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Can I read Advances in Evolutionary Algorithms: Theory, Design and Practice (Studies in Computational Intelligence (18)) on EtoBox?
Advances in Evolutionary Algorithms: Theory, Design and Practice (Studies in Computational Intelligence (18)) by Dr. Chang Wook Ahn (auth.) is a nonfiction available to read on EtoBox.
What is Advances in Evolutionary Algorithms: Theory, Design and Practice (Studies in Computational Intelligence (18)) about?
Every real-world problem from economic to scientific and engineering fields is ultimately confronted with a common task, viz., optimization. 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.
Who reads Advances in Evolutionary Algorithms: Theory, Design and Practice (Studies in Computational Intelligence (18))?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Dr. Chang Wook Ahn (auth.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Published
- 2006
- Language
- EN
- ISBN
- 9786610609628
- Category
- nonfiction
- Subjects
- Mathematics, Engineering, Science
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