Differential Evolution

1. Front Matter

   Pages i-xii

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2. Differential Evolution

   Pages 1-24

3. Neoteric Differential Evolution

   Pages 25-40

4. Strategies of Search

   Pages 41-67

5. Exploration and Exploitation

   Pages 69-81

6. New Performance Measures

   Pages 83-90

7. Transversal Differential Evolution

   Pages 91-100

8. On Analogy with Some Other Algorithms

   Pages 101-110

9. Energetic Selection Principle

   Pages 111-120

10. On Hybridization of Differential Evolution

    Pages 121-132

11. Applications

    Pages 133-143

12. End Notes

    Pages 145-148

13. Back Matter

    Pages 149-196

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Di?erential evolution is one of the most recent global optimizers. Discovered in 1995 it rapidly proved its practical e?ciency. This book gives you a chance to learn all about di?erential evolution. On reading it you will be able to pro?tably apply this reliable method to problems in your ?eld. Asforme,mypassionforintelligentsystemsandoptimizationbeganasfar back as during my studies at Moscow State Technical University of Bauman, the best engineering school in Russia. At that time, I was gathering material for my future thesis. Being interested in my work, the Mining School of Paris proposed that I write a dissertation in France. I hesitated some time over a choice, but my natural curiosity and taste for novelty ?nally prevailed. At ´ present, Docteur ` es science en informatique de l’EcoledesMinesdeParis,I am concentrating on the development of my own enterprise. If optimization is my vocation, my hobbies are mathematics and music. Although mathematics disciplines the mind, music is ?lled with emotions. While playing my favorite composition, I decided to write this book. The purpose of the book is to give, in a condensed but overview form, a description of di?erential evolution. In addition, this book makes accessible to a wide audience the fruits of my long research in optimization. Namely, I laid the foundation of the universal concept of search strategies design, suitable not only for di?erential evolution but for many other algorithms. Also, I introduced a principle of energetic selection, an e?cient method of hybridization, and advanced paralleling techniques.

• Optimization algorithm
• Optimization algorithms
• algorithm
• algorithms
• evolution
• heuristics
• metaheuristic
• optimization

From the reviews:

"The book covers almost everything, including the latest developments, about the evolutionary meta-heuristic approach. … a well-written book which is enriched by the interesting writing style of the author. … The author is not only an expert in the field of the book, but also has had a great impact on its latest developments … . the stress of the book lies more on the practical side of the algorithm than on its theory, it is a good source for academia, science and especially practice." (Panos M. Pardalos, Mathematical Reviews, Issue 2007 e)

"The book deals with the neoteric differential evolution, strategies of search, transversal differential evolution, energetic selection principle, hybridization of differential evolution and applications. The writing style is very dynamic and nice, inviting the interested reader (students, teachers, engineers etc.) to learn more about this exciting subject." (Florin Gorunescu, Zentralblatt MATH, Vol. 1136 (14), 2008)

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