المؤلفون: Keerthi Gabbi Reddy, Deepasikha Mishra

المصدر: IEEE Access, Vol 12, Pp 130675-130692 (2024)

مصطلحات موضوعية: Evolutionary algorithms, feature selection, fuzzy fitness functions, local search algorithms, machine learning, memetic algorithms, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10679122/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/c2880c7c4fc74b1db9f4196548f9f19a

المؤلفون: Brookes, David H, Aghazadeh, Amirali, Listgarten, Jennifer

المصدر: Proceedings of the National Academy of Sciences of the United States of America. 119(1)

مصطلحات موضوعية: Bioengineering, 1.1 Normal biological development and functioning, Underpinning research, Generic health relevance, Algorithms, Epistasis, Genetic, Learning, Models, Theoretical, fitness functions, compressed sensing, epistasis, protein structure

وصف الملف: application/pdf

URL الوصول: https://escholarship.org/uc/item/60c7m5gv

المؤلفون: Hahm, Jeongbeom, Choi, Heedong, Matsuoka, Hirotaka, Kim, Jiyoung, Byon, Kevin K.

المصدر: International Journal of Sports Marketing and Sponsorship, 2023, Vol. 24, Issue 2, pp. 333-358.

URL الوصول: http://www.emeraldinsight.com/doi/10.1108/IJSMS-08-2022-0163

المؤلفون: Cătălina-Lucia Cocianu, Cristian Răzvan Uscatu, Alexandru Daniel Stan

المصدر: Sensors; Volume 23; Issue 2; Pages: 967

مصطلحات موضوعية: evolutionary algorithms, image registration, fitness functions, image similarity indicators, accuracy index

وصف الملف: application/pdf

Relation: Sensing and Imaging; https://dx.doi.org/10.3390/s23020967

الاتاحة: https://doi.org/10.3390/s23020967

المؤلفون: Xiao-Zhi Gao, K.R. Devabalaji, Y. Mohana Roopa

المصدر: Energy Reports, Vol 7, Iss , Pp 7967-7976 (2021)

مصطلحات موضوعية: WSN, Quality of Service, Reliable Fuzzy and Heuristic Concurrent ACO, Energy based random repeat trust computation, Reliable Fitness Functions, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S235248472100723X; https://doaj.org/toc/2352-4847

URL الوصول: https://doaj.org/article/c4592a46b59f42a9a5bb636c644b4d3c

المؤلفون: Resma KS, Sharvani GS, Somula, Ramasubbareddy

المصدر: International Journal of Intelligent Computing and Cybernetics, 2021, Vol. 14, Issue 2, pp. 198-217.

URL الوصول: http://www.emeraldinsight.com/doi/10.1108/IJICC-11-2020-0176

المؤلفون: Cooper, Jason

مصطلحات موضوعية: 006.31, Genetic algorithms, Fitness functions, Efficiency, Intelligent fitness functions, Partial fitness functions

URL الوصول: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.429223

المؤلفون: Remde, Stephen Mark

المساهمون: Cowling, Peter I., Dahal, Keshav P.

مصطلحات موضوعية: 338.0068, Scheduling, Search heuristics, Variable fitness functions, Dynamic workforce scheduling, Modelling, Hyperheuristics

URL الوصول: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.544565

المؤلفون: Johnson, Colin G.

مصطلحات موضوعية: artificial intelligence, human-like AI, fitness functions, loss functions, evolutionary computation

Relation: https://nottingham-repository.worktribe.com/output/5021464; Expert Systems; Volume 38; Issue 3; https://nottingham-repository.worktribe.com/file/5021464/1/Solving%20the%20Rubik%27s%20cube%20with%20stepwise%20deep%20learning

الاتاحة: https://doi.org/10.1111/exsy.12665
https://nottingham-repository.worktribe.com/file/5021464/1/Solving%20the%20Rubik%27s%20cube%20with%20stepwise%20deep%20learning
https://nottingham-repository.worktribe.com/output/5021464

المؤلفون: Wiernasz, Diane C., Cole, Blaine J.

المصدر: The American Naturalist, 2018 Jan 01. 191(1), 120-134.

URL الوصول: https://www.jstor.org/stable/26522676

المؤلفون: Fumiya Tokuhara, Tetsuhiro Miyahara, Tetsuji Kuboyama, Yusuke Suzuki, Tomoyuki Uchida

المصدر: Vietnam Journal of Computer Science, Vol 5, Iss 3-4, Pp 229-239 (2018)

مصطلحات موضوعية: Context-aware fitness functions, Feature selection, Genetic Programming, Graph patterns, Information technology, T58.5-58.64, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: http://link.springer.com/article/10.1007/s40595-018-0118-8; https://doaj.org/toc/2196-8888; https://doaj.org/toc/2196-8896

URL الوصول: https://doaj.org/article/e1a53e7e2f6444e3a5f988e9305111b7

المؤلفون: Kelly, Martin G., Levin, Donald A.

المصدر: American Journal of Botany, 2000 Mar 01. 87(3), 382-391.

URL الوصول: https://www.jstor.org/stable/2656634

المؤلفون: Kelly, Martin G., Levin, Donald A.

المصدر: Journal of Ecology, 1997 Dec 01. 85(6), 755-766.

URL الوصول: https://www.jstor.org/stable/2960599

المؤلفون: Diveev A.I., Konstantinov S.V., Sofronova E.A.

المصدر: 2018 5th International Conference on Control, Decision and Information Technologies, CoDIT 2018

مصطلحات موضوعية: Particle swarm optimization (PSO), Algorithm performance, Experimental comparison, Fitness functions, Gradient Descent method, Gradient-based method, Grey Wolf Optimizer, Optimal control problem, Standard deviation, Optimal control systems

Relation: https://doi.org/10.1109/CoDIT.2018.8394805; https://openrepository.ru/article?id=257382

الاتاحة: https://openrepository.ru/article?id=257382

المؤلفون: Antonios Liapis, Konstantinos Sfikas, Theodore Galanos, Georgios N. Yannakakis, Helmut Kinzler, Daria Zolotareva, Risa Tadauchi, Aleksandra Mnich-Spraiter, Jeg Dudley, Edoardo Tibuzzi, Arun Selvaraj, Dinos Ipiotis, Oussama Yousfi

مصطلحات موضوعية: Artificial Intelligence, Parametric Design, Possibility Space, Design Intelligence, Spatial Analytics, Fitness Functions, Constraints, Evolutionary Algorithms, Diversity Measures

Relation: https://zenodo.org/communities/prismarch-h2020; https://zenodo.org/communities/eu; https://doi.org/10.5281/zenodo.5095065; https://doi.org/10.5281/zenodo.5095066; oai:zenodo.org:5095066

الاتاحة: https://doi.org/10.5281/zenodo.5095066

المؤلفون: Antonios Liapis, Konstantinos Sfikas, Georgios N. Yannakakis, Spiros Nikolopoulos, George Adamopoulos, Dimitrios Ververidis

مصطلحات موضوعية: Artificial Intelligence, Parametric Design, Possibility Space, Design Intelligence, Spatial Analytics, Fitness Functions, Constraints, Evolutionary Algorithms, Diversity Measures

Relation: https://zenodo.org/communities/prismarch-h2020; https://zenodo.org/communities/eu; https://doi.org/10.5281/zenodo.5668126; https://doi.org/10.5281/zenodo.5668127; oai:zenodo.org:5668127

الاتاحة: https://doi.org/10.5281/zenodo.5668127

المؤلفون: Justesen, Niels, Risi, Sebastian, Mouret, Jean-Baptiste

المصدر: Justesen , N , Risi , S & Mouret , J-B 2019 , MAP-Elites for noisy domains by adaptive sampling . in Proceedings of the Genetic and Evolutionary Computation Conference Companion : GECCO '19 . Association for Computing Machinery , pp. 121-122 . https://doi.org/10.1145/3319619.3321904

مصطلحات موضوعية: Quality Diversity algorithms, Stochastic fitness functions, MAP-Elites, Adaptive sampling, Behavioral diversity

وصف الملف: application/pdf

Relation: https://pure.itu.dk/portal/da/publications/6a50a489-18e3-4519-923f-4bb795b4478f

الاتاحة: https://pure.itu.dk/portal/da/publications/6a50a489-18e3-4519-923f-4bb795b4478f
https://doi.org/10.1145/3319619.3321904
https://pure.itu.dk/ws/files/84783110/map_elites_noisy_justesen.pdf

المؤلفون: AIDA F. M. SHUKUR, NEOH S. CHIN, NORHAYATI S., BIBI N. TAIB

المصدر: Journal of Engineering Science and Technology, Vol 10, Iss 10, Pp 1293-1309 (2015)

مصطلحات موضوعية: Valveless micropumps, Optimization, Genetic algorithms (GA), Fitness functions, Engineering (General). Civil engineering (General), TA1-2040, Technology (General), T1-995

وصف الملف: electronic resource

Relation: http://jestec.taylors.edu.my/Vol%2010%20Issue%2010%20October%202015/Volume%20(10)%20Issue%20(10)%201293-1309.pdf; https://doaj.org/toc/1823-4690

URL الوصول: https://doaj.org/article/0b6149389160441081ac78bbdf0bb77a

المؤلفون: Federico Formica, Tony Fan, Claudio Menghi

مصطلحات موضوعية: Testing, Falsification, Fitness Functions, CPS

Relation: https://doi.org/10.48550/arXiv.2207.11016; https://zenodo.org/communities/mcscert; https://doi.org/10.5281/zenodo.8309515; https://doi.org/10.5281/zenodo.8309516; oai:zenodo.org:8309516

الاتاحة: https://doi.org/10.5281/zenodo.8309516

المؤلفون: Miljković, Zoran, Petrović, Milica

المصدر: Academy of Sciences and Arts of Bosnia and Herzegovina, “New Technologies, Development and Application”_ICNT-2019, Sarajevo, BiH

مصطلحات موضوعية: Academy of Sciences and Arts of Bosnia and Herzegovina, Robotics and AI research and development, Development of reliable and efficient material transport system, Intelligent manufacturing environment, New paradigm of INDUSTRY 4.0, Intelligent mobile robots, Optimization of combinatorial NP-hard single mobile robot scheduling problem, Biologically inspired optimization algorithms, Whale Optimization Algorithm - WOA, Particle Swarm Optimization - PSO, Chaotic Particle Swarm Optimization - cPSO, Genetic Algorithm - GA, Process flexibility, Sequencing flexibility, Machine flexibility, Tool flexibility, TAD flexibility, The optimal schedule sequence, The single-objective optimization procedure, Fitness functions, Makespan, Robot finishing time, Total robot and job waiting time

Relation: info:eu-repo/grantAgreement/MESTD/Technological Development (TD or TR)/35004/RS//; https://machinery.mas.bg.ac.rs/handle/123456789/6643; https://hdl.handle.net/21.15107/rcub_machinery_6643

الاتاحة: https://hdl.handle.net/21.15107/rcub_machinery_6643
https://machinery.mas.bg.ac.rs/handle/123456789/6643