- Published Year: 2009
- Page count: 226
- File Size: 3 Mb
- Language: English
- Published by: Springer-Verlag Berlin Heidelberg
- Visited by: 2
- Rating/Review: 4.4
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ISBN:
3540921508
9783540921509
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Learn MoreDifferential evolution: A handbook for global permutation-based combinatorial optimization
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Each download or ask from book AI costs 2 points. To earn more free points, please visit the Points Guide Page and complete some valuable actions.In the rapidly evolving landscape of combinatorial optimization, where solving complex problems efficiently is of paramount importance, "Differential Evolution: A Handbook for Global Permutation-Based Combinatorial Optimization" emerges as an authoritative guide. This book delves into the meticulous strategies and algorithms that form the crux of differential evolution, tailored specifically for global permutation-based problems.
Detailed Summary of the Book
As the digital world grapples with increasingly complex optimization problems, finding effective solutions has become crucial across various industries. This handbook provides an in-depth exploration of differential evolution (DE), a computational paradigm for solving these intricate challenges. Focusing on permutation-based combinatorial optimization, the book meticulously discusses the adaptation of DE for such non-trivial problems, including traveling salesman problems, scheduling, and resource allocation.
Within its pages, the authors meticulously detail the mechanics of DE, revealing its evolutionary process of mutation, crossover, and selection. It encapsulates both the foundational concepts and the latest advancements in DE techniques, offering a comprehensive toolkit for academicians, researchers, and practitioners in the field. Through carefully selected case studies and empirical research, the book demonstrates the practical application and efficacy of DE in real-world scenarios.
Key Takeaways
- Understanding DE: Gain a thorough understanding of differential evolution and its application in solving permutation-based problems.
- Algorithmic Insight: Learn the intricacies of evolutionary algorithms and how they mimic natural selection to optimize solutions.
- Case Study Applications: Discover how DE is utilized in various real-world applications, evidencing its versatility and efficiency.
- Framework for Optimization: Acquire a robust framework for tackling global combinatorial optimization challenges.
Famous Quotes from the Book
"In the quest for optimality, differential evolution stands as a testament to the power of simple ideas executed with precision."
"The elegance of DE lies in its ability to adapt and conquer the complexities of modern optimization problems, unwavering in the face of combinatorial chaos."
Why This Book Matters
In a world where optimization problems are ubiquitous and ever-evolving, "Differential Evolution: A Handbook for Global Permutation-Based Combinatorial Optimization" serves as a pivotal resource. It bridges the gap between theoretical computations and practical applications, empowering readers to tackle even the most daunting optimization challenges with confidence.
This book is not merely a compilation of algorithms; it is a testament to the inventive spirit of computational strategies. It is crucial for professionals who wish to stay ahead in their fields, providing them with the tools and knowledge to harness the full potential of differential evolution. By treating complex problems as opportunities for innovation, this handbook guides readers in reshaping the optimization landscape through efficient and effective techniques.
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