Implement well known and modern algorithms - Githubissues

GheodeAI / metaheuristic-designer

Framework for designing, testing and evaluating metaheuristic optimization algorithms.

https://metaheuristic-designer.readthedocs.io/en/latest/

MIT License

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Implement well known and modern algorithms #59

Open eugenioLR opened 10 months ago

eugenioLR commented 10 months ago

[x] Random Search
[x] Greedy Search/Hill Climb
[x] Simulated annealing (SA)
[x] Basic Evolution Strategies (ES)
[x] Genetic Algorithm (GA)
[x] Particle Swarm Optimization (PSO)
[x] Differential Evolution (DE)
[x] Estimation of Distribution Algorithm (EDA)
[ ] Covariance Matrix Adaption Evolution Strategies (CMA-ES)
[ ] Iterated Local Search (ILS)
[ ] Taboo search (TS)
[ ] Variable Neighborhood Search (VNS)
[ ] Greedy random adaptative search procedure (GRASP)

eugenioLR commented 10 months ago

This replaces issue #28