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Search results for "module:Algorithm::Evolutionary::Fitness::MMDP"

Algorithm::Evolutionary::Fitness::MMDP - Massively Multimodal Deceptive Problem River stage one • 3 direct dependents • 4 total dependents

Massively Multimodal Deceptive Problem, tough for evolutionary algorithms....

JMERELO/Algorithm-Evolutionary-0.82.1 - 29 Mar 2021 11:30:17 UTC

Algorithm::Evolutionary::Fitness::MMDP - Massively Multimodal Deceptive Problem River stage zero No dependents

Massively Multimodal Deceptive Problem, tough for evolutionary algorithms....

JMERELO/Algorithm-Evolutionary-Fitness-v3.102 - 22 Mar 2016 19:19:48 UTC

Algorithm::Evolutionary::Fitness - Base class for fitness functions River stage zero No dependents

This module includes functionality that should be common to all fitness functions. Or at least it would be nice to have it in common. It counts the number of evaluations and includes a common API for caching evaluations....

JMERELO/Algorithm-Evolutionary-Fitness-v3.102 - 22 Mar 2016 19:19:48 UTC

Algorithm::Evolutionary::Fitness::Base - Base class for fitness functions River stage one • 3 direct dependents • 4 total dependents

This module includes functionality that should be common to all fitness. Or at least it would be nice to have it in common. It counts the number of evaluations and includes a common API for caching evaluations....

JMERELO/Algorithm-Evolutionary-0.82.1 - 29 Mar 2021 11:30:17 UTC

Algorithm::Evolutionary::Run - Class for setting up an experiment with algorithms and population River stage one • 3 direct dependents • 4 total dependents

This is a no-fuss class to have everything needed to run an algorithm in a single place, although for the time being it's reduced to fitness functions in the A::E::F namespace, and binary strings. Mostly for demo purposes, but can be an example of cl...

JMERELO/Algorithm-Evolutionary-0.82.1 - 29 Mar 2021 11:30:17 UTC

Algorithm::Evolutionary::Op::Novelty_Mutation - Mutation guaranteeing new individual is not in the population River stage one • 3 direct dependents • 4 total dependents

Attempts all possible mutations in order, until a "novelty" individual is found. Generated individuals are checked against the population hash, and discarded if they are already in the population....

JMERELO/Algorithm-Evolutionary-0.82.1 - 29 Mar 2021 11:30:17 UTC
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