Estimation of Distribution Algorithms with Feasibility Conserving Mechanisms for Constrained Continuous Optimization
This repository contains the codes for the algorithms and the obtained data for the research on the constrained Estimation of Distribution Algorithm EDA++.
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Algorithms
- cmaes.m : COVARIANCE MATRIX ADAPTATION EVOLUTIONARY STRATEGY
- geneticalgorithm.m : GENETIC ALGORITHM
- mgd.m : CONSTRAINED ESTIMATION OF DISTRIBUTION ALGORITHM (Mixture of Gaussian Distribution)
- pso.m : PARTICLE SWARM OPTIMIZATION
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InitialPop
Contains initial seeds for comparing the algorithms. Seeds are generated for the benchmark of 13 problems.
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Problems
The benchmark of 13 constrained continuous optimization problems.
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Results
The obtained results for algorithms:
- alg_mgd_lin_det : MGD + Linear Deterministic Method
- alg_mgd_lin_sto : MGD + Linear Stochastic Method
- alg_mgd_bis_det : MGD + Bisection Deterministic Method
- alg_mgd_bis_sto : MGD + Bisection Stochastic Method
- alg_cmaes : CMAES + Resampling Technique
- alg_ga : GA + Penalty Function
- alg_pso : PSO + Penalty Function
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Algorithms
- ALG_BPMAGES : BP-ϵMAg-ES
- ALG_COLSHADE : COLSHADE
- ALG_CORCO : CORCO
- ALG_EDAPP : EDA++
- ALG_ENMODE : EnMODE
- ALG_LSHADE44 : LSHADE44
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CEC2020
CEC 2020 real-world constrained optimization benchmark of 57 constrained continuous optimization problems.
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Solutions
The obtained solutions for each algorithm regarding all problems in the benchmark (6 algorithms, 57 problems, 25 runs).
Abolfazl Shirazi
Basque Center for Applied Mathematics - BCAM | Universidad del Pais Vasco UPV/EHU
Email: ashirazi@bcamath.org