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Can I read Parameter Setting in Evolutionary Algorithms (Studies in Computational Intelligence (54)) on EtoBox?
Parameter Setting in Evolutionary Algorithms (Studies in Computational Intelligence (54)) by F.J. Lobo (editor), Cláudio F. Lima (editor), Zbigniew Michalewicz (editor) is a nonfiction available to read on EtoBox.
What is Parameter Setting in Evolutionary Algorithms (Studies in Computational Intelligence (54)) about?
<p><p>one Of The Main Difficulties Of Applying An Evolutionary Algorithm (or, As A Matter Of Fact, Any Heuristic Method) To A Given Problem Is To Decide On An Appropriate Set Of Parameter Values. Typically These Are Specified Before The Algorithm Is Run And Include Population Size, Selection Rate, Operator Probabilities, Not To Mention The Representation And The Operators Themselves. This Book Gives The Reader A Solid Perspective On The Different Approaches That Have Been Proposed To Automate Control Of These Parameters As Well As Understanding Their Interactions. The Book Covers A Broad Area Of Evolutionary Computation, Including Genetic Algorithms, Evolution Strategies, Genetic Programming, Estimation Of Distribution Algorithms, And Also Discusses The Issues Of Specific Parameters Used In Parallel Implementations, Multi-objective Evolutionary Algorithms, And Practical Consideration For Real-world Applications. It Is A Recommended Read For Researchers And Practitioners Of Evolutionary Computation And Heuristic Methods.</p>
Who reads Parameter Setting in Evolutionary Algorithms (Studies in Computational Intelligence (54))?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- F.J. Lobo (editor), Cláudio F. Lima (editor), Zbigniew Michalewicz (editor)
- Publisher
- Springer Spektrum. in Springer-Verlag GmbH
- Published
- 2007
- Language
- EN
- ISBN
- 9786610816941
- Category
- nonfiction
- Subjects
- Mathematics, Engineering, Computer Science
Other editions & translations
- Parameter Setting in Evolutionary Algorithms F Lobo et al Springer (2007)
- Foundations of Global Genetic Optimization (2007)
- Parameter Setting in Evolutionary Algorithms Volume 54 || (2007)
- Parameter Setting in Evolutionary Algorithms (Studies in Computational Intelligence (54)) (2010)
- Computational Intelligence for Agent-based Systems (2007)
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