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From "AVIJIT BASAK (Jira)" <j...@apache.org>
Subject [jira] [Created] (MATH-1619) Implementation of Adaptive Probability Generation
Date Sun, 01 Aug 2021 06:18:00 GMT
AVIJIT BASAK created MATH-1619:
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             Summary: Implementation of Adaptive Probability Generation
                 Key: MATH-1619
                 URL: https://issues.apache.org/jira/browse/MATH-1619
             Project: Commons Math
          Issue Type: Sub-task
    Affects Versions: 3.6.1
            Reporter: AVIJIT BASAK


An Adaptive Probability Generation has been proposed as part of the Jira. A new class AdaptiveGeneticAlgorithm
should be introduced as an implementation, which would extend the AbstractGeneticAlgorithm
class. A new ProbabilityGenerator interface would be introduced to enable configurable probability
generation strategy. The implementation of the ProbabilityGenerator interface for crossover
and mutation probability generation will be provided during creation of AdaptiveGeneticAlgorithm
instance. There can be different probability generation strategy like based on chromosome
rank, no of generations passed etc, population statistics\al parameters. The design of ProbabilityGenerator
should consider for arguments like chromosome rank, population stats etc. to enable interchangeable
probability generation by the same AdaptiveGeneticalgorithm class.

Removed Components: None

New Components: AdaptiveGeneticAlgorithm, ProbabilityGenerator, ConstantProbabilityGenerator, LinearAdaptiveProbabilityGenerator, TimeVaryingLinearAdaptiveProbabilityGenerator

Affected components: None

 



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