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

20+ years in software, AI, machine learning and EdTech. Creator of Yarpiz.

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

Applications
Compare DEA implementations in MATLAB with CCR, input- and output-oriented BCC, and the package-specific ratio reported by its Additive routine.
Read the post

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

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

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

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

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

Applications
Solve a capacitated vehicle routing example in MATLAB with simulated annealing, route balancing, capacity penalties, and ready-made models.
Read the post

Applications
Schedule jobs on unrelated parallel machines in MATLAB with simulated annealing, sequence-dependent setup times, and makespan minimization.
Read the post

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

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

Fuzzy Systems
Build a lagged time-series predictor with ANFIS in MATLAB, using five delays, a global ice-volume example, and a split that preserves stored order.
Read the post

Machine Learning
Predict a time series with GMDH in MATLAB using lagged inputs, polynomial neurons, validation-based selection, and a global ice-volume example.
Read the post

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

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

Fuzzy Systems
Simulate fuzzy PID gain scheduling in MATLAB and Simulink with a two-input rule base, variable gains, and three plant examples.
Read the post

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.
Read the post

Fuzzy Systems
Model nonlinear regression with ANFIS in MATLAB, including fuzzy rules, hybrid training, FIS generation methods, and an engine-data example.
Read the post

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

Machine Learning
Build a polynomial GMDH network in MATLAB with pairwise quadratic neurons, least-squares fitting, validation-based selection, and a regression example.
Read the post

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

Machine Learning
Implement DBSCAN in MATLAB with core, border, and noise points, two clustering parameters, and an example with irregularly shaped clusters.
Read the post

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

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