• Title Evolutionary Algorithms
• Author(s) Eisuke Kita
• Publisher: IN-TECH (April, 2011)
• Hardcover 584 pages
• eBook Online, HTML, PDF
• Language: English
• ISBN-10: N/A
• ISBN-13: 978-953-307-171-8
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Book Description

Evolutionary algorithms are successively applied to wide optimization problems in the engineering, marketing, operations research, and social science, such as include scheduling, genetics, material selection, structural design and so on. Apart from mathematical optimization problems, evolutionary algorithms have also been used as an experimental framework within biological evolution and natural selection in the field of artificial life.

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Related Book Categories:

• Operations Research (OR), Linear Programming, Optimization, and Approximation
• Algorithms and Data Structures
• Computational and Algorithmic Mathematics
• Computational Complexity
• Discrete Mathematics

• Evolutionary Algorithms ©2011 (Eisuke Kita)