Metaheuristics
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.
All posts
Metaheuristics
Biogeography-Based Optimization (BBO) in MATLAB
Implement biogeography-based optimization in MATLAB with blended migration, mutation, elitism, and a bounded Sphere test problem.
Metaheuristics
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.
Metaheuristics
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.
Metaheuristics
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.
Machine Learning
FP-Growth Association Rule Mining in MATLAB
Explore an FP-Tree-based association-rule mining example in MATLAB, with frequent itemsets, support, confidence, lift, and a plotted tree.
Multiobjective Optimization
MOEA/D in MATLAB
Implement MOEA/D in MATLAB with Tchebycheff subproblems, weight-vector neighborhoods, crossover, and an archive of trade-off solutions.
Metaheuristics
Harmony Search in MATLAB
Implement Harmony Search in MATLAB with memory sampling, pitch adjustment, a shrinking bandwidth, and a bounded Sphere test problem.
Machine Learning
Apriori Association Rule Mining in MATLAB
Mine association rules in MATLAB with Apriori, minimum support and confidence, and reported support, confidence, and lift for each rule.
Multiobjective Optimization
PESA-II in MATLAB
Implement PESA-II in MATLAB with grid-based archive selection, crossover, mutation, and a two-objective optimization example.
Metaheuristics
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.
Metaheuristics
Shuffled Complex Evolution in MATLAB
Implement Shuffled Complex Evolution in MATLAB with ranked complexes, competitive local search, periodic shuffling, and a Sphere test problem.
Machine Learning
Neural Gas and GNG Networks in MATLAB
Train Neural Gas and Growing Neural Gas networks in MATLAB for prototype learning, clustering, and graph representations of data topology.
Multiobjective Optimization
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.
Metaheuristics
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.
Metaheuristics
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.
Machine Learning
Evolutionary Data Clustering in MATLAB
Cluster data in MATLAB with GA, PSO, or Differential Evolution, using fixed centers or automatic cluster selection through validity indices.
Multiobjective Optimization
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.
Multiobjective Optimization
NSGA-II in MATLAB
Implement NSGA-II in MATLAB with non-dominated sorting, crowding distance, genetic operators, and two-objective test problems.
Metaheuristics
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.
Metaheuristics
Particle Swarm Optimization in MATLAB
Implement particle swarm optimization in MATLAB with velocity updates, bounds, inertia damping, constriction coefficients, and a Sphere test problem.
Metaheuristics
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.