
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.
20 results for “Particle Swarm Optimization”

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

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

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

Metaheuristics
Learn PSO in three videos, from the update equations to a MATLAB implementation with position bounds, velocity limits, and constriction coefficients.

Applications
Study economic dispatch in MATLAB with PSO and nested PSO, generator limits, prohibited zones, transmission losses, and plant-selection costs.

Fuzzy Systems
Train ANFIS parameters in MATLAB with GA or PSO, using multiplier encoding, a training-RMSE objective, and a nonlinear-regression example.

Applications
Model hub location and allocation in MATLAB with PSO, discounted inter-hub transport, opening costs, and a variable number of open hubs.

Applications
Plan a 2D robot path in MATLAB with PSO, spline handle points, circular obstacles, sampled path lengths, and obstacle-violation penalties.

Applications
Plan integer order quantities in MATLAB with PSO or Firefly search, inventory balances, purchasing and holding costs, and storage-capacity penalties.

Machine Learning
Select features for neural-network regression in MATLAB with GA, ACO, SA, PSO, or NSGA-II, including fixed-size and multi-objective formulations.

Applications
Design a facility layout in MATLAB with PSO, block positions and rotations, material-flow costs, clearance gaps, and overlap penalties.

Applications
Solve a quadratic assignment example in MATLAB with GA, PSO, or Firefly search, including permutation encoding and weighted facility-location costs.

Applications
Solve bin packing in MATLAB with GA, PSO, Firefly, or Invasive Weed Optimization, using a shared separator encoding and capacity penalties.

Applications
Study graph encoding in MATLAB with PSO, ICA, and Firefly search for a minimum spanning tree, and compare the result with an exact baseline.

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

Machine Learning
Cluster data in MATLAB with GA, PSO, or Differential Evolution, using fixed centers or automatic cluster selection through validity indices.

Applications
Explore portfolio optimization in MATLAB with mean-variance, MAD, and CVaR models, plus PSO, ICA, NSGA-II, and SPEA2 implementations.

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

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

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