Adaptive Differential Evolution: A Robust Approach to Multimodal Problem Optimization: 1 (Adaptation, Learning, and Optimization)
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Adaptive Differential Evolution: A Robust Approach to Multimodal Pr...
Book Details
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Author: Zhang, Jingqiao
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Brand: Springer
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Edition: 2009 ed.
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Binding: Paperback
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Format: Import
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Number of Pages: 164
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Release Date: 04-05-2012
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ISBN: 9783642015267
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Languages: English
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Package Dimensions:
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Length: 9.0 inches
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Width: 6.0 inches
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Height: 0.5 inches
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About The Book
"Adaptive Differential Evolution: A Study of Control Parameters" by Jingqiao Zhang is a deep dive into the field of evolutionary algorithms, focusing on differential evolution (DE) and its potential for solving complex optimization problems. The book draws from years of research, including collaborations with prominent figures in the field like Arthur Sanderson, offering a robust theoretical foundation for understanding the intricacies of DE.
Differential evolution, a recent branch of evolutionary algorithms, is particularly well-suited for optimization problems that are discontinuous, non-linear, non-convex, and multimodal. However, to fully harness its power, the control parameters of DE must be carefully calibrated. This book explores the theoretical aspects of DE and analyzes algorithmic approaches for adapting its control parameters across various optimization stages.
The book delves into various aspects of DE, including:
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Theoretical analysis of differential evolution and its control parameters.
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Algorithmic design and comparative analysis of parameter adaptive schemes.
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Scalability analysis of adaptive differential evolution.
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Multi-objective optimization using adaptive differential evolution.
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Incorporating surrogate models for computationally expensive optimization problems.
Real-world applications of DE, such as winner determination in combinatorial auctions, flight route planning in air traffic management, and credit decision-making optimization, are also discussed in detail. Whether you’re an academic, researcher, or practitioner, this book provides essential insights into the dynamic world of adaptive differential evolution.
