[PDF] Evolutionary Constrained Optimization eBook

Author : Rituparna Datta
Publisher : Springer
Page : 330 pages
File Size : 27,37 MB
Release : 2014-12-13
Category : Technology & Engineering
ISBN : 8132221842

GET BOOK

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 variables; application of constraint handling techniques to real-world problems; and constrained optimization in dynamic environment. There is also a separate chapter on hybrid optimization, which is gaining lots of popularity nowadays due to its capability of bridging the gap between evolutionary and classical optimization. The material in the book is useful to researchers, novice, and experts alike. The book will also be useful for classroom teaching and future research.

Author : Keigo Watanabe
Publisher : Springer
Page : 183 pages
File Size : 31,21 MB
Release : 2012-11-02
Category : Technology & Engineering
ISBN : 354039883X

GET BOOK

Evolutionary computation, a broad field that includes genetic algorithms, evolution strategies, and evolutionary programming, has proven to offer well-suited techniques for industrial and management tasks - therefore receiving considerable attention from scientists and engineers during the last decade. This monograph develops and analyzes evolutionary algorithms that can be successfully applied to real-world problems such as robotic control. Although of particular interest to robotic control engineers, Evolutionary Computations also may interest the large audience of researchers, engineers, designers and graduate students confronted with complicated optimization tasks.

Author : Efrén Mezura-Montes
Publisher : Springer Science & Business Media
Page : 273 pages
File Size : 31,70 MB
Release : 2009-04-07
Category : Computers
ISBN : 3642006183

GET BOOK

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.

Author : Ruhul Sarker
Publisher : Springer Science & Business Media
Page : 416 pages
File Size : 48,6 MB
Release : 2006-04-11
Category : Business & Economics
ISBN : 0306480417

GET BOOK

Evolutionary computation techniques have attracted increasing att- tions in recent years for solving complex optimization problems. They are more robust than traditional methods based on formal logics or mathematical programming for many real world OR/MS problems. E- lutionary computation techniques can deal with complex optimization problems better than traditional optimization techniques. However, most papers on the application of evolutionary computation techniques to Operations Research /Management Science (OR/MS) problems have scattered around in different journals and conference proceedings. They also tend to focus on a very special and narrow topic. It is the right time that an archival book series publishes a special volume which - cludes critical reviews of the state-of-art of those evolutionary com- tation techniques which have been found particularly useful for OR/MS problems, and a collection of papers which represent the latest devel- ment in tackling various OR/MS problems by evolutionary computation techniques. This special volume of the book series on Evolutionary - timization aims at filling in this gap in the current literature. The special volume consists of invited papers written by leading - searchers in the field. All papers were peer reviewed by at least two recognised reviewers. The book covers the foundation as well as the practical side of evolutionary optimization.

Author : Ajith Abraham
Publisher : Springer Science & Business Media
Page : 313 pages
File Size : 27,48 MB
Release : 2005-09-05
Category : Computers
ISBN : 1846281377

GET BOOK

Evolutionary Multi-Objective Optimization is an expanding field of research. This book brings a collection of papers with some of the most recent advances in this field. The topic and content is currently very fashionable and has immense potential for practical applications and includes contributions from leading researchers in the field. Assembled in a compelling and well-organised fashion, Evolutionary Computation Based Multi-Criteria Optimization will prove beneficial for both academic and industrial scientists and engineers engaged in research and development and application of evolutionary algorithm based MCO. Packed with must-find information, this book is the first to comprehensively and clearly address the issue of evolutionary computation based MCO, and is an essential read for any researcher or practitioner of the technique.

Author : Efrén Mezura-Montes
Publisher : Springer
Page : 273 pages
File Size : 42,50 MB
Release : 2009-05-03
Category : Computers
ISBN : 3642006191

GET BOOK

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.

Author : Kenneth Price
Publisher : Springer Science & Business Media
Page : 544 pages
File Size : 23,86 MB
Release : 2006-03-04
Category : Mathematics
ISBN : 3540313060

GET BOOK

Problems demanding globally optimal solutions are ubiquitous, yet many are intractable when they involve constrained functions having many local optima and interacting, mixed-type variables. The differential evolution (DE) algorithm is a practical approach to global numerical optimization which is easy to understand, simple to implement, reliable, and fast. Packed with illustrations, computer code, new insights, and practical advice, this volume explores DE in both principle and practice. It is a valuable resource for professionals needing a proven optimizer and for students wanting an evolutionary perspective on global numerical optimization.

Author : C. H. M. van Kemenade
Publisher :
Page : 8 pages
File Size : 17,62 MB
Release : 1996
Category : Evolutionary computation
ISBN :

GET BOOK

Abstract: "Evolutionary algorithms simulate the process of evolution in order to evolve solutions to optimization problems. An interesting domain of application is to solve numerical constrained optimization problems. We introduce a simple constrained optimization problem with scalable dimension, adjustable complexity, and a known optimal solution. A set of evolutionary algorithms, all using different selection schemes, is applied to this problem. The performance of the evolutionary algorithms differs strongly. Selection schemes that only use a limited number of offspring as parents for the next generation consistently outperform the schemes that accept all offspring as parents and adjust their fertility based on (relative) fitness during the experiments."

Author : Kalyanmoy Deb
Publisher : John Wiley & Sons
Page : 540 pages
File Size : 14,2 MB
Release : 2001-07-05
Category : Mathematics
ISBN : 9780471873396

GET BOOK

Optimierung mit mehreren Zielen, evolutionäre Algorithmen: Dieses Buch wendet sich vorrangig an Einsteiger, denn es werden kaum Vorkenntnisse vorausgesetzt. Geboten werden alle notwendigen Grundlagen, um die Theorie auf Probleme der Ingenieurtechnik, der Vorhersage und der Planung anzuwenden. Der Autor gibt auch einen Ausblick auf Forschungsaufgaben der Zukunft.