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Relevant bibliographies by topics / Quadratic Assignment Procedure (QAP)

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Academic literature on the topic 'Quadratic Assignment Procedure (QAP)'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 September 2023

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Journal articles on the topic "Quadratic Assignment Procedure (QAP)"

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Kılıç, Haydar, and Ugur Y. Yuzgec. "IMPROVED ANTLION OPTIMIZATION ALGORITHM FOR QUADRATIC ASSIGNMENT PROBLEM." Malaysian Journal of Computer Science 34, no. 1 (2021): 34–60. http://dx.doi.org/10.22452/mjcs.vol34no1.3.

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The Antlion Optimization (ALO) algorithm is a meta-heuristic optimization algorithm based on the hunting of ants by antlions. The basic inadequacy of this algorithm is that it has long run time because of the random walk model used for the ant's movement. We improved some mechanisms in ALO algorithm, such as ants' random walking, reproduction, sliding ants towards antlion, elitism, and selection procedure. This proposed algorithm is called Improved Antlion Optimization (IALO) algorithm. To show the performance of the proposed IALO algorithm, we used different measurement metrics, such as mean

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Misevičius, Alfonsas, and Dovilė Kuznecovaitė (Verenė). "A 2-Level Iterated Tabu Search Algorithm for the Quadratic Assignment Problem." Informacijos mokslai 90 (December 28, 2020): 96–115. http://dx.doi.org/10.15388/im.2020.90.52.

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In this paper, a 2-level iterated tabu search (ITS) algorithm for the solution of the quadratic assignment problem (QAP) is considered. The novelty of the proposed ITS algorithm is that the solution mutation procedures are incorporated within the algorithm, which enable to diversify the search process and eliminate the search stagnation, thus increasing the algorithm’s efficiency. In the computational experiments, the algorithm is examined with various implemented variants of the mutation procedures using the QAP test (sample) instances from the library of the QAP instances – QAPLIB. The resul

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Misevičius, Alfonsas, and Dovilė Kuznecovaitė (Verenė). "A 2-Level Iterated Tabu Search Algorithm for the Quadratic Assignment Problem." Informacijos mokslai 85 (October 28, 2019): 115–34. http://dx.doi.org/10.15388/im.2019.85.19.

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In this paper, a 2-level iterated tabu search (ITS) algorithm for the solution of the quadratic assignment problem (QAP) is considered. The novelty of the proposed ITS algorithm is that the solution mutation procedures are incorporated within the algorithm, which enable to diversify the search process and eliminate the search stagnation, thus increasing the algorithm’s efficiency. In the computational experiments, the algorithm is examined with various implemented variants of the mutation procedures using the QAP test (sample) instances from the library of the QAP instances – QAPLIB. The resul

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Munapo, Elias. "Development of a method to linearize the quadratic assignment problem." Eastern-European Journal of Enterprise Technologies 2, no. 4 (110) (2021): 54–61. http://dx.doi.org/10.15587/1729-4061.2021.225311.

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The paper presents a new powerful technique to linearize the quadratic assignment problem. There are so many techniques available in the literature that are used to linearize the quadratic assignment problem. In all these linear formulations, both the number of variables and the linear constraints significantly increase. The quadratic assignment problem (QAP) is a well-known problem whereby a set of facilities are allocated to a set of locations in such a way that the cost is a function of the distance and flow between the facilities. In this problem, the costs are associated with a facility b

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Lim, Wee Loon, Antoni Wibowo, Mohammad Ishak Desa, and Habibollah Haron. "A Biogeography-Based Optimization Algorithm Hybridized with Tabu Search for the Quadratic Assignment Problem." Computational Intelligence and Neuroscience 2016 (2016): 1–12. http://dx.doi.org/10.1155/2016/5803893.

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The quadratic assignment problem (QAP) is an NP-hard combinatorial optimization problem with a wide variety of applications. Biogeography-based optimization (BBO), a relatively new optimization technique based on the biogeography concept, uses the idea of migration strategy of species to derive algorithm for solving optimization problems. It has been shown that BBO provides performance on a par with other optimization methods. A classical BBO algorithm employs the mutation operator as its diversification strategy. However, this process will often ruin the quality of solutions in QAP. In this p

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Wang, Linshan, Chuanming Liu, and Yang Xi. "Analysis on the influencing factors of spatial correlation of haze pollution in North China." Archives of Business Research 8, no. 6 (2020): 86–95. http://dx.doi.org/10.14738/abr.86.8365.

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Based on the AQI daily data of Northern China from January 1, 2016 to December 31, 2018, this paper uses nonlinear Granger causality test technology to identify the spatial correlation of haze pollution, and from the perspective of relational data, adopt Quadratic Assignment Procedure (QAP) to investigate the influencing factors of the spatial correlation of haze pollution in northern China. This study finds that：(1) QAP correlation analysis shows that geographical distance matrix, difference in the development level of the tertiary industry and difference in the green space area of urban cons

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Alhussam, Mohammed Ismail, Jifan Ren, Hongxing Yao, and Omar Abu Risha. "Food Trade Network and Food Security: From the Perspective of Belt and Road Initiative." Agriculture 13, no. 8 (2023): 1571. http://dx.doi.org/10.3390/agriculture13081571.

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In recent times, there has been a growing interest in the role of food trade in achieving food security. This study presents a comprehensive analysis of the relationship between food trade and food security within the context of the Belt and Road Initiative (BRI). This study employs complex networks alongside the quadratic assignment procedure (QAP) regression method on trade data of 46 countries under BRI for the period 2008 to 2018. The resulting complex network showed an enhancement in the food trade relationships and food security levels after BRI, indicating a mutually positive effect. In

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Stanevičienė, Evelina, Alfonsas Misevičius, and Armantas Ostreika. "Experimental Analysis of Hybrid Genetic Algorithm for the Grey Pattern Quadratic Assignment Problem." Information Technology And Control 48, no. 2 (2019): 335–56. http://dx.doi.org/10.5755/j01.itc.48.2.23114.

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In this paper, we present the results of the extensive computational experiments with the hybrid genetic algorithm (HGA) for solving the grey pattern quadratic assignment problem (GP-QAP). The experiments are on the basis of the component-based methodology where the important algorithmic ingredients (features) of HGA are chosen and carefully examined. The following components were investigated: initial population, selection of parents, crossover procedures, number of offspring per generation, local improvement, replacement of population, population restart). The obtained results of the conduct

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Nemeschkal, H. L. "Character coupling for taxa discrimination: a critical appraisal of quadratic assignment procedures (QAP)1." Journal of Zoological Systematics and Evolutionary Research 29, no. 2 (2009): 87–96. http://dx.doi.org/10.1111/j.1439-0469.1991.tb00448.x.

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Seok, Hwayoon, and Yoonjae Nam. "A Social Network Analysis of International Creative Goods Flow." Sustainability 14, no. 8 (2022): 4463. http://dx.doi.org/10.3390/su14084463.

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This study used social network analysis to examine the structure of the international trade of creative goods. The results showed that the US, Canada, Europe, and certain Asian countries (e.g., China, the Republic of Korea, Japan, and Thailand) ranked high in terms of out-degree/in-degree, eigenvector, and betweenness centrality compared to other countries in the international creative goods trade network. A quadratic assignment procedure (QAP) revealed interrelations between each creative goods networks. In particular, the new media network strongly interacted with the design and art crafts n

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Dissertations / Theses on the topic "Quadratic Assignment Procedure (QAP)"

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Olivieri, Julia. "Drawing DNA Sequence Networks." Oberlin College Honors Theses / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=oberlin1466511242.

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Rabak, Cesar Scarpini. "Otimização do processo de inserção automática de componentes eletrônicos empregando a técnica de times assíncronos." Universidade de São Paulo, 1999. http://www.teses.usp.br/teses/disponiveis/3/3141/tde-24062005-190210/.

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Máquinas insersoras de componentes são utilizadas na indústria eletrônica moderna para a montagem automática de placas de circuito impresso. Com a competição acirrada, há necessidade de se buscar todas as oportunidades para diminuir custos e aumentar a produtividade na exploração desses equipamentos. Neste trabalho, foi proposto um procedimento de otimização do processo de inserção da máquina insersora AVK da Panasonic, implementado em um sistema baseado na técnica de times assíncronos (A-Teams). Foram realizados testes com exemplos de placas de circuito impresso empregadas por uma indústria d

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Gopakumar, M. G. "The Allure of Departed Colleagues : An Examination of Career Mobility in Competitive Labor Markets." Thesis, 2015. http://etd.iisc.ac.in/handle/2005/3731.

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In global corporations, work is increasingly organized around projects and individuals are constantly working with new constellations of partners across locational and temporal boundaries. In order to be successful in such settings, individuals have to form and maintain relationships with those they need to learn from and coordinate with. Recent studies suggest that these social ties provide resources and support as well as create normative pressures that strengthen the attachment of employees with the firm and lead them to stay with the firm. In contrast, the strength of an individual’s attac

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Gopakumar, M. G. "The Allure of Departed Colleagues : An Examination of Career Mobility in Competitive Labor Markets." Thesis, 2015. http://etd.iisc.ernet.in/2005/3731.

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In global corporations, work is increasingly organized around projects and individuals are constantly working with new constellations of partners across locational and temporal boundaries. In order to be successful in such settings, individuals have to form and maintain relationships with those they need to learn from and coordinate with. Recent studies suggest that these social ties provide resources and support as well as create normative pressures that strengthen the attachment of employees with the firm and lead them to stay with the firm. In contrast, the strength of an individual’s attac

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Cung, Quang Hong. "THE EVACUATION PROBLEM IN MULTI-STORY BUILDINGS." 2019. https://scholarworks.umass.edu/masters_theses_2/737.

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The pressure from high population density leads to the creation of high-rise structures within urban areas. Consequently, the design of facilities which confront the challenges of emergency evacuation from high-rise buildings become a complex concern. This paper proposes an embedded program which combines a deterministic (GMAFLAD) and stochastic model (M/G/C/C State Dependent Queueing model) into one program, GMAF_MGCC, to solve an evacuation problem. An evacuation problem belongs to Quadratic Assignment Problem (QAP) class which will be formulated as a Quadratic Set Packing model (QSP) includ

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Elie, Etienne. "Approche efficace pour la conception des architectures multiprocesseurs sur puce électronique." Thèse, 2010. http://hdl.handle.net/1866/6841.

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Les systèmes multiprocesseurs sur puce électronique (On-Chip Multiprocessor [OCM]) sont considérés comme les meilleures structures pour occuper l'espace disponible sur les circuits intégrés actuels. Dans nos travaux, nous nous intéressons à un modèle architectural, appelé architecture isométrique de systèmes multiprocesseurs sur puce, qui permet d'évaluer, de prédire et d'optimiser les systèmes OCM en misant sur une organisation efficace des nœuds (processeurs et mémoires), et à des méthodologies qui permettent d'utiliser efficacement ces architectures. Dans la première partie de la thèse, nou

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Books on the topic "Quadratic Assignment Procedure (QAP)"

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Desmarais, Bruce A., and Skyler J. Cranmer. Statistical Inference in Political Networks Research. Edited by Jennifer Nicoll Victor, Alexander H. Montgomery, and Mark Lubell. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780190228217.013.8.

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Researchers interested in statistically modeling network data have a well-established and quickly growing set of approaches from which to choose. Several of these methods have been regularly applied in research on political networks, while others have yet to permeate the field. This chapter reviews the most prominent methods of inferential network analysis for both cross-sectionally and longitudinally observed networks, including (temporal) exponential random graph models, latent space models, the quadratic assignment procedure, and stochastic actor oriented models. For each method, the chapte

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Book chapters on the topic "Quadratic Assignment Procedure (QAP)"

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Çela, Eranda. "Two More Restricted Versions of the QAP." In The Quadratic Assignment Problem. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4757-2787-6_5.

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Li, Yong, Panos Pardalos, and Mauricio Resende. "A greedy randomized adaptive search procedure for the quadratic assignment problem." In DIMACS Series in Discrete Mathematics and Theoretical Computer Science. American Mathematical Society, 1994. http://dx.doi.org/10.1090/dimacs/016/12.

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Poveda, Roberto, and Jonatan Gómez. "Solving the Quadratic Assignment Problem (QAP) Through a Fine-Grained Parallel Genetic Algorithm Implemented on GPUs." In Computational Collective Intelligence. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98446-9_14.

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Amirghasemi, Mehrdad, and Reza Zamani. "Developing an Effective Decomposition-Based Procedure for Solving the Quadratic Assignment Problem." In Lecture Notes in Computer Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-31140-7_19.

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Zamani, Reza, and Mehrdad Amirghasemi. "A Self-adaptive Nature-Inspired Procedure for Solving the Quadratic Assignment Problem." In Springer Tracts in Nature-Inspired Computing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2133-1_6.

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Misevicius, Alfonsas. "Genetic Algorithm Hybridized with Ruin and Recreate Procedure: Application to the Quadratic Assignment Problem." In Research and Development in Intelligent Systems XIX. Springer London, 2003. http://dx.doi.org/10.1007/978-1-4471-0651-7_12.

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James, Tabitha, and Cesar Rego. "Path Relinking with Multi-Start Tabu Search for the Quadratic Assignment Problem." In Recent Algorithms and Applications in Swarm Intelligence Research. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2479-5.ch004.

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This paper introduces a new path relinking algorithm for the well-known quadratic assignment problem (QAP) in combinatorial optimization. The QAP has attracted considerable attention in research because of its complexity and its applicability to many domains. The algorithm presented in this study employs path relinking as a solution combination method incorporating a multistart tabu search algorithm as an improvement method. The resulting algorithm has interesting similarities and contrasts with particle swarm optimization methods. Computational testing indicates that this algorithm produces results that rival the best QAP algorithms. The authors additionally conduct an analysis disclosing how different strategies prove more or less effective depending on the landscapes of the problems to which they are applied. This analysis lays a foundation for developing more effective future QAP algorithms, both for methods based on path relinking and tabu search, and for hybrids of such methods with related processes found in particle swarm optimization.

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Deutschmann, Emanuel. "Why Does Regionalism Occur in Transnational Human Activity?" In Mapping the Transnational World. Princeton University Press, 2022. http://dx.doi.org/10.23943/princeton/9780691226491.003.0004.

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This chapter assesses why regionalism occurs in transnational human activity. Is it because countries within regions tend to be culturally similar, frequently sharing a common history, language, or religion? Is it because they have stronger economic bonds than countries situated in disparate regions? Is it because they often form part of the same supranational political community whose policies sometimes explicitly aim at increasing internal mobility and communication while enforcing external border controls? Or is it simply due to smaller geographic distances within regions? The answer may be a combination of all these factors—but in that case one might still want to know which factors are most influential in creating the intraregional agglomeration of human cross-border activity. Using a network-analytical modeling technique called multiple regression quadratic assignment procedure (MRQAP), the chapter establishes that while most of these factors play some role, spatial proximity is clearly the main explanation for the clustering of transnational activity within world regions. Its effect is particularly strong in Europe with its comparatively small geographic territory.

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Conference papers on the topic "Quadratic Assignment Procedure (QAP)"

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Schachter, Richard David, Nair Maria Maia de Abreu, Valdir Agustinho de Melo, and Eliane Maria Loiola. "Development of a Computer Program for the Optimization of Deck Accommodation Arrangements of Ships and Craft Applying GRASP and VNS Meta-Heuristics Methods." In ASME 2011 30th International Conference on Ocean, Offshore and Arctic Engineering. ASMEDC, 2011. http://dx.doi.org/10.1115/omae2011-50135.

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This work presents a computer program developed for the definition of Deck Accommodation Arrangements of ships and craft that allocates spaces in an automated process, in order to help the designer with options and initial ideas for its definition or to optimize arrangements propositions. This optimization process is usually done based on experience, using maritime regulations and practices. It is an evolution of previous works [14] which adopted the Quadratic Assignment Problem (QAP), that allowed the user to select units to be assigned to demarcated spaces and the program provides optimized

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He, Lei, Zhi-Yong Liu, Min Liu, Xu Yang, and Feng-Yi Zhang. "Quadratic Assignment Problem via a Convex and Concave Relaxations Procedure." In the 3rd International Conference. ACM Press, 2018. http://dx.doi.org/10.1145/3265639.3265665.

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Bourki Semlali, Soukaina Cherif, Mohammed Essaid Riffi, and Faycal Chebihi. "Hybrid chicken swarm optimization with a GRASP constructive procedure using multi-threads to solve the quadratic assignment problem." In 2018 6th International Conference on Multimedia Computing and Systems (ICMCS). IEEE, 2018. http://dx.doi.org/10.1109/icmcs.2018.8525992.

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Ismail, Mohamed A., Attia H. Gomaa, and Ashraf O. Nassef. "Solving the Multi-Objective Facility Layout Problem Using Evolutionary Multi-Objective Optimization Algorithms." In ASME 2006 International Manufacturing Science and Engineering Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/msec2006-21067.

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The multi-objective facility layout problem is defined in the literature as an extension of the famous quadratic assignment problem (QAP). Most previous mathematical models tried to combine both the quantitative and the qualitative objectives into a single objective by using weighting factors. This paper introduces a multi-objective mathematical model and solves it using the revised Strength Pareto Evolutionary Algorithm (SPEAII). The purpose of this paper is to find an efficient set of solutions “Pareto optimal set” which could be introduced to the decision maker to select the best alternativ

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Wang, Mingxian, Zhenghui Sha, Yun Huang, Noshir Contractor, Yan Fu, and Wei Chen. "Forecasting Technological Impacts on Customers’ Co-Consideration Behaviors: A Data-Driven Network Analysis Approach." In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-60015.

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Forecasting customers’ responses and market competitions is essential before launching major technological changes in product design. In this research, we present a data-driven network analysis approach to understand the interactions among technologies, products, and customers. Such an approach provides a quantitative assessment of the impact of technological changes on customers’ co-consideration behaviors. The multiple regression quadratic assignment procedure (MRQAP) is employed to quantitatively predict product co-consideration relations as a function of various effect networks created by

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