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wyszukanych pozycji: 9
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Genetic and Evolutionary Computation -- Gecco 2004: Genetic and Evolutionary Computation Conference Seattle, Wa, Usa, June 26-30, 2004, Proceedings, P
ISBN: 9783540223443 / Angielski / Miękka / 2004 / 1448 str. Termin realizacji zamówienia: ok. 22 dni roboczych (Bez gwarancji dostawy przed świętami) The two volume set LNCS 3102/3103 constitutes the refereed proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2004, held in Seattle, WA, USA, in June 2004. The 230 revised full papers and 104 poster papers presented were carefully reviewed and selected from 460 submissions. The papers are organized in topical sections on artificial life, adaptive behavior, agents, and ant colony optimization; artificial immune systems, biological applications; coevolution; evolutionary robotics; evolution strategies and evolutionary programming; evolvable hardware; genetic... The two volume set LNCS 3102/3103 constitutes the refereed proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2004, held in ... |
cena:
201,72 zł |
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Genetic and Evolutionary Computation -- Gecco 2004: Genetic and Evolutionary Computation Conference, Seattle, Wa, Usa, June 26-30, 2004 Proceedings, P
ISBN: 9783540223436 / Angielski / Miękka / 2004 / 1448 str. Termin realizacji zamówienia: ok. 22 dni roboczych (Bez gwarancji dostawy przed świętami) MostMOEAsuseadistancemetricorothercrowdingmethodinobjectivespaceinorder to maintain diversity for the non-dominated solutions on the Pareto optimal front. By ensuring diversity among the non-dominated solutions, it is possible to choose from a variety of solutions when attempting to solve a speci?c problem at hand. Supposewehavetwoobjectivefunctionsf (x)andf (x).Inthiscasewecande?ne 1 2 thedistancemetricastheEuclideandistanceinobjectivespacebetweentwoneighboring individuals and we thus obtain a distance given by 2 2 2 d (x, x )= f (x )?f (x )] + f (x )?f (x )] . (1) 1 2 1 1 1 2 2 1 2 2 f...
MostMOEAsuseadistancemetricorothercrowdingmethodinobjectivespaceinorder to maintain diversity for the non-dominated solutions on the Pareto optimal fr...
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cena:
201,72 zł |
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Multi-Objective Optimization Using Evolutionary Algorithms
ISBN: 9780471873396 / Angielski / Twarda / 2001 / 536 str. Termin realizacji zamówienia: ok. 30 dni roboczych (Bez gwarancji dostawy przed świętami) Evolutionary algorithms are relatively new, but very powerful techniques used to find solutions to many real-world search and optimization problems. Many of these problems have multiple objectives, which leads to the need to obtain a set of optimal solutions, known as effective solutions. It has been found that using evolutionary algorithms is a highly effective way of finding multiple effective solutions in a single simulation run.
Evolutionary algorithms are relatively new, but very powerful techniques used to find solutions to many real-world search and optimization problems. M...
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cena:
689,18 zł |
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Simulated Evolution and Learning: 8th International Conference, Seal 2010, Kanpur, India, December 1-4, 2010, Proceedings
ISBN: 9783642172977 / Angielski / Miękka / 2010 / 719 str. Termin realizacji zamówienia: ok. 22 dni roboczych (Bez gwarancji dostawy przed świętami) This volume constitutes the proceedings of the 8th International Conference on Simulated Evolution and Learning, SEAL 2010, held in Kanpur, India, in December 2010. The 61full papers and 19 short papers presented were carefully reviewed and selected from 141 submissions. The papers are organized in topical sections on theoretical development, evolutionary algorithms and applications, learning methodologies, multi-objective evolutionary algorithms and applications, hybrid algorithms, and industrial applications.
This volume constitutes the proceedings of the 8th International Conference on Simulated Evolution and Learning, SEAL 2010, held in Kanpur, India, in ...
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cena:
403,47 zł |
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Evolutionary Multi-Criterion Optimization: 10th International Conference, Emo 2019, East Lansing, Mi, Usa, March 10-13, 2019, Proceedings
ISBN: 9783030125974 / Angielski / Miękka / 2019 / 757 str. Termin realizacji zamówienia: ok. 22 dni roboczych (Bez gwarancji dostawy przed świętami) |
cena:
403,47 zł |
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Evolutionary Constrained Optimization
ISBN: 9788132221838 / Angielski / Twarda / 2014 / 319 str. Termin realizacji zamówienia: ok. 22 dni roboczych (Bez gwarancji dostawy przed świętami) This book makes available a self-contained collection of modern research addressing the general constrained optimization problems using evolutionary algorithms. Broadly the topics covered include constraint handling for single and multi-objective optimizations; penalty function based methodology; multi-objective based methodology; new constraint handling mechanism; hybrid methodology; scaling issues in constrained optimization; design of scalable test problems; parameter adaptation in constrained optimization; handling of integer, discrete and mix variables in addition to continuous...
This book makes available a self-contained collection of modern research addressing the general constrained optimization problems using evolutionary a...
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cena:
403,47 zł |
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Evolutionary Constrained Optimization
ISBN: 9788132235057 / Angielski / Miękka / 2016 / 319 str. Termin realizacji zamówienia: ok. 22 dni roboczych (Bez gwarancji dostawy przed świętami) This book makes available a self-contained collection of modern research addressing the general constrained optimization problems using evolutionary algorithms.
This book makes available a self-contained collection of modern research addressing the general constrained optimization problems using evolutionary a...
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cena:
403,47 zł |
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Evolution in Action: Past, Present and Future: A Festschrift in Honor of Erik D. Goodman
ISBN: 9783030398330 / Angielski / Miękka / 2021 / 607 str. Termin realizacji zamówienia: ok. 22 dni roboczych (Bez gwarancji dostawy przed świętami) |
cena:
887,69 zł |
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Machine Learning Assisted Evolutionary Multi- and Many- Objective Optimization
ISBN: 9789819920952 / Angielski Termin realizacji zamówienia: ok. 22 dni roboczych (Bez gwarancji dostawy przed świętami) This book focuses on machine learning (ML) assisted evolutionary multi- and many-objective optimization (EMâO). EMâO algorithms, namely EMâOAs, iteratively evolve a set of solutions towards a good Pareto Front approximation. The availability of multiple solution sets over successive generations makes EMâOAs amenable to application of ML, for different pursuits.Recognizing the immense potential for ML-based enhancements in the EMâO domain, this book intends to serve as an exclusive resource for both domain novice and the experienced researchers and practitioners. Towards it, first the...
This book focuses on machine learning (ML) assisted evolutionary multi- and many-objective optimization (EMâO). EMâO algorithms, namely EMâOAs, ite...
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cena:
645,58 zł |
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