Constraint-handling in evolutionary optimization
An efficient and adequate constraint-handling technique is a key element in the design of competitive evolutionary algorithms to solve complex optimization problems. This edited book presents a collection of recent advances in nature-inspired techniques for constrained numerical optimization. The bo...
Kaydedildi:
| Yazar: | |
|---|---|
| Materyal Türü: | Livre numérique |
| Dil: | Anglais |
| Baskı/Yayın Bilgisi: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
2009.
Cham : Springer Nature |
| Seri Bilgileri: | Studies in Computational Intelligence
198 |
| Online Erişim: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Not: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Constraint-Handling in Evolutionary Optimization, Texte imprimé, 9783642101557 • Constraint-Handling in Evolutionary Optimization, Texte imprimé, 9783642017919 • Constraint-handling in evolutionary optimization, Efrén Mezura-Montes (ed.), Berlin, Springer, 2009, 1 vol. (xv-264 p.), Studies in computational intelligence, 978-3-642-00618-0 |
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| 082 | |a 519 | ||
| 100 | 1 | |a Mezura-Montes, Efrén. | |
| 245 | 1 | 0 | |a Constraint-handling in evolutionary optimization |c edited by Janusz Kacprzyk, Efrén Mezura-Montes. |
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c 2009. | ||
| 490 | 0 | |a Studies in Computational Intelligence |v 198 |x 1860-9503 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 0 | |a Continuous Constrained Optimization with Dynamic Tolerance Using the COPSO Algorithm -- Boundary Search for Constrained Numerical Optimization Problems -- Solving Difficult Constrained Optimization Problems by the ? Constrained Differential Evolution with Gradient-Based Mutation -- Constrained Real-Parameter Optimization with ? -Self-Adaptive Differential Evolution -- Self-adaptive and Deterministic Parameter Control in Differential Evolution for Constrained Optimization -- An Adaptive Penalty Function for Handling Constraint in Multi-objective Evolutionary Optimization -- Infeasibility Driven Evolutionary Algorithm for Constrained Optimization -- On GA-AIS Hybrids for Constrained Optimization Problems in Engineering -- Constrained Optimization Based on Quadratic Approximations in Genetic Algorithms -- Constraint-Handling in Evolutionary Aerodynamic Design -- Handling Constraints in Global Optimization Using Artificial Immune Systems: A Survey. | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. chttps://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a An efficient and adequate constraint-handling technique is a key element in the design of competitive evolutionary algorithms to solve complex optimization problems. This edited book presents a collection of recent advances in nature-inspired techniques for constrained numerical optimization. The book covers six main topics: swarm-intelligence-based approaches, studies in differential evolution, evolutionary multiobjective constrained optimization, hybrid approaches, real-world applications and the recent use of the artificial immune system in constrained optimization. Within the chapters, the reader will find different studies about specialized subjects, such as: special mechanisms to focus the search on the boundaries of the feasible region, the relevance of infeasible solutions in the search process, parameter control in constrained optimization, the combination of mathematical programming techniques and evolutionary algorithms in constrained search spaces and the adaptation of novel nature-inspired algorithms for numerical optimization with constraints. "Constraint-Handling in Evolutionary Optimization" is an important reference for researchers, practitioners and students in disciplines such as optimization, natural computing, operations research, engineering and computer science. | ||
| 700 | 1 | |a Mezura-Montes, Efrén. |4 pbd | |
| 776 | 0 | |t Constraint-Handling in Evolutionary Optimization |b Texte imprimé |z 9783642101557 | |
| 776 | 0 | |t Constraint-Handling in Evolutionary Optimization |b Texte imprimé |z 9783642017919 | |
| 776 | 0 | |0 135480892 |t Constraint-handling in evolutionary optimization |f Efrén Mezura-Montes (ed.) |c Berlin |n Springer |d 2009 |p 1 vol. (xv-264 p.) |s Studies in computational intelligence |z 978-3-642-00618-0 | |
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