Opening book details…
Can I read Analyzing Evolutionary Algorithms: The Computer Science Perspective (Natural Computing Series) on EtoBox?
Analyzing Evolutionary Algorithms: The Computer Science Perspective (Natural Computing Series) by Jansen, Thomas is a computer science book available to read on EtoBox.
What is Analyzing Evolutionary Algorithms: The Computer Science Perspective (Natural Computing Series) about?
Evolutionary algorithms is a class of randomized heuristics inspired by natural evolution. They are applied in many different contexts, in particular in optimization, and analysis of such algorithms has seen tremendous advances in recent years. In this book the author provides an introduction to the methods used to analyze evolutionary algorithms and other randomized search heuristics. He starts with an algorithmic and modular perspective and gives guidelines for the design of evolutionary algor
Who reads Analyzing Evolutionary Algorithms: The Computer Science Perspective (Natural Computing Series)?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Jansen, Thomas
- Publisher
- Springer Berlin
- Published
- 2012
- Language
- EN
- ISBN
- 9783642173387
- Category
- computer science
- Subjects
- Mathematics, Computer Science, Computers
- Updated
- 2026-03-25
Other editions & translations
More by Jansen, Thomas
Browse all works by Jansen, Thomas
Similar books
- Natural Computing Algorithms (Natural Computing Series) — Anthony Brabazon, Michael O'Neill, Seán McGarraghy (auth.) (2015)
- Multimodal Optimization by Means of Evolutionary Algorithms (Natural Computing Series) — Mike Preuss (auth.) (2015)
- Evolutionary Algorithms: The Role of Mutation and Recombination (Natural Computing Series) — William M. Spears (2000)
- Massively Parallel Evolutionary Computation on GPGPUs (Natural Computing Series) — Pierre Collet (auth.), Shigeyoshi Tsutsui, (2013)
- Theory of Evolutionary Computation: Recent Developments in Discrete Optimization (Natural Computing Series) (2020)
- Spatially Structured Evolutionary Algorithms: Artificial Evolution in Space and Time (Natural Computing Series) — Marco Tomassini (2005)