Differential Evolution
A Practical Approach to Global Optimization
Buch in deiner Nähe kaufen
Beschreibung
The Differential Evolution algorithm (DE) is a practical approach to global numerical optimization that is easy to understand, simple to implement, reliable, and fast. Packed with illustrations, computer code, new insights, and practical advice, this volume explores Differential Evolution (DE) in both principle and practice. It is a valuable resource for professionals needing a proven optimizer.
Depth of coverage. In-depth analysis of DE by its original creators that is not available elsewhere Expanded problem domains. Hands-on advice on how to apply DE to unconstrained, constrained, continuous and discrete numerical optimization problems New insights. The role of invariance principles in optimization and the similarities and differences between DE and other methods, like simulated annealing and evolution strategies New strategies. The latest extensions to the DE algorithm Applications. Real-world problems in signal processing, optical engineering, coding theory, robotics, etc., that have been solved by DE, many of which include comparisons to other optimization methods Includes supplementary material: sn.pub/extras
Autor*in
Kenneth Price
Themen in »Differential Evolution«
Design Differential evolution Evolutionary computation Genetic Algorithms Global optimization Numerical optimization Variable algorithms computer optimization algorithm analysis and problem complexity
Stimmen zu »Differential Evolution«
From the reviews:"This book is about an evolutionary method, called differential evolution (DE) … . the authors claim that ‘this book is designed to be easy to understand and simple to use’. Indeed, they have achieved their goal. The book is enjoyable to read, fully illustrated with figures and C-like pseudocodes … . this book is foremost addressed to engineers … . Moreover, those interested in evolutionary algorithms will certainly find this book to be both interesting and useful." (Panos M. Pardalos, Mathematical Reviews, Issue 2006 g)
()