• Title: Evolutionary Algorithms
• Author(s) Eisuke Kita
• Publisher: IN-TECH;
• License(s): Attribution 3.0 Unported (CC BY 3.0)
• 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 bio-inspired algorithms based on Darwin’s theory of evolution. They are expected to provide non-optimal but good quality solutions to problems whose resolution is impracticable by exact methods.

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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• Operations Research (OR), Linear Programming, Optimization, and Approximation
• Artificial Intelligence, Machine Learning, and Logic Programming
• Machine Learning
• Algorithms and Data Structures
• Discrete Mathematics

• Evolutionary Algorithms (Eisuke Kita)
• PDF Format
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