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  • Search: subject:"Opposition-based learning"
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Year of publication
Subject
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Theorie 5 Theory 5 Algorithm 4 Algorithmus 4 Heuristics 3 Heuristik 3 Mathematical programming 3 Mathematische Optimierung 3 Opposition-based learning 3 Scheduling problem 3 Scheduling-Verfahren 3 Durchlaufzeit 2 Evolutionary algorithm 2 Evolutionärer Algorithmus 2 Global optimization 2 Lead time 2 Learning process 2 Lernprozess 2 opposition-based learning 2 scheduling 2 AEFA 1 Assembly-line production 1 Constrained neighborhood 1 Economic load dispatch problems 1 Elitism 1 Evolutionary computation 1 FLANN 1 Financial forecasting 1 Fließfertigung 1 Forecasting model 1 GOBL 1 HONN 1 Heuristic 1 Improved AEFA 1 Learning strategy 1 Memetic algorithm 1 Multi-criteria analysis 1 Multikriterielle Entscheidungsanalyse 1 Multiple objective programming 1 Neural networks 1
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Online availability
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Undetermined 5 CC license 1 Free 1
Type of publication
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Article 7
Type of publication (narrower categories)
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Article in journal 6 Aufsatz in Zeitschrift 6
Language
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English 6 Undetermined 1
Author
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Ali, Musrrat. 1 Benlic, Una 1 Cheng, Shi 1 Cho, Sung-Bae 1 Dehuri, Satchidananda 1 Liao, Xiumei 1 Lin, Jian 1 Luo, H. 1 Ma, W. Q. 1 Nayak, Sarat Chandra 1 Pant, Millie. 1 Qin, H. 1 Qin, Quande 1 Shi, Yuhui 1 Siarry, Patrick 1 Wang, Kai 1 Wei, Yi-Ming 1 Wu, Qinghua 1 Zhang, Qingyu 1 Zhou, Binghai 1 Zhou, Qing 1
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Published in...
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International journal of production research 2 Computers & operations research : and their applications to problems of world concern ; an international journal 1 European Journal of Operational Research 1 European journal of industrial engineering : EJIE 1 European journal of operational research : EJOR 1 Financial innovation : FIN 1
Source
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ECONIS (ZBW) 6 RePEc 1
Showing 1 - 7 of 7
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Elitist-opposition-based artifcial electric feld algorithm for higher-order neural network optimization and fnancial time series forecasting
Nayak, Sarat Chandra; Dehuri, Satchidananda; Cho, Sung-Bae - In: Financial innovation : FIN 10 (2024), pp. 1-43
optima by retaining the fne-tuned solutions obtained thus far, and opposition-based learning helps enhance its exploration … basic AEFA while tak‑ ing advantage of both elitism and opposition-based learning. Hence, the improved version attempts to …
Persistent link: https://www.econbiz.de/10014530164
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An opposition-based memetic algorithm for the maximum quasi-clique problem
Zhou, Qing; Benlic, Una; Wu, Qinghua - In: European journal of operational research : EJOR 286 (2020) 1, pp. 63-83
Persistent link: https://www.econbiz.de/10012239891
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An efficient generalised opposition-based multi-objective optimisation method for factory cranes with time-space constraints
Zhou, Binghai; Liao, Xiumei - In: European journal of industrial engineering : EJIE 14 (2020) 5, pp. 684-714
Persistent link: https://www.econbiz.de/10012316119
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A hybrid discrete biogeography-based optimization for the permutation flow shop scheduling problem
Lin, Jian - In: International journal of production research 54 (2016) 15/16, pp. 4805-4814
Persistent link: https://www.econbiz.de/10011518978
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Coordinated scheduling of production and transportation in a two-stage assembly flowshop
Wang, Kai; Ma, W. Q.; Luo, H.; Qin, H. - In: International journal of production research 54 (2016) 21/22, pp. 6891-6911
Persistent link: https://www.econbiz.de/10011565955
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Multiple strategies based orthogonal design particle swarm optimizer for numerical optimization
Qin, Quande; Cheng, Shi; Zhang, Qingyu; Wei, Yi-Ming; … - In: Computers & operations research : and their … 60 (2015), pp. 91-110
Persistent link: https://www.econbiz.de/10011279666
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An efficient Differential Evolution based algorithm for solving multi-objective optimization problems
Ali, Musrrat.; Siarry, Patrick; Pant, Millie. - In: European Journal of Operational Research 217 (2012) 2, pp. 404-416
the advantages of Opposition-Based Learning for generating an initial population of potential candidates and the concept …
Persistent link: https://www.econbiz.de/10010871204
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