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Evolutionary Algorithms

Evolutionary algorithms are an optimization method based on biological evolution. This included genetic algorithms, differential evolution, particle swarm optimization, and more.

Here is a table of some of the free libraries I found in my search. There is currently a Java bias in the list.

Library Description Language Notes
EvA2 Comprehensive heuristic optimization framework with emphasis on Evolutionary Algorithms, including simulated annealing, genetic algorithms, particle swarm optimization, cluster-based niching, and supports multi-objective optimization and finding multiple solutions Java Includes GUI and API, recommended
JGAP Genetic Algorithms and Genetic Programming framework Java Lots of documentation, but I had trouble getting good results with it, also has clunky API
JCell Framework for working mainly with cellular genetic algorithms (cGAs), but also it has implemented steady-state GAs, generational GAs, and distributed GAs Java
jMetal Metaheuristic Algorithms in Java: aimed at the development, experimentation, and study of metaheuristics for solving multi-objective optimization problems, includes many algorithms Java
Opt4J Framework currently includes a multi-objective Evolutionary Algorithm, a multi-objective Differential Evolution, a multi-objective Particle Swarm Optimizer, and a single-objective Simulated Annealing Java

Linear Programming

There are many commercial packages, but here is a free option:

  • lp_solve: Mixed Integer Linear Programming (MILP) solver
  • Probably more?

See Also


AD Model Builder

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