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Yarpiz Evolutionary Algorithms

28 posts, in order

MATLAB and Python implementations of evolutionary algorithms and metaheuristics.

Start with part 1

  1. YPEA: Yarpiz Evolutionary Algorithms

    Define an optimization problem once in MATLAB and solve it with 15 algorithms through YPEA, with shared variable types, settings, and result histories.

    YPEA

  2. Binary and Real-Coded Genetic Algorithms in MATLAB

    Compare binary and real-coded genetic algorithms in MATLAB, including selection, crossover, mutation, sample problems, parameters, and how to run the code.

    YPEA101

  3. Particle Swarm Optimization in MATLAB

    Implement particle swarm optimization in MATLAB with velocity updates, bounds, inertia damping, constriction coefficients, and a Sphere test problem.

    YPEA102

  4. Ant Colony Optimization in MATLAB

    Use ant colony optimization in MATLAB for traveling salesman, quadratic assignment, and binary knapsack examples, with pheromone updates and parameters.

    YPEA103

  5. ACO for Continuous Domains in MATLAB

    Implement ACOR in MATLAB with a ranked solution archive, Gaussian sampling, configurable parameters, and a bounded Sphere test problem.

    YPEA104

  6. Simulated Annealing in MATLAB

    Solve a traveling salesman example in MATLAB with standard and population-based simulated annealing, tour moves, cooling schedules, and convergence plots.

    YPEA105

  7. Real-Coded Simulated Annealing (SA) in MATLAB

    Apply simulated annealing to continuous variables in MATLAB, with Gaussian neighbors, bound handling, cooling, and a Sphere test problem.

    YPEA106

  8. Differential Evolution (DE) in MATLAB

    Implement DE/rand/1/bin in MATLAB with differential mutation, binomial crossover, bound handling, and a Sphere example with configurable parameters.

    YPEA107

  9. CMA-ES (Covariance Matrix Adaptation Evolution Strategy) in MATLAB

    Explore CMA-ES in MATLAB, including Gaussian sampling, covariance and step-size adaptation, benchmark functions, and the implementation parameters.

    YPEA108

  10. Shuffled Frog Leaping Algorithm in MATLAB

    Run the Shuffled Frog Leaping Algorithm in MATLAB with memeplexes, local leaping steps, periodic shuffling, and a bounded Sphere example.

    YPEA109

  11. Shuffled Complex Evolution in MATLAB

    Implement Shuffled Complex Evolution in MATLAB with ranked complexes, competitive local search, periodic shuffling, and a Sphere test problem.

    YPEA110

  12. Teaching-Learning-based Optimization in MATLAB

    Implement teaching-learning-based optimization in MATLAB with teacher and learner phases, bound handling, and a Sphere test problem.

    YPEA111

  13. Firefly Algorithm (FA) in MATLAB

    Run the Firefly Algorithm in MATLAB with distance-based attraction, shrinking random steps, bound handling, and benchmark functions.

    YPEA112

  14. Biogeography-Based Optimization (BBO) in MATLAB

    Implement biogeography-based optimization in MATLAB with blended migration, mutation, elitism, and a bounded Sphere test problem.

    YPEA113

  15. Artificial Bee Colony (ABC) in MATLAB

    Implement Artificial Bee Colony in MATLAB with employed, onlooker, and scout phases, fitness-based selection, and a Sphere example.

    YPEA114

  16. Bees Algorithm (BeA) in MATLAB

    Compare standard and probabilistic Bees Algorithms in MATLAB, with local recruitment, global scouting, shrinking neighborhoods, and a Sphere example.

    YPEA115

  17. Tabu Search (TS) in MATLAB

    Use tabu search in MATLAB for traveling salesman and n-Queens problems, with permutation moves, tabu counters, and visualized solutions.

    YPEA116

  18. Harmony Search in MATLAB

    Implement Harmony Search in MATLAB with memory sampling, pitch adjustment, a shrinking bandwidth, and a bounded Sphere test problem.

    YPEA117

  19. Imperialist Competitive Algorithm (ICA) in MATLAB

    Explore the Imperialist Competitive Algorithm in MATLAB with assimilation, revolution, competition, and a bounded Sphere test problem.

    YPEA118

  20. Invasive Weed Optimization (IWO) in MATLAB

    Implement Invasive Weed Optimization in MATLAB with cost-based seed counts, shrinking Gaussian dispersal, and a bounded Sphere test problem.

    YPEA119

  21. NSGA-II in MATLAB

    Implement NSGA-II in MATLAB with non-dominated sorting, crowding distance, genetic operators, and two-objective test problems.

    YPEA120

  22. Multi-Objective PSO in MATLAB

    Run multi-objective PSO in MATLAB with an external repository, grid-based leader selection, mutation, and a two-objective test problem.

    YPEA121

  23. Strength Pareto Evolutionary Algorithm 2 (SPEA2) in MATLAB

    Implement SPEA2 in MATLAB with strength-based fitness, a nearest-neighbor density measure, an external archive, and multi-objective examples.

    YPEA122

  24. PESA-II in MATLAB

    Implement PESA-II in MATLAB with grid-based archive selection, crossover, mutation, and a two-objective optimization example.

    YPEA123

  25. MOEA/D in MATLAB

    Implement MOEA/D in MATLAB with Tchebycheff subproblems, weight-vector neighborhoods, crossover, and an archive of trade-off solutions.

    YPEA124

  26. Cultural Algorithm (CA) in MATLAB

    Implement a Cultural Algorithm in MATLAB with shared situational and normative knowledge, Gaussian moves, and a bounded Sphere example.

    YPEA125

  27. NSGA-III in MATLAB

    Explore NSGA-III in MATLAB with reference points, objective normalization, association, niching, and a configurable optimization example.

    YPEA126

  28. Particle Swarm Optimization (PSO) in Python

    Run particle swarm optimization in Python with NumPy, a reusable problem dictionary, configurable parameters, and a bounded Sphere example.

    YPEA127