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Evolutionary Algorithms for Solving Multi-Objective Problems

This textbook is the second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, significantly augmented with contemporary knowledge and adapted for the classroom. All the various features of multi-objective evolutionary algorithms (MOEAs) are presented in an innovative and stude...

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Main Authors: Coello Coello, Carlos. (Author, http://id.loc.gov/vocabulary/relators/aut), Lamont, Gary B. (http://id.loc.gov/vocabulary/relators/aut), van Veldhuizen, David A. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 2007.
Edition:2nd ed. 2007.
Series:Genetic and Evolutionary Computation,
Subjects:
Computer programming.
Computers.
Mathematical optimization.
Probabilities.
Algorithms.
Artificial intelligence.
Programming Techniques.
Theory of Computation.
Optimization.
Probability Theory and Stochastic Processes.
Algorithm Analysis and Problem Complexity.
Artificial Intelligence.
Online Access:https://doi.org/10.1007/978-0-387-36797-2

Internet

https://doi.org/10.1007/978-0-387-36797-2

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