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Can I read Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation) on EtoBox?
Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation) by Carlos A. Coello Coello, Gary B. Lamont, David A. Van Veldhuizen is a nonfiction available to read on EtoBox.
What is Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation) about?
This textbook is a second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, significantly expanded and adapted for the classroom. The various features of multi-objective evolutionary algorithms are presented here in an innovative and student-friendly fashion, incorporating state-of-the-art research. The book disseminates the application of evolutionary algorithm techniques to a variety of practical problems. It contains exhaustive appendices, index and bibliography and links to a complete set of teaching tutorials, exercises and solutions.
Who reads Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Carlos A. Coello Coello, Gary B. Lamont, David A. Van Veldhuizen
- Publisher
- Springer Science & Business Media
- Published
- 2007
- Language
- EN
- ISBN
- 9780387332543
- Category
- nonfiction
- Subjects
- Science, Mathematics, Programming
Other editions & translations
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