Multi-Objective Memetic Algorithms

Mathematics
Multi-Objective Memetic Algorithms

Author: Chi-Keong Goh

Publisher: Springer

ISBN: 3540881670

Category: Mathematics

Page: 404

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The application of sophisticated evolutionary computing approaches for solving complex problems with multiple conflicting objectives in science and engineering have increased steadily in the recent years. Within this growing trend, Memetic algorithms are, perhaps, one of the most successful stories, having demonstrated better efficacy in dealing with multi-objective problems as compared to its conventional counterparts. Nonetheless, researchers are only beginning to realize the vast potential of multi-objective Memetic algorithm and there remain many open topics in its design. This book presents a very first comprehensive collection of works, written by leading researchers in the field, and reflects the current state-of-the-art in the theory and practice of multi-objective Memetic algorithms. "Multi-Objective Memetic algorithms" is organized for a wide readership and will be a valuable reference for engineers, researchers, senior undergraduates and graduate students who are interested in the areas of Memetic algorithms and multi-objective optimization.
Multi-Objective Memetic Algorithms
Language: en
Pages: 404

Multi-Objective Memetic Algorithms

Authors: Chi-Keong Goh, Yew Soon Ong, Kay Chen Tan
Categories: Mathematics
Type: BOOK - Published: 2009-02-26 - Publisher: Springer Science & Business Media

The application of sophisticated evolutionary computing approaches for solving complex problems with multiple conflicting objectives in science and engineering have increased steadily in the recent years. Within this growing trend, Memetic algorithms are, perhaps, one of the most successful stories, having demonstrated better efficacy in dealing with multi-objective problems as
Multi-Objective Memetic Algorithms
Language: en
Pages: 404

Multi-Objective Memetic Algorithms

Authors: Chi-Keong Goh, Yew Soon Ong, Kay Chen Tan
Categories: Mathematics
Type: BOOK - Published: 2009-08-29 - Publisher: Springer

The application of sophisticated evolutionary computing approaches for solving complex problems with multiple conflicting objectives in science and engineering have increased steadily in the recent years. Within this growing trend, Memetic algorithms are, perhaps, one of the most successful stories, having demonstrated better efficacy in dealing with multi-objective problems as
Handbook of Memetic Algorithms
Language: en
Pages: 370

Handbook of Memetic Algorithms

Authors: Ferrante Neri, Carlos Cotta, Pablo Moscato
Categories: Mathematics
Type: BOOK - Published: 2011-10-18 - Publisher: Springer Science & Business Media

Memetic Algorithms (MAs) are computational intelligence structures combining multiple and various operators in order to address optimization problems. The combination and interaction amongst operators evolves and promotes the diffusion of the most successful units and generates an algorithmic behavior which can handle complex objective functions and hard fitness landscapes. “Handbook
Comparison of Multiobjective Memetic Algorithms on 0/1 Knapsack Problems
Language: en
Pages:

Comparison of Multiobjective Memetic Algorithms on 0/1 Knapsack Problems

Authors: Hisao Ishibuchi, Shiori Kaige
Categories: Mathematics
Type: BOOK - Published: 2003 - Publisher:

Books about Comparison of Multiobjective Memetic Algorithms on 0/1 Knapsack Problems
Handbook of Memetic Algorithms
Language: en
Pages: 370

Handbook of Memetic Algorithms

Authors: Ferrante Neri, Carlos Cotta, Pablo Moscato
Categories: Mathematics
Type: BOOK - Published: 2013-11-30 - Publisher: Springer

Memetic Algorithms (MAs) are computational intelligence structures combining multiple and various operators in order to address optimization problems. The combination and interaction amongst operators evolves and promotes the diffusion of the most successful units and generates an algorithmic behavior which can handle complex objective functions and hard fitness landscapes. “Handbook

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