Particle Swarm Optimization
Population-based optimization inspired by flocking birds — great for continuous optimization problems.
ExploreAnt Colony Optimization
Probabilistic technique for combinatorial optimization, often used in routing and scheduling problems.
ExploreBat Algorithm
Nature-inspired metaheuristic using echolocation-based search strategies for efficient exploration.
ExploreGrey Wolf Optimizer
Social hierarchy and hunting mechanism inspired algorithm suitable for global optimization tasks.
ExploreTimetable Scheduling Algorithm
Apply GA and hybrid approaches to create optimized timetables for universities and institutions.
ExploreStock Market Prediction
Combine GA for feature selection and ML models for time-series forecasting and financial analysis.
ExploreWhat You Will Learn
- Implement optimization problems using GA in MATLAB.
- Understand nature-inspired metaheuristic algorithms and their parameters.
- Apply GA in scheduling, robotics and AI systems.
- Evaluate algorithm performance with MATLAB toolboxes and visualization.
Frequently Asked Questions
Basic MATLAB knowledge helps, but our packages include code, documentation and walkthroughs
so you can learn while you use the solution.
Common toolboxes include the Global Optimization Toolbox, Optimization Toolbox and Signal
Processing / Statistics toolboxes depending on the project.