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.
All posts
Applications
Data Envelopment Analysis (DEA) in MATLAB
Compare DEA implementations in MATLAB with CCR, input- and output-oriented BCC, and the package-specific ratio reported by its Additive routine.
Applications
Economic Dispatching using PSO and Nested PSO
Study economic dispatch in MATLAB with PSO and nested PSO, generator limits, prohibited zones, transmission losses, and plant-selection costs.
Applications
Classic and Intelligent Portfolio Optimization in MATLAB
Explore portfolio optimization in MATLAB with mean-variance, MAD, and CVaR models, plus PSO, ICA, NSGA-II, and SPEA2 implementations.
Applications
Optimal Inventory Control using PSO in MATLAB
Plan integer order quantities in MATLAB with PSO or Firefly search, inventory balances, purchasing and holding costs, and storage-capacity penalties.
Applications
p-Hub Location Allocation Problem in MATLAB
Model hub location and allocation in MATLAB with PSO, discounted inter-hub transport, opening costs, and a variable number of open hubs.
Applications
Facility Layout Design using PSO in MATLAB
Design a facility layout in MATLAB with PSO, block positions and rotations, material-flow costs, clearance gaps, and overlap penalties.
Applications
Capacitated Vehicle Routing Problem (VRP) Using Simulated Annealing in MATLAB
Solve a capacitated vehicle routing example in MATLAB with simulated annealing, route balancing, capacity penalties, and ready-made models.
Applications
Parallel Machine Scheduling using Simulated Annealing
Schedule jobs on unrelated parallel machines in MATLAB with simulated annealing, sequence-dependent setup times, and makespan minimization.
Applications
Bin Packing Problem using GA, PSO, FA, and IWO
Solve bin packing in MATLAB with GA, PSO, Firefly, or Invasive Weed Optimization, using a shared separator encoding and capacity penalties.
Applications
Quadratic Assignment Problem (QAP) Using GA, PSO and FA in MATLAB
Solve a quadratic assignment example in MATLAB with GA, PSO, or Firefly search, including permutation encoding and weighted facility-location costs.
Fuzzy Systems
Time-Series Prediction using ANFIS in MATLAB
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.
Machine Learning
Time-Series Prediction using GMDH in MATLAB
Predict a time series with GMDH in MATLAB using lagged inputs, polynomial neurons, validation-based selection, and a global ice-volume example.
Fuzzy Systems
Evolutionary ANFIS Training in MATLAB
Train ANFIS parameters in MATLAB with GA or PSO, using multiplier encoding, a training-RMSE objective, and a nonlinear-regression example.
Metaheuristics
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.
Fuzzy Systems
Fuzzy PID Controller in MATLAB and Simulink
Simulate fuzzy PID gain scheduling in MATLAB and Simulink with a two-input rule base, variable gains, and three plant examples.
Machine Learning
Feature Selection using Metaheuristics and EAs
Select features for neural-network regression in MATLAB with GA, ACO, SA, PSO, or NSGA-II, including fixed-size and multi-objective formulations.
Fuzzy Systems
Nonlinear Regression using ANFIS
Model nonlinear regression with ANFIS in MATLAB, including fuzzy rules, hybrid training, FIS generation methods, and an engine-data example.
Metaheuristics
Bees Algorithm (BeA) in MATLAB
Compare standard and probabilistic Bees Algorithms in MATLAB, with local recruitment, global scouting, shrinking neighborhoods, and a Sphere example.
Machine Learning
Group Method of Data Handling (GMDH) in MATLAB
Build a polynomial GMDH network in MATLAB with pairwise quadratic neurons, least-squares fitting, validation-based selection, and a regression example.
Metaheuristics
Firefly Algorithm (FA) in MATLAB
Run the Firefly Algorithm in MATLAB with distance-based attraction, shrinking random steps, bound handling, and benchmark functions.
Machine Learning
DBSCAN Clustering in MATLAB
Implement DBSCAN in MATLAB with core, border, and noise points, two clustering parameters, and an example with irregularly shaped clusters.
Metaheuristics
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.
Metaheuristics
Imperialist Competitive Algorithm (ICA) in MATLAB
Explore the Imperialist Competitive Algorithm in MATLAB with assimilation, revolution, competition, and a bounded Sphere test problem.