surface profile of AM parts using a computational model and a multi-objective optimization technique. A photopolymerization model for a micro 3D printing process, projection micro-stereolithography (PμSL), is implemented by using a co

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Bernasconi, Paul, Min Chen, Scott Galasinski, et al. "A Chemogenomic Analysis of the Human Proteome: Application to Enzyme Families." Journal of Biomolecular Screening 12, no. 7 (2007): 972–82. http://dx.doi.org/10.1177/1087057107306759.

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Sequence-based phylogenies (SBP) are well-established tools for describing relationships between proteins. They have been used extensively to predict the behavior and sensitivity toward inhibitors of enzymes within a family. The utility of this approach diminishes when comparing proteins with little sequence homology. Even within an enzyme family, SBPs must be complemented by an orthogonal method that is independent of sequence to better predict enzymatic behavior. A chemogenomic approach is demonstrated here that uses the inhibition profile of a 130,000 diverse molecule library to uncover rel

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Moore, Jason H., Randal S. Olson, Peter Schmitt, Yong Chen, and Elisabetta Manduchi. "How Computational Experiments Can Improve Our Understanding of the Genetic Architecture of Common Human Diseases." Artificial Life 26, no. 1 (2020): 23–37. http://dx.doi.org/10.1162/artl_a_00308.

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Susceptibility to common human diseases such as cancer is influenced by many genetic and environmental factors that work together in a complex manner. The state of the art is to perform a genome-wide association study (GWAS) that measures millions of single-nucleotide polymorphisms (SNPs) throughout the genome followed by a one-SNP-at-a-time statistical analysis to detect univariate associations. This approach has identified thousands of genetic risk factors for hundreds of diseases. However, the genetic risk factors detected have very small effect sizes and collectively explain very little of

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Yue, Lei, Yarong Chen, Jabir Mumtaz, and Saif Ullah. "Dynamic Mixed Model Lotsizing and Scheduling for Flexible Machining Lines Using a Constructive Heuristic." Processes 9, no. 7 (2021): 1255. http://dx.doi.org/10.3390/pr9071255.

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Dynamic lotsizing and scheduling on multiple lines to meet the customer due dates is significant in multi-line production environments. Therefore, this study investigates dynamic lotsizing and scheduling problems in multiple flexible machining lines considering mixed products. In addition, uncertainty in demand and machine failure is considered. A mathematical model is proposed for the considered problem with an aim to maximize the probability of completion of product models from different customer orders. A constructive heuristic method (CHLP) is proposed to solve the current problem. The pro

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Graulich, Nicole, Henning Hopf, and Peter R. Schreiner. "Heuristic Chemistry-Addition Reactions." Chemistry - A European Journal 17, no. 1 (2011): 30–40. http://dx.doi.org/10.1002/chem.201002370.

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Krunglevicius, Dalius. "Modified STDP Triplet Rule Significantly Increases Neuron Training Stability in the Learning of Spatial Patterns." Advances in Artificial Neural Systems 2016 (August 1, 2016): 1–12. http://dx.doi.org/10.1155/2016/1746514.

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Spike-timing-dependent plasticity (STDP) is a set of Hebbian learning rules which are based firmly on biological evidence. STDP learning is capable of detecting spatiotemporal patterns highly obscured by noise. This feature appears attractive from the point of view of machine learning. In this paper three different additive STDP models of spike interactions were compared in respect to training performance when the neuron is exposed to a recurrent spatial pattern injected into Poisson noise. The STDP models compared were all-to-all interaction, nearest-neighbor interaction, and the nearest-neig

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Yu, Zhanke, Feng Ma, Jingxia Liu, Bingxin Hu, and Zhaodong Zhang. "An Efficient Approximate Algorithm for Disjoint QoS Routing." Mathematical Problems in Engineering 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/489149.

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Disjoint routing is used to find the disjoint paths between a source and a destination subject to QoS requirements. Disjoint QoS routing is an effective strategy to achieve robustness, load balancing, congestion reduction, and an increased throughput in computer networks. For multiple additive constraints, disjoint QoS routing is an NP-complete class that cannot be exactly solved in polynomial time. In the paper, the disjoint QoS routing problem was formulated as a 0-1 integer linear programming. The complicating constraints were included in the objective function using an adaptive penalty fun

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Dangol, Jeetendra, and Rashmita Manandhar. "Impact of Heuristics on Investment Decisions: The Moderating Role of Locus of Control." Journal of Business and Social Sciences Research 5, no. 1 (2020): 1–14. http://dx.doi.org/10.3126/jbssr.v5i1.30195.

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This paper aims to assess the impact of heuristics on the investment decision by analysing the effect of four heuristic biases, i.e., representativeness, availability, anchoring and adjustment, and overconfidence bias on rationality of Nepalese investor's investment decision-making and also examines the moderating effect of the internal locus of control in between. The study used 391 respondents based on a convenient sampling procedure, and structured questionnaire survey. The study result indicates that there is a significant relationship between irrationality in investment decision-making an

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DE AGOSTINO, SERGIO. "BOUNDED SIZE DICTIONARY COMPRESSION: RELAXING THE LRU DELETION HEURISTIC." International Journal of Foundations of Computer Science 17, no. 06 (2006): 1273–80. http://dx.doi.org/10.1142/s0129054106004406.

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The unbounded version of the Lempel-Ziv dynamic dictionary compression method is P-complete. Therefore, it is unlikely to implement it with sublinear work space unless a deletion heuristic is applied to bound the dictionary. The well-known LRU (least recently used) strategy provides the best compression performance among the existent deletion heuristics. We show experimental results on the compression effectiveness of a relaxed version (RLRUp) of the LRU heuristic. RLRUp partitions the dictionary in p equivalence classes, so that all the elements in each class are considered to have the same "

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Dimaguila, Gerardo Luis, Kathleen Gray, and Mark Merolli. "Enabling Better Use of Person-Generated Health Data in Stroke Rehabilitation Systems: Systematic Development of Design Heuristics." Journal of Medical Internet Research 22, no. 7 (2020): e17132. http://dx.doi.org/10.2196/17132.

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Background An established and well-known method for usability assessment of various human-computer interaction technologies is called heuristic evaluation (HE). HE has been adopted for evaluations in a wide variety of specialized contexts and with objectives that go beyond usability. A set of heuristics to evaluate how health information technologies (HITs) incorporate features that enable effective patient use of person-generated health data (PGHD) is needed in an era where there is a growing demand and variety of PGHD-enabled technologies in health care and where a number of remote patient-m

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Sokol, Vladyslav, Ante Ćustić, Abraham P. Punnen, and Binay Bhattacharya. "Bilinear Assignment Problem: Large Neighborhoods and Experimental Analysis of Algorithms." INFORMS Journal on Computing 32, no. 3 (2020): 730–46. http://dx.doi.org/10.1287/ijoc.2019.0893.

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The bilinear assignment problem (BAP) is a generalization of the well-known quadratic assignment problem. In this paper, we study the problem from the computational analysis point of view. Several classes of neighborhood structures are introduced for the problem along with some theoretical analysis. These neighborhoods are then explored within a local search and variable neighborhood search frameworks with multistart to generate robust heuristic algorithms. In addition, we present several very fast construction heuristics. Our systematic experimental analysis disclosed some interesting propert

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Zhang, Congqiang, and Heng-Phon Too. "Strategies for the Biosynthesis of Pharmaceuticals and Nutraceuticals in Microbes from Renewable Feedstock." Current Medicinal Chemistry 27, no. 28 (2020): 4613–21. http://dx.doi.org/10.2174/0929867327666200212121047.

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Backgrounds: Abundant and renewable biomaterials serve as ideal substrates for the sustainable production of various chemicals, including natural products (e.g., pharmaceuticals and nutraceuticals). For decades, researchers have been focusing on how to engineer microorganisms and developing effective fermentation processes to overproduce these molecules from biomaterials. Despite many laboratory achievements, it remains a challenge to transform some of these into successful industrial applications. Results: Here, we review recent progress in strategies and applications in metabolic engineering

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CLUSEL, MAXIME, and ERIC BERTIN. "GLOBAL FLUCTUATIONS IN PHYSICAL SYSTEMS: A SUBTLE INTERPLAY BETWEEN SUM AND EXTREME VALUE STATISTICS." International Journal of Modern Physics B 22, no. 20 (2008): 3311–68. http://dx.doi.org/10.1142/s021797920804853x.

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Fluctuations of global additive quantities, like total energy or magnetization for instance, can in principle be described by statistics of sums of (possibly correlated) random variables. Yet, it turns out that extreme values (the largest value among a set of random variables) may also play a role in the statistics of global quantities, in a direct or indirect way. This review discusses different connections that may appear between problems of sums and of extreme values of random variables, and emphasizes physical situations in which such connections are relevant. Along this line of thought, s

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Panton, Ronald L. "Scaling Turbulent Wall Layers." Journal of Fluids Engineering 112, no. 4 (1990): 425–32. http://dx.doi.org/10.1115/1.2909420.

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The two-layer concept is a framework for interpreting events and constructing mathematical models of turbulent wall layers. In this paper an asymptotic theory is constructed employing the idea that the interaction between the layers is the most important aspect. It is shown that the matching process for the layers can be used to define a characteristic scale, u*, and to produce an equation that relates u* to the known parameters; U∞, v, h, e, and dp/dx. At infinite Reynolds number the scale u* is equal to uτ, the friction velocity, but they are distinct at moderate Reynolds numbers. The theory

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Morais dos Reis, Daniel, Natã Goulart, Thiago F. Noronha, and Sérgio Ricardo de Souza. "On the problem of minimizing the cost with optical devices in Wavelength Division Multiplexing optical networks: complexity analysis, mathematical formulation and improved heuristics." RAIRO - Operations Research 53, no. 5 (2019): 1513–28. http://dx.doi.org/10.1051/ro/2018072.

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The Fiber Installation Problem (FIP) in Wavelength Division Multiplexing (WDM) optical networks consists in routing a set of lightpaths (all-optical connections) such that the cost of the optical devices necessary to operate the network is minimized. Each of these devices is worth hundreds of thousands of dollars. In consequence, any improvement in the lightpath routing may save millions of dollars for the network operator. All the works in the literature for solving this problem are based on greedy heuristics and genetic algorithms. No information is known on how good are the solutions provid

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Łubocki, Jakub Maciej. "Stare przestrzenie informacji. Co tracimy na niewłaściwej automatyzacji pochodnych źródeł informacji?" Roczniki Biblioteczne 60 (June 8, 2017): 315–44. http://dx.doi.org/10.19195/0080-3626.60.15.

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OLD INFORMATION SPACES. WHAT DO WE LOSE DUE TO INAPPROPRIATE AUTOMATISATION OF DERIVATIVE SOURCES OF INFORMATION?The belief that the very fact that information has been made available in the dynamic internet environment is enough for the users to find it may lead to very serious misunderstandings. Hence the importance of the reflection on what we lose because of careless and ill-considered automatisation of derivative sources of information bibliographies/catalogues, dictionaries, encyclopaedias. Admiration for modern technologies has, on the one hand, made us abandon the huge informational va

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Shone, Rob, Vincent A. Knight, and Paul R. Harper. "A conservative index heuristic for routing problems with multiple heterogeneous service facilities." Mathematical Methods of Operations Research 92, no. 3 (2020): 511–43. http://dx.doi.org/10.1007/s00186-020-00722-w.

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AbstractWe consider a queueing system with N heterogeneous service facilities, in which admission and routing decisions are made when customers arrive and the objective is to maximize long-run average net rewards. For this type of problem, it is well-known that structural properties of optimal policies are difficult to prove in general and dynamic programming methods are computationally infeasible unless N is small. In the absence of an optimal policy to refer to, the Whittle index heuristic (originating from the literature on multi-armed bandit problems) is one approach which might be used fo

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Graulich, Nicole, Henning Hopf, and Peter R. Schreiner. "ChemInform Abstract: Heuristic Chemistry-Addition Reactions." ChemInform 42, no. 12 (2011): no. http://dx.doi.org/10.1002/chin.201112276.

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Kaykhosravi, Sarah, Karen Abogadil, Usman T. Khan, and Mojgan A. Jadidi. "The Low-Impact Development Demand Index: A New Approach to Identifying Locations for LID." Water 11, no. 11 (2019): 2341. http://dx.doi.org/10.3390/w11112341.

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The primary goal of low impact development (LID) is to capture urban stormwater runoff; however, multiple indirect benefits (environmental and socioeconomic benefits) also exist (e.g., improvements to human health and decreased air pollution). Identifying sites with the highest demand or need for LID ensures the maximization of all benefits. This is a spatial decision-making problem that has not been widely addressed in the literature and was the focus of this research. Previous research has focused on finding feasible sites for installing LID, whilst only considering insufficient criteria whi

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Sansom, Philip G., David B. Stephenson, Christopher A. T. Ferro, Giuseppe Zappa, and Len Shaffrey. "Simple Uncertainty Frameworks for Selecting Weighting Schemes and Interpreting Multimodel Ensemble Climate Change Experiments." Journal of Climate 26, no. 12 (2013): 4017–37. http://dx.doi.org/10.1175/jcli-d-12-00462.1.

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Abstract Future climate change projections are often derived from ensembles of simulations from multiple global circulation models using heuristic weighting schemes. This study provides a more rigorous justification for this by introducing a nested family of three simple analysis of variance frameworks. Statistical frameworks are essential in order to quantify the uncertainty associated with the estimate of the mean climate change response. The most general framework yields the “one model, one vote” weighting scheme often used in climate projection. However, a simpler additive framework is fou

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Silvis, Isabel Mariann, Theo J. D. Bothma, and Koos J. W. de Beer. "Evaluating the usability of the information architecture of academic library websites." Library Hi Tech 37, no. 3 (2019): 566–90. http://dx.doi.org/10.1108/lht-07-2017-0151.

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PurposeThe purpose of this paper is to provide an integrated list of heuristics and an information architecture (IA) framework for the heuristic evaluation of the IA of academic library websites as well as an evaluation framework with practical steps on how to conduct the evaluation.Design/methodology/approachA set of 14 heuristics resulted from an integration of existing usability principles from authorities in the field of usability. A review of IA literature resulted in a framework for dividing academic library websites into six dialogue elements. The resulting heuristics were made applicab

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Riedl, Maik, Alexander Suhrbier, Holger Stepan, Jürgen Kurths, and Niels Wessel. "Short-term couplings of the cardiovascular system in pregnant women suffering from pre-eclampsia." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 368, no. 1918 (2010): 2237–50. http://dx.doi.org/10.1098/rsta.2010.0029.

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Pre-eclampsia (PE), a serious pregnancy-specific disorder, causes significant neonatal and maternal morbidity and mortality. Recent studies showed that cardiovascular variability parameters as well as the baroreflex sensitivity remarkably improve its early diagnosis. For a better understanding of the dynamical changes caused by PE, in this study the coupling between respiration, systolic and diastolic blood pressure, and heart rate is investigated. Thirteen datasets of healthy pregnant women and 10 of subjects suffering from PE are included. Nonlinear additive autoregressive models with extern

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