Can I read Theory of Evolutionary Computation: Recent Developments in Discrete Optimization (Natural Computing Series) on EtoBox?

Theory of Evolutionary Computation: Recent Developments in Discrete Optimization (Natural Computing Series) by Benjamin Doerr; Frank Neumann; SpringerLink (Online service) is a nonfiction available to read on EtoBox.

What is Theory of Evolutionary Computation: Recent Developments in Discrete Optimization (Natural Computing Series) about?

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 programmi

Who reads Theory of Evolutionary Computation: Recent Developments in Discrete Optimization (Natural Computing Series)?

Author

Benjamin Doerr; Frank Neumann; SpringerLink (Online service)

Publisher

Springer International Publishing : Imprint: Springer

Published

2020

Language

EN

ISBN

9783030294151

Category

nonfiction

Subjects

Business, Mathematics, Engineering