The Theory of Evolution Strategies (Natural Computing Series) - Image 1

£123.81

Springer The Theory of Evolution Strategies (Natural Computing Series)

Name: The Theory of Evolution Strategies (Natural Computing Series)
Brand: Springer
Price: 128.85 GBP
Availability: InStock

AI & Machine Learning

Price History & Forecast

Last 88 days • 88 data points

Historical

Generating forecast...

Price Distribution

Price distribution over 88 days • 4 price levels

Days at Price

Current Price

Price Analysis

Most common price: £124 (45 days, 51.1%)

Price range: £119 - £129

Price levels: 4 different prices over 88 days

Description

Evolutionary Algorithms, in particular Evolution Strategies, Genetic Algorithms, or Evolutionary Programming, have found wide acceptance as robust optimization algorithms in the last ten years. Compared with the broad propagation and the resulting practical prosperity in different scientific fields, the theory has not progressed as much. This monograph provides the framework and the first steps toward the theoretical analysis of Evolution Strategies (ES). The main emphasis is on understanding the functioning of these probabilistic optimization algorithms in real-valued search spaces by investigating the dynamical properties of some well-established ES algorithms. The book introduces the basic concepts of this analysis, such as progress rate, quality gain, and self-adaptation response, and describes how to calculate these quantities. Based on the analysis, functioning principles are derived, aiming at a qualitative understanding of why and how ES algorithms work.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 3540672974
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 27 March 2001
Listed Since: 16 December 2006

Barcode

No barcode data available

Springer The Theory of Evolution Strategies (Natural Computing Series)

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Evolutionary Algorithms in Engineering Applications

Applications of Evolutionary Computation: 18th European Conference, EvoApplications 2015, Copenhagen, Denmark, April 8-10, 2015, Proceedings: 9028 (Lecture Notes in Computer Science, 9028)

Applications of Evolutionary Computing: Evoworkshops: EvoBIO, EvoCOMNET, EvoHot, EvoIASP, EvoMUSART, and EvoSTOC: 3449 (Lecture Notes in Computer Science, 3449)

Theoretical Aspects of Evolutionary Computing (Natural Computing Series)

Optinformatics in Evolutionary Learning and Optimization: 25 (Adaptation, Learning, and Optimization, 25)

Evolution, Games, And Economic Behaviour

Genetic and Evolutionary Computing: Proceedings of the Fourteenth International Conference on Genetic and Evolutionary Computing, October 21-23, 2021, ... Notes in Electrical Engineering, 833)

Principles of Evolution: Systems, Species, and the History of Life

Evolutionary Electronics: Automatic Design of Electronic Circuits and Systems by Genetic Algorithms (International Series on Computational Intelligence)

Evolutionary Multiobjective Optimization: Theoretical Advances and Applications (Advanced Information and Knowledge Processing)

Numerical and Evolutionary Optimization – NEO 2017: 785 (Studies in Computational Intelligence, 785)

Handbook of Bioinspired Algorithms and Applications (Chapman & Hall/Ctc Computer and Information Science Series)

Evolutionary Machine Design: Methodology & Applications

Evolutionary Algorithms in Water Resources (In Focus – Special Book Series)

Modelling Evolution: A New Dynamic Account (History and Philosophy of Biology)

Recent Advances in Evolutionary Multi-objective Optimization: 20 (Adaptation, Learning, and Optimization, 20)

Genetic Algorithms for Machine Learning

Evolutionary Multi-Objective System Design: Theory and Applications (Chapman & Hall/CRC Computer and Information Science Series)

Nature Inspired Cooperative Strategies for Optimization (NICSO 2013): Learning, Optimization and Interdisciplinary Applications: 512 (Studies in Computational Intelligence, 512)

Evolutionary Multi-Task Optimization: Foundations and Methodologies (Machine Learning: Foundations, Methodologies, and Applications)

Evolutionary and Swarm Intelligence Algorithms: 779 (Studies in Computational Intelligence, 779)

The Quasispecies Equation and Classical Population Models: 102 (Probability Theory and Stochastic Modelling, 102)

Adaptive Individuals In Evolving Populations: Models And Algorithms

Epistasis: Methods and Protocols: 2212 (Methods in Molecular Biology, 2212)