Theory of Evolutionary Computation is popular PDF and ePub book, written by Benjamin Doerr in 2019-11-20, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Theory of Evolutionary Computation can be Read Online from any device for your convenience.

Theory of Evolutionary Computation Book PDF Summary

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 that are often used in the analysis of randomized search heuristics, followed by three chapters on how to measure the complexity of a search heuristic: black-box complexity, a counterpart of classical complexity theory in black-box optimization; parameterized complexity, aimed at a more fine-grained view of the difficulty of problems; and the fixed-budget perspective, which answers the question of how good a solution will be after investing a certain computational budget. The book then describes theoretical results on three important questions in evolutionary computation: how to profit from changing the parameters during the run of an algorithm; how evolutionary algorithms cope with dynamically changing or stochastic environments; and how population diversity influences performance. Finally, the book looks at three algorithm classes that have only recently become the focus of theoretical work: estimation-of-distribution algorithms; artificial immune systems; and genetic programming. Throughout the book the contributing authors try to develop an understanding for how these methods work, and why they are so successful in many applications. The book will be useful for students and researchers in theoretical computer science and evolutionary computing.

Detail Book of Theory of Evolutionary Computation PDF

Theory of Evolutionary Computation
  • Author : Benjamin Doerr
  • Release : 20 November 2019
  • Publisher : Springer Nature
  • ISBN : 9783030294144
  • Genre : Computers
  • Total Page : 506 pages
  • Language : English
  • PDF File Size : 20,6 Mb

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