Cantitate/Preț
Produs
Total produse
Vezi coșul
Constraint-Handling in Evolutionary Optimization de Efrén Mezura-Montes

Constraint-Handling in Evolutionary Optimization: Studies in Computational Intelligence, cartea 198

Editat de Efrén Mezura-Montes
en Limba Engleză Paperback – 28 oct 2010
Descriere de la o altă ediție sau format:
This book is the result of a special session on constraint-handling techniques used in evolutionary algorithms within the Congress on Evolutionary Computation (CEC) in 2007. It presents recent research in constraint-handling in evolutionary optimization.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 61989 lei  6-8 săpt.
  Springer Berlin, Heidelberg – 28 oct 2010 61989 lei  6-8 săpt.
Hardback (1) 62607 lei  6-8 săpt.
  Springer Berlin, Heidelberg – 7 apr 2009 62607 lei  6-8 săpt.

Din seria Studies in Computational Intelligence

Preț: 61989 lei

Preț vechi: 77487 lei
-20% Nou

Puncte Express: 930
Preț estimativ în valută:
10972€ • 12776$ • 9583£

Carte tipărită la comandă

Livrare economică 22 ianuarie-05 februarie 26

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783642101557
ISBN-10: 3642101550
Pagini: 280
Ilustrații: XV, 264 p.
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.4 kg
Ediția:Softcover reprint of hardcover 1st ed. 2009
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

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.

Textul de pe ultima copertă

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.

Caracteristici

Recent research in Constraint-Handling in Evolutionary Optimization Includes supplementary material: sn.pub/extras