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Evolutionary Algorithms in Engineering Applications [Paperback]

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  • Category: Books (Computers)
  • ISBN-10:  3642082823
  • ISBN-10:  3642082823
  • ISBN-13:  9783642082825
  • ISBN-13:  9783642082825
  • Publisher:  Springer
  • Publisher:  Springer
  • Pages:  558
  • Pages:  558
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Jan-2010
  • Pub Date:  01-Jan-2010
  • SKU:  3642082823-11-SPRI
  • SKU:  3642082823-11-SPRI
  • Item ID: 100774967
  • List Price: $189.00
  • Seller: ShopSpell
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  • Delivery by: Jul 03 to Jul 05
  • Notes: Brand New Book. Order Now.
Evolutionary algorithms are general-purpose search procedures based on the mechanisms of natural selection and population genetics. They are appealing because they are simple, easy to interface, and easy to extend. This volume is concerned with applications of evolutionary algorithms and associated strategies in engineering. It will be useful for engineers, designers, developers, and researchers in any scientific discipline interested in the applications of evolutionary algorithms. The volume consists of five parts, each with four or five chapters. The topics are chosen to emphasize application areas in different fields of engineering. Each chapter can be used for self-study or as a reference by practitioners to help them apply evolutionary algorithms to problems in their engineering domains.Evolutionary algorithms are general-purpose search procedures based on the mechanisms of natural selection and population genetics. They are appealing because they are simple, easy to interface, and easy to extend. This volume is concerned with applications of evolutionary algorithms and associated strategies in engineering. It will be useful for engineers, designers, developers, and researchers in any scientific discipline interested in the applications of evolutionary algorithms. The volume consists of five parts, each with four or five chapters. The topics are chosen to emphasize application areas in different fields of engineering. Each chapter can be used for self-study or as a reference by practitioners to help them apply evolutionary algorithms to problems in their engineering domains.I Introduction.- Evolutionary Algorithms  An Overview.- Robust Encodings in Genetic Algorithms.- II Architecture and Civil Engineering.- Genetic Engineering and Design Problems.- The Generation of Form Using an Evolutionary Approach.- Evolutionary Optimization of Composite Structures.- Flaw Detection and Configuration with Genetic Algorithms.- A Genetic Algorithm Approach for River ManagemelÈ
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