Evolutionary Algorithms for Solving Multi-Objective Problems /

The solving of multi-objective problems (MOPs) has been a continuing effort by humans in many diverse areas, including computer science, engineering, economics, finance, industry, physics, chemistry, and ecology, among others. Many powerful and deterministic and stochastic techniques for solving the...

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Bibliographic Details

Main Author:	Coello Coello, Carlos A.
Corporate Author:	SpringerLink (Online service)
Other Authors:	Veldhuizen, David A., Lamont, Gary B.
Format:	eBook
Language:	English
Published:	Boston, MA : Springer US, 2002.
Series:	Genetic algorithms and evolutionary computation ; 5.
Subjects:	Computer science. Information theory. Artificial intelligence. Engineering. Operations research. Electronic books.
Online Access:	Connect to the full text of this electronic book