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Genetic Algorithms with Kotlin

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Genetic Algorithms with Kotlin

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General API classes

The API is is located at ga-api directory

  • Gene is marker interface. Elements of the complete solution should implement this interface.

  • A Chromosome is a possible solution of the problem. The fitnessValue indicates how good or bad is the solution.

  • GaParameters are the general parameters of all Genetic Algorithms.

  • Population are a collection of chromosomes sorted by their fitness values.

  • BaseGaProblem is the base of a Genetic Algorithm and implements the following operators:

    • Selection
    • Crossover
    • Mutation
    • Elitism

    Problems must extend this class and implement crossover and mutation operators

Implemented examples

  • Traveling Salesman Problem (TSP) is located at ga-tsp directory
    • Run with:
    $ ./gradlew :ga-tsp:run
  • Knapsack Problem (KP) is located at ga-kp directory
    • Run with:
    $ ./gradlew :ga-kp:run

License

Copyright 2018 Daniel Pedraza-Arcega

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

   http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

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