NDLI: Evolutionary annealing: global optimization in measure spaces

Content Provider	Springer Nature Link
Author	Lockett, Alan J. Miikkulainen, Risto
Copyright Year	2013
Abstract	Stochastic optimization methods such as evolutionary algorithms and Markov Chain Monte Carlo methods usually involve a Markov search of the optimization domain. Evolutionary annealing is an evolutionary algorithm that leverages all the information gathered by previous queries to the cost function. Evolutionary annealing can be viewed either as simulated annealing with improved sampling or as a non-Markovian selection mechanism for evolutionary algorithms. This article develops the basic algorithm and presents implementation details. Evolutionary annealing is a martingale-driven optimizer, where evaluation yields a source of increasingly refined information about the fitness function. A set of experiments with twelve standard global optimization benchmarks is performed to compare evolutionary annealing with six other stochastic optimization methods. Evolutionary annealing outperforms other methods on asymmetric, multimodal, non-separable benchmarks and exhibits strong performance on others. It is therefore a promising new approach to global optimization.
Starting Page	75
Ending Page	108
Page Count	34
File Format	PDF
ISSN	09255001
Journal	Journal of Global Optimization
Volume Number	58
Issue Number	1
e-ISSN	15732916
Language	English
Publisher	Springer US
Publisher Date	2013-04-21
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Annealed selection Real-space evolutionary annealing Non-Markovian selection Evolutionary computation Martingale-driven optimization Operations Research/Decision Theory Computer Science Real Functions Optimization
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Applied Mathematics Management Science and Operations Research Business, Management and Accounting Computer Science Applications

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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