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Download the fantastic book titled Advances in Evolutionary Computing written by Ashish Ghosh, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Advances in Evolutionary Computing", which was released on 06 December 2012. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of Advances in Evolutionary Computing by Ashish Ghosh PDF

This book provides a collection of fourty articles containing new material on both theoretical aspects of Evolutionary Computing (EC), and demonstrating the usefulness/success of it for various kinds of large-scale real world problems. Around 23 articles deal with various theoretical aspects of EC and 17 articles demonstrate the success of EC methodologies. These articles are written by leading experts of the field from different countries all over the world.

Advances in Evolutionary Computing

Detail About Advances in Evolutionary Computing PDF

  • Author : Ashish Ghosh
  • Publisher : Springer Science & Business Media
  • Genre : Computers
  • Total Pages : 1001 pages
  • ISBN : 3642189652
  • PDF File Size : 26,8 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Advances in Evolutionary Computing

Advances in Evolutionary Computing
  • Publisher : Springer Science & Business Media
  • File Size : 32,7 Mb
  • Release Date : 06 December 2012
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This book provides a collection of fourty articles containing new material on both theoretical aspects of Evolutionary Computing (EC), and demonstrating the usefulness/success of it for various kinds of

Advances in Evolutionary Algorithms

Advances in Evolutionary Algorithms
  • Publisher : Springer
  • File Size : 25,8 Mb
  • Release Date : 22 May 2007
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Genetic and evolutionary algorithms (GEAs) have often achieved an enviable success in solving optimization problems in a wide range of disciplines. This book provides effective optimization algorithms for solving a

Introduction to Evolutionary Computing

Introduction to Evolutionary Computing
  • Publisher : Springer Science & Business Media
  • File Size : 31,7 Mb
  • Release Date : 14 March 2013
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The first complete overview of evolutionary computing, the collective name for a range of problem-solving techniques based on principles of biological evolution, such as natural selection and genetic inheritance. The

Towards a New Evolutionary Computation

Towards a New Evolutionary Computation
  • Publisher : Springer
  • File Size : 48,7 Mb
  • Release Date : 21 January 2006
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Estimation of Distribution Algorithms (EDAs) are a set of algorithms in the Evolutionary Computation (EC) field characterized by the use of explicit probability distributions in optimization. Contrarily to other EC

Recent Advances in Swarm Intelligence and Evolutionary Computation

Recent Advances in Swarm Intelligence and Evolutionary Computation
  • Publisher : Springer
  • File Size : 23,7 Mb
  • Release Date : 27 December 2014
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This timely review volume summarizes the state-of-the-art developments in nature-inspired algorithms and applications with the emphasis on swarm intelligence and bio-inspired computation. Topics include the analysis and overview of swarm

Theory of Evolutionary Computation

Theory of Evolutionary Computation
  • Publisher : Springer Nature
  • File Size : 52,9 Mb
  • Release Date : 20 November 2019
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This edited book reports on recent developments in the theory of evolutionary computation, or more generally the domain of randomized search heuristics. It starts with two chapters on mathematical methods

New Achievements in Evolutionary Computation

New Achievements in Evolutionary Computation
  • Publisher : BoD – Books on Demand
  • File Size : 30,9 Mb
  • Release Date : 01 February 2010
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Evolutionary computation has been widely used in computer science for decades. Even though it started as far back as the 1960s with simulated evolution, the subject is still evolving. During

Introduction to Evolutionary Computing

Introduction to Evolutionary Computing
  • Publisher : Springer
  • File Size : 34,8 Mb
  • Release Date : 01 July 2015
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The overall structure of this new edition is three-tier: Part I presents the basics, Part II is concerned with methodological issues, and Part III discusses advanced topics. In the second

Advances in Evolutionary Computing for System Design

Advances in Evolutionary Computing for System Design
  • Publisher : Springer
  • File Size : 52,6 Mb
  • Release Date : 07 July 2007
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Evolutionary computing paradigms offer robust and powerful adaptive search mechanisms for system design. This book’s thirteen chapters cover a wide area of topics in evolutionary computing and applications, including

Evolutionary Computation

Evolutionary Computation
  • Publisher : CRC Press
  • File Size : 53,6 Mb
  • Release Date : 22 June 2000
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Rapid advances in evolutionary computation have opened up a world of applications-a world rapidly growing and evolving. Decision making, neural networks, pattern recognition, complex optimization/search tasks, scheduling, control, automated