• Title Advances in Evolutionary Algorithms
• Author(s) Witold Kosinski
• Publisher: IN-TECH (January 2008)
• Hardcover 284 pages
• eBook HTML
• Language: English
• ISBN-10: N/A
• ISBN-13: 978-953-7619-11-4
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Book Description

Genetic and evolutionary algorithms (GEAs) have often achieved an enviable success in solving optimization problems in a wide range of disciplines. The goal of this book is to provide effective optimization algorithms for solving a broad class of problems quickly, accurately, and reliably by employing evolutionary mechanisms. In this regard, five significant issues have been investigated:

• Bridging the gap between theory and practice of GEAs, thereby providing practical design guidelines.
• Demonstrating the practical use of the suggested road map.
• Offering a useful tool to significantly enhance the exploratory power in time-constrained and memory-limited applications.
• Providing a class of promising procedures that are capable of scalably solving hard problems in the continuous domain.
• Opening an important track for multiobjective GEA research that relies on decomposition principle.

This book serves to play a decisive role in bringing forth a paradigm shift in future evolutionary computation.

• N/A

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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
• Computational and Algorithmic Mathematics
• Computational Complexity
• Discrete Mathematics

• Advances in Evolutionary Algorithms (Witold Kosinski)

• Evolutionary Algorithms (Eisuke Kita)
• Ant Colony Optimization - Techniques and Applications
• Planning Algorithms (Steven M. LaValle)
• Genetic and Evolutionary Computation for Image Processing and Analysis