Relevant bibliographies by topics / Cognitive development optimization algorithm

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Cognitive development optimization algorithm'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Cognitive development optimization algorithm"

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Ahmet, Demir, and Kose Utku. "BRAIN Journal - Solving Optimization Problems via Vortex Optimization Algorithm and Cognitive Development Optimization Algorithm." BRAIN - Broad Research in Artificial Intelligence and Neuroscience 7, no. 4 (2016): 23–42. https://doi.org/10.5281/zenodo.1045013.

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ABSTRACT In the fields which require finding the most appropriate value, optimization became a vital approach to employ effective solutions. With the use of optimization techniques, many different fields in the modern life have found solutions to their real-world based problems. In this context, classical optimization techniques have had an important popularity. But after a while, more advanced optimization problems required the use of more effective techniques. At this point, Computer Science took an important role on providing software related techniques to improve the associated literature.
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Bowling, Alan, and Fillia Makedon. "Cognitive Optimization in Assistive Living System Development." Applied Bionics and Biomechanics 9, no. 1 (2012): 1–14. http://dx.doi.org/10.1155/2012/427838.

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This paper presents an exploration of the characteristics and structure of a cognitive architecture for control of assisted living systems. The aspects of cognition considered are self-organization, communication, and inherited knowledge. A cognitive solution for a related problem, function optimization, is developed because of the complexity and size of the assistive living problem. Support for this approach stems from the artificial intelligence field where optimization is considered to be a critical aspect of cognition, and from the similarity between the performance metrics for the two pro
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Utku, Kose, and Arslan Ahmet. "BRAIN Journal - Realizing an Optimization Approach Inspired from Piaget's Theory on Cognitive Development." BRAIN - Broad Research in Artificial Intelligence and Neuroscience 6, no. 1-2 (2015): 14–21. https://doi.org/10.5281/zenodo.1044171.

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ABSTRACT The objective of this paper is to introduce an artificial intelligence based optimization approach, which is inspired from Piaget’s theory on cognitive development. The approach has been designed according to essential processes that an individual may experience while learning something new or improving his / her knowledge. These processes are associated with the Piaget’s ideas on an individual’s cognitive development. The approach expressed in this paper is a simple algorithm employing swarm intelligence oriented tasks in order to overcome single-objective optimization problems. For
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Ameen, Azad A., Tarik A. Rashid, and Shavan Askar. "CDDO–HS: Child Drawing Development Optimization–Harmony Search Algorithm." Applied Sciences 13, no. 9 (2023): 5795. http://dx.doi.org/10.3390/app13095795.

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Child drawing development optimization (CDDO) is a recent example of a metaheuristic algorithm. The motive for inventing this method is children’s learning behavior and cognitive development, with the golden ratio being employed to optimize the aesthetic value of their artwork. Unfortunately, CDDO suffers from low performance in the exploration phase, and the local best solution stagnates. Harmony search (HS) is a highly competitive algorithm relative to other prevalent metaheuristic algorithms, as its exploration phase performance on unimodal benchmark functions is outstanding. Thus, to avoid
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Petukhova, Alina Vladimirovna, Anna Vladimirovna Kovalenko, and Anna Vyacheslavovna Ovsyannikova. "Algorithm for Optimization of Inverse Problem Modeling in Fuzzy Cognitive Maps." Mathematics 10, no. 19 (2022): 3452. http://dx.doi.org/10.3390/math10193452.

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Managerial decision-making is a complex process that has several problems. The more heterogeneous the system, the more immeasurable, non-numerical information it contains. To understand the cognitive processes involved, it is important to describe in detail their components, define the dependencies between components, and apply relevant algorithms for scenario modelling. Fuzzy cognitive maps (FCMs) is the popular approach for modeling a system’s behavior over time and defining its main properties. This work develops a new algorithm for scenario analysis in complex systems represented by FCMs t
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Saranya, A., and Anandan R. "Cognitive Human Gait Analysis for Neuro-Physically Challenged Patients by Bat Optimization Algorithm." International Journal of Reliable and Quality E-Healthcare 11, no. 1 (2022): 1–11. http://dx.doi.org/10.4018/ijrqeh.313915.

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Autism spectrum disorder and cerebral palsy are called developmental disorders that affect the brain development, communication, and behaviour of a child or an adult. Individuals with Cerebral palsy can also display symptoms of autism. Both conditions have varying degrees of severity, which can make it difficult to form a clear diagnosis. This research paper proposes the model-free green environment for the prediction of the above-mentioned disorders by doing gait analysis only with the camera. The new intelligent algorithm CAGLearner (cognitive analysis for gait) works on the standards of gra
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Gao, Kanke, Onur Ozdemir, Dimitris A. Pados, Stella N. Batalama, Tommaso Melodia, and Andrew L. Drozd. "Cognitive Code-Division Channelization with Admission Control." Journal of Computer Networks and Communications 2012 (2012): 1–9. http://dx.doi.org/10.1155/2012/510942.

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We consider the problem of joint resource allocation and admission control in a secondary code-division network coexisting with a narrowband primary system. Our objective is to find the maximum number of admitted secondary links and then find the optimal transmitting powers and code sequences of those secondary links such that the total energy consumption of the secondary network is minimized subject to the conditions that primary interference temperature constraints, secondary signal-to-interference-plus-noise ratio (SINR) constraints and secondary peak power constraints are all satisfied. Th
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Wang, Qian, Zhaoqi Fang, and Xinchun Ye. "Research on the Construction of Labor Education Curriculum Model Based on Multi-Objective Optimization Algorithm under Fuzzy Cognitive Orientation." Journal of Combinatorial Mathematics and Combinatorial Computing 127a (April 15, 2025): 1897–915. https://doi.org/10.61091/jcmcc127a-110.

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Optimization problems usually involve multiple objectives, while fuzzy cognitive maps can effectively show the causal relationship between concepts, and the combination of the two can greatly advance the development of the education field. In this paper, we design a fuzzy cognition-based knowledge map for labor education courses and a multi-objective optimization model for labor education courses to optimize learners’ learning paths and recommend personalized exercises from multiple stages. Through teaching experiments and regression analysis, the teaching effect of the multi-objective optimiz
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Deka, Rashmi, Soma Chakraborty, and Sekhar Roy. "Optimization of spectrum sensing in cognitive radio using genetic algorithm." Facta universitatis - series: Electronics and Energetics 25, no. 3 (2012): 235–43. http://dx.doi.org/10.2298/fuee1203235d.

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Spectrum availability is becoming scarce due to the rise of number of users and rapid development in wireless environment. Cognitive radio (CR) is an intelligent radio system which uses its in-built technology to use the vacant spectrum holes for the use of another service provider. In this paper, genetic algorithm (GA) is used for the best possible space allocation to cognitive radio in the spectrum available. For spectrum reuse, two criteria have to be fulfilled - 1) probability of detection has to be maximized, and 2) probability of false alarm should be minimized. It is found that with the
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Utku, Kose, Emre Guraksin Gur, and Deperlioglu Omer. "BRAIN Journal - Cognitive Development Optimization Algorithm Based Support Vector Machines for Determining Diabetes." BRAIN - Broad Research in Artificial Intelligence and Neuroscience 7, no. 1 (2016): 80–90. https://doi.org/10.5281/zenodo.1044230.

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ABSTRACT The definition, diagnosis and classification of Diabetes Mellitus and its complications are very important. First of all, the World Health Organization (WHO) and other societies, as well as scientists have done lots of studies regarding this subject. One of the most important research interests of this subject is the computer supported decision systems for diagnosing diabetes. In such systems, Artificial Intelligence techniques are often used for several disease diagnostics to streamline the diagnostic process in daily routine and avoid misdiagnosis. In this study, a diabetes diagnosi
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Dissertations / Theses on the topic "Cognitive development optimization algorithm"

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Thomas, Ryan William. "Cognitive Networks." Diss., Virginia Tech, 2007. http://hdl.handle.net/10919/28319.

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For complex computer networks with many tunable parameters and network performance objectives, the task of selecting the ideal network operating state is difficult. To improve the performance of these kinds of networks, this research proposes the idea of the cognitive network. A cognitive network is a network composed of elements that, through learning and reasoning, dynamically adapt to varying network conditions in order to optimize end-to-end performance. In a cognitive network, decisions are made to meet the requirements of the network as a whole, rather than the individual network compo
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Goren, Keith Daniel Joseph. "Optimization of the metamorphic development process via the genetic algorithm /." Full text available online, 2008. http://www.lib.rowan.edu/find/theses.

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Lattarulo, Valerio. "Development of a multi-objective variant of the alliance algorithm." Thesis, University of Cambridge, 2017. https://www.repository.cam.ac.uk/handle/1810/270076.

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Optimization methodologies are particularly relevant nowadays due to the ever-increasing power of computers and the enhancement of mathematical models to better capture reality. These computational methods are used in many different fields and some of them, such as metaheuristics, have often been found helpful and efficient for the resolution of practical applications where finding optimal solutions is not straightforward. Many practical applications are multi-objective optimization problems: there is more than one objective to optimize and the solutions found represent trade-offs between the
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Feng, Zhenhua. "Cross-Layer Optimization and Distributed Algorithm Design for Frequency-Agile Radio Networks." Diss., Virginia Tech, 2010. http://hdl.handle.net/10919/37207.

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Recent advancements in frequency-agile radio technology and dynamic spectrum access network have created a huge space for improving the utilization efficiency of wireless spectrum. Existing algorithms and protocols, however, have not taken full advantage of the new technologies due to obsolete network design ideologies inherited from conventional network design, such as static spectrum access and static channelization. In this dissertation, we propose new resource management models and algorithms that capitalize on the frequencyagility of next generation radios and the dynamic spectrum access
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Lianjie, Shen. "Optimization and Search in Model-Based Automotive SW/HW Development." Thesis, Linköpings universitet, Programvara och system, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-105394.

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In this thesis two case studies are performed about solving two design problems we face during the design phase of new Volvo truck. One is to solve the frame packing problem on CAN bus. The other is to solve the LDC allocation problem. Both solutions are targeted to meet as many end-to-end latency requirements as possible. Now the solution is obtained through manually approach and based on the designer experience. But it is still not satisfactory enough. With the development of artificial intelligence method we propose two methods based on genetic algorithm to solve our design problem we face
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CAMPOS, M. C. M. "Development of an Entropy-Based Swarm Algorithm for Continuous Dynamic Constrained Optimization." Universidade Federal do Espírito Santo, 2017. http://repositorio.ufes.br/handle/10/9871.

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Made available in DSpace on 2018-08-02T00:04:06Z (GMT). No. of bitstreams: 1 tese_11183_ThesisMauroMay082017.pdf: 2199268 bytes, checksum: fb7b682bc98a1f2089ec2331551f97b1 (MD5) Previous issue date: 2017-05-08<br>Dynamic constrained optimization problems form a class of problems WHERE the objective function or the constraints can change over time. In static optimization, finding a global optimum is considered as the main goal. In dynamic optimization, the goal is not only to find an optimal solution, but also track its trajectory as closely as possible over time. Changes in the environment m
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Inclan, Eric. "The Development of a Hybrid Optimization Algorithm for the Evaluation and Optimization of the Asynchronous Pulse Unit." FIU Digital Commons, 2014. http://digitalcommons.fiu.edu/etd/1582.

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The effectiveness of an optimization algorithm can be reduced to its ability to navigate an objective function’s topology. Hybrid optimization algorithms combine various optimization algorithms using a single meta-heuristic so that the hybrid algorithm is more robust, computationally efficient, and/or accurate than the individual algorithms it is made of. This thesis proposes a novel meta-heuristic that uses search vectors to select the constituent algorithm that is appropriate for a given objective function. The hybrid is shown to perform competitively against several existing hybrid and non-
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El, Mourabit Samir. "Optimization of Concrete Beam Bridges : Development of Software for Design Automation and Cost Optimization." Thesis, KTH, Bro- och stålbyggnad, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189273.

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Recent advances in the field of computational intelligence have led to a numberof promising optimization algorithms. These algorithms have the potential to findoptimal or near-optimal solutions to complex problems within a reasonable timeframe. Structural optimization is a research field where such algorithms are appliedto optimally design structures. Although a significant amount of research has been published in the field ofstructural optimization since the 1960s, little of the research effort has been utilizedin structural design practice. One reason for this is that only a small portion of
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Kim, Yongjin. "Development of automobile antenna design and optimization for FM/GPS/SDARS applications." Connect to this title online, 2003. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1054307551.

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Thesis (Ph. D.)--Ohio State University, 2003.<br>Title from first page of PDF file. Document formatted into pages; contains xvii, 158 p.; also includes graphics Includes bibliographical references (p. 154-158). Available online via OhioLINK's ETD Center
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Boccolini, Mattia. "Development of a speed profile prediction algorithm based on navigation data for energy management optimization." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/22543/.

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This master thesis work wants to develop and implement an on-board algorithm for the speed prediction of a connected vehicle along a given route, by elaborating real-time navigation data. In particular, information about the legal speed limits, the traffic density and the presence of the so-called "stop events", such as traffic lights and roundabouts, are sent to the vehicle by the map service provider and they constitute the input for the algorithm. The algorithm allows you to select one out of three different driver type (quiet, normal, aggressive): this choice, together with the performance
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Books on the topic "Cognitive development optimization algorithm"

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Cuevas, Erik, Angel Chavarin-Fajardo, Cesar Ascencio-Piña, and Sonia Garcia-De-Lira. Optimization Strategies: A Decade of Metaheuristic Algorithm Development. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-81013-8.

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Multidisciplinary Design, Analysis, and Optimization Tool Development Using a Genetic Algorithm. Independently Published, 2019.

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Billing, Laura K. On the development of an improved lift-constrained aerodynamic optimization algorithm. 2006.

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Automatic Algorithm Recognition and Replacement: A New Approach to Program Optimization. The MIT Press, 2000.

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Matthews, Michael D., and David M. Schnyer, eds. Human Performance Optimization. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780190455132.001.0001.

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Advances in cognitive neuroscience, engineering, and related fields suggest new ways of optimizing human performance. Especially for organizations that operate in high-stakes, high-stress, and competitive settings, helping individual workers and teams improve and sustain performance represents a desirable outcome. Moreover, to the extent that strategies to improve performance allow individuals to grow and flourish, enhancing performance is also a desirable outcome for workers. This volume addresses state-of-the-art scientifically grounded approaches to optimizing human performance. Collectivel
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Godwin Premi, Dr M. S., Dr D. Susitra, Dr Suja Cherukullapurath Mana, Ms R. Velvizhi, and Ms Manju C. Nair. QUANTUM COMPUTING. Magestic Technology Solutions (P) Ltd, Chennai, Tamil Nadu, India, 2025. https://doi.org/10.47716/978-93-92090-62-2.

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Quantum Computing represents a paradigm shift in computation, leveraging the principles of quantum mechanics to solve problems intractable for classical computers. This book provides a comprehensive exploration of quantum computing, encompassing its foundational concepts, architecture, algorithms, programming techniques, and real-world applications. Beginning with an overview and historical evolution, it delves into the fundamental differences between classical and quantum computing, highlighting key quantum mechanical phenomena such as superposition, entanglement, and interference. The book f
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Goodkin, Karl, David M. Stoff, Dilip V. Jeste, and Maria J. Marquine. Older Age and HIV. Edited by Mary Ann Cohen, Jack M. Gorman, Jeffrey M. Jacobson, Paul Volberding, and Scott Letendre. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199392742.003.0036.

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This chapter addresses the growing problem of aging and HIV infection throughout the world. Emphasis is placed on conceptualization such as the development of phenotypes within the population of older persons with HIV. The phenotypes include (1) disability, (2) frailty/vulnerability, (3) comorbid conditions, (4) cognitive aging, (5) premature or accelerated aging, and (6) successful aging. Older age and illness progression is addressed with respect to frailty or vulnerability to progression and the development of a dysfunctional, disabled status in activities of daily living. The issue of olde
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Raz, Amir, and Sheida Rabipour. How (not) to train the brain. Oxford University Press, 2019. http://dx.doi.org/10.1093/med-psych/9780198789673.001.0001.

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How (Not) to Train the Brain offers a scientifically honest account of brain training. It demolishes unfounded claims often made for brain training programs, offering instead useful, proven, methods for improving mental performance and capacity. It reviews the apps, books, and other products that have emerged in recent years claiming to boost cognitive power and focus emotion, destroying well-established myths and misconceptions about the brain. It offers alternative, easily implementable techniques, including a list of commercially available products that readers may wish to consider. This ti
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Milliken, Christopher, Ehsan Nikbakht, and Andrew Spieler. Traditional Asset Allocation Securities. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190269999.003.0020.

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Asset allocation models have evolved in complexity with the development of modern portfolio theory, but they continue to operate under the assumption of investor rationality and other assumptions that do not hold in the real world. For this reason, academics and industry professionals make efforts to understand the behavioral biases of decision makers and the implications these biases have on asset allocation strategies. This chapter reviews the building blocks of asset allocation, involving stocks, bonds, real estate, and cash. It also examines the history and theory behind two of the most po
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Ufimtseva, Nataliya V., Iosif A. Sternin, and Elena Yu Myagkova. Russian psycholinguistics: results and prospects (1966–2021): a research monograph. Institute of Linguistics, Russian Academy of Sciences, 2021. http://dx.doi.org/10.30982/978-5-6045633-7-3.

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The monograph reflects the problems of Russian psycholinguistics from the moment of its inception in Russia to the present day and presents its main directions that are currently developing. In addition, theoretical developments and practical results obtained in the framework of different directions and research centers are described in a concise form. The task of the book is to reflect, as far as it is possible in one edition, firstly, the history of the formation of Russian psycholinguistics; secondly, its methodology and developed methods; thirdly, the results obtained in different research
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Book chapters on the topic "Cognitive development optimization algorithm"

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Kaipa, Krishnanand N., and Debasish Ghose. "Glowworm Swarm Optimization: Algorithm Development." In Glowworm Swarm Optimization. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51595-3_2.

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Lakshmaiah, Dayadi, R. Yadagiri Rao, A. Sindhuja, Suresh Ballala, and P. Prasana Murali Krishana. "Hybrid Optimization Technique Using Particle Swarm Optimization and Firefly Algorithm using the Chord Protocol." In Cognitive Radio. CRC Press, 2021. http://dx.doi.org/10.1201/9781003102625-7.

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Hart, William E., Carl Laird, Jean-Paul Watson, and David L. Woodruff. "Scripting and Algorithm Development." In Pyomo – Optimization Modeling in Python. Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-3226-5_10.

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Mubeen, Suraya, Ganapathi Antharam, B. Kavitha Rani, Abdul Subhani Shaik, P. Raveendra Babu, and Venkataiah. "A Unique Algorithm About Global Enhancement Problems Present in African Vulture Optimization Algorithm." In Cognitive Science and Technology. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-9262-7_28.

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Kazakova, E. M. "A Hybrid PSO-Jaya Algorithm for Optimization Problems." In Biologically Inspired Cognitive Architectures 2023. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-50381-8_45.

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Lu, Yong, Chao Yi, Jiayun Li, and Wentao Li. "An Enhanced Opposition-Based Golden-Sine Whale Optimization Algorithm." In Cognitive Computing – ICCC 2023. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-51671-9_5.

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Beruvides, Gerardo. "Cross Entropy Multi-objective Optimization Algorithm." In Artificial Cognitive Architecture with Self-Learning and Self-Optimization Capabilities. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03949-3_3.

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Zivkovic, Miodrag, Tamara Zivkovic, K. Venkatachalam, and Nebojsa Bacanin. "Enhanced Dragonfly Algorithm Adapted for Wireless Sensor Network Lifetime Optimization." In Data Intelligence and Cognitive Informatics. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8530-2_63.

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Zivkovic, Miodrag, Tamara Zivkovic, K. Venkatachalam, and Nebojsa Bacanin. "Enhanced Dragonfly Algorithm Adapted for Wireless Sensor Network Lifetime Optimization." In Data Intelligence and Cognitive Informatics. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8530-2_63.

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Đurđev, Mića, Mijodrag Milošević, Dejan Lukić, and Velibor Premčevski. "Optimization of End Milling Parameters Using African Vulture Optimization Algorithm." In New Technologies, Development and Application VII. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-66268-3_30.

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Conference papers on the topic "Cognitive development optimization algorithm"

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Rao, D. Raghunatha, K. E. Srinivasa Desikan, and J. Krishnaiah. "CAViaR Archery Optimization Algorithm based Cooperative Spectrum Sensing in Cognitive Radio Network." In 2024 International Conference on Advancement in Renewable Energy and Intelligent Systems (AREIS). IEEE, 2024. https://doi.org/10.1109/areis62559.2024.10893619.

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Jagadish, Sripelli, Ramy Riad Al-Fatlawy, Ankam Sreejyothsna, Syed Salim, and Sowmya M. "Energy Harvesting in Cognitive Radio Networks using Local Search based Dingo Optimization Algorithm." In 2024 International Conference on Distributed Systems, Computer Networks and Cybersecurity (ICDSCNC). IEEE, 2024. https://doi.org/10.1109/icdscnc62492.2024.10941243.

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Tao, Liu, Dong Xinyue, Li Yongjuan, and Liu Guangfu. "Research on Optimization Model of Cognitive Enhancement Algorithm in Intelligent Data Analysis System." In 2024 International Conference on Electronics and Devices, Computational Science (ICEDCS). IEEE, 2024. https://doi.org/10.1109/icedcs64328.2024.00180.

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Satyanarayana, P., Ch Ahalya, S. Siva Rama Krishna, D. Sumanth, Yadavalli S. S. Sriramam, and V. Gokula Krishnan. "Enhancement of Network Lifespan in WSN using Modified Pelican Optimization Algorithm for IoT Applications." In 2024 5th International Conference on Data Intelligence and Cognitive Informatics (ICDICI). IEEE, 2024. https://doi.org/10.1109/icdici62993.2024.10810825.

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Tanweer, M. R., S. Suresh, and N. Sundararajan. "Development of a Higher Order Cognitive Optimization algorithm." In 2017 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2017. http://dx.doi.org/10.1109/cec.2017.7969642.

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Hossain, Md Kamal, Ayman A. El-Saleh, and Mahamod Ismail. "A comparison between binary and continuous genetic algorithm for collaborative spectrum optimization in cognitive radio network." In 2011 IEEE Student Conference on Research and Development (SCOReD). IEEE, 2011. http://dx.doi.org/10.1109/scored.2011.6148747.

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Paletta, Lucas, Herwig Zeiner, Michael Schneeberger, and Yusuf Quadri. "Digital Shadows and Twins for Human Experts and Data-Driven Services in a Framework of Democratic AI-based Decision Support." In 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023). AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1003971.

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Current automated and hierarchical structured production processes can only insufficiently deal with the upcoming flexibilization, specifically regarding the requirements within Industry 5.0. The European project FAIRWork fosters the ‘democratization’ of decision-making in production processes, hence the participation of all involved stakeholders, by introducing a decentralized AI system. Hybrid decision-making faces the challenge first to digitally represent the relevant actors – here we propose the use of digital twins – and the interpretation of that digital twin, by a human expert or by a
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Saidala, Ravi Kumar, and Nagaraju Devarakonda. "The tornadogenesis optimization algorithm." In 2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC). IEEE, 2017. http://dx.doi.org/10.1109/icci-cc.2017.8109777.

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Unal, Mehmet, Gordon Warn, and Timothy W. Simpson. "Introduction of a Tradeoff Index for Efficient Trade Space Exploration." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-46895.

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The development of many-objective evolutionary algorithms has facilitated solving complex design optimization problems, that is, optimization problems with four or more competing objectives. The outcome of many-objective optimization is often a rich set of solutions, including the non-dominated solutions, with varying degrees of tradeoff amongst the objectives, herein referred to as the trade space. As the number of objectives increases, exploring the trade space and identifying acceptable solutions becomes less straightforward. Visual analytic techniques that transform a high-dimensional trad
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Lin, Xiaoyu, Yiwen Zhong, and Riqing Chen. "An interval particle swarm optimization algorithm for numerical function optimization." In 2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC). IEEE, 2017. http://dx.doi.org/10.1109/icci-cc.2017.8109755.

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Reports on the topic "Cognitive development optimization algorithm"

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Choi, Yong-Joon, Junyung Kim, Mohammad M Mostafa Abdo, and Congjian Wang. Development of Genetic Algorithm Based Multi-Objective Plant Reload Optimization Platform. Office of Scientific and Technical Information (OSTI), 2023. http://dx.doi.org/10.2172/2004907.

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Matus, Sean, and Daniel Gambill. Automation of gridded HEC-HMS model development using Python : initial condition testing and calibration applications. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/46126.

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The US Army Corps of Engineers’s (USACE) Hydrologic Engineering Center-Hydrologic Modeling System (HEC-HMS) rainfall-runoff model is widely used within the research community to develop both event-based and continuous rainfall-runoff models. The soil moisture accounting (SMA) algorithm is commonly used for long-term simulations. Depending on the final model setup, 12 to 18 parameters are needed to characterize the modeled watershed’s canopy, surface, soil, and routing processes, all of which are potential calibration parameters. HEC-HMS includes optimization tools to facilitate model calibrati
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Osadchyi, Viacheslav V., Hanna B. Varina, Kateryna P. Osadcha, et al. The use of augmented reality technologies in the development of emotional intelligence of future specialists of socionomic professions under the conditions of adaptive learning. CEUR Workshop Proceedings, 2020. http://dx.doi.org/10.31812/123456789/4633.

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In modern conditions, innovative augmented reality technologies are actively developing, which are widespread in many areas of human activity. Introduction of advanced developments in the process of professional training of future specialists of socionomic professions in the conditions of adaptive training, contributes to the implementation of the principles of a personalized approach and increase the overall level of competitiveness. The relevant scientific article is devoted to the theoretical and empirical analysis result of conducting a psychodiagnostic study on an innovative computer comp
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Belkin, Shimshon, Sylvia Daunert, and Mona Wells. Whole-Cell Biosensor Panel for Agricultural Endocrine Disruptors. United States Department of Agriculture, 2010. http://dx.doi.org/10.32747/2010.7696542.bard.

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Objectives: The overall objective as defined in the approved proposal was the development of a whole-cell sensor panel for the detection of endocrine disruption activities of agriculturally relevant chemicals. To achieve this goal several specific objectives were outlined: (a) The development of new genetically engineered wholecell sensor strains; (b) the combination of multiple strains into a single sensor panel to effect multiple response modes; (c) development of a computerized algorithm to analyze the panel responses; (d) laboratory testing and calibration; (e) field testing. In the course
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Rinuado, Christina, William Leonard, Christopher Morey, Theresa Coumbe, Jaylen Hopson, and Robert Hilborn. Artificial intelligence (AI)–enabled wargaming agent training. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/48419.

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Fiscal Year 2021 (FY21) work from the Engineer Research and Development Center Institute for Systems Engineering Research lever-aged deep reinforcement learning to develop intelligent systems (red team agents) capable of exhibiting credible behavior within a military course of action wargaming maritime framework infrastructure. Building from the FY21 research, this research effort sought to explore options to improve upon the wargaming framework infrastructure and to investigate opportunities to improve artificial intelligence (AI) agent behavior. Wargaming framework infrastructure enhancement
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Osadchyi, Viacheslav V., Hanna B. Varina, Kateryna P. Osadcha, Olesia O. Prokofieva, Olha V. Kovalova, and Arnold E. Kiv. Features of implementation of modern AR technologies in the process of psychological and pedagogical support of children with autism spectrum disorders. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/4413.

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The article deals with the actual issue of the specificity and algorithm of the introduction of innovative AR technologies in the process of psychological and pedagogical support of children with autism spectrum disorders (ASD). An innovative element of theoretical and methodological analysis of the problem and empirical research is the detection of vectors of a constructive combination of traditional psycho-correctional and psycho-diagnostic approaches with modern AR technologies. The analysis of publications on the role and possibilities of using AR technologies in the process of support chi
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Petrovych, Olha B., Alla P. Vinnichuk, Viktor P. Krupka, Iryna A. Zelenenka, and Andrei V. Voznyak. The usage of augmented reality technologies in professional training of future teachers of Ukrainian language and literature. CEUR Workshop Proceedings, 2021. http://dx.doi.org/10.31812/123456789/4635.

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The article deals with the peculiarities of creation and practical application of augmented reality (AR) technologies for the organization of students-philologists’ individual and group work in studying the discipline “Methodic of teaching literature”. The relevance of the introduction of AR technologies for the future teachers-philologists’ readiness formation to the professional activity is substantiated. Analysis of the scientific sources suggested that the professional training process requires the modernization of teaching methods, and the usage of information and communication technologi
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Engel, Bernard, Yael Edan, James Simon, Hanoch Pasternak, and Shimon Edelman. Neural Networks for Quality Sorting of Agricultural Produce. United States Department of Agriculture, 1996. http://dx.doi.org/10.32747/1996.7613033.bard.

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The objectives of this project were to develop procedures and models, based on neural networks, for quality sorting of agricultural produce. Two research teams, one in Purdue University and the other in Israel, coordinated their research efforts on different aspects of each objective utilizing both melons and tomatoes as case studies. At Purdue: An expert system was developed to measure variances in human grading. Data were acquired from eight sensors: vision, two firmness sensors (destructive and nondestructive), chlorophyll from fluorescence, color sensor, electronic sniffer for odor detecti
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