Binary Particle Swarm Optimization Algorithm

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Resource Overview

Binary Particle Swarm Optimization (PSO) algorithm implementation with main program: swarmpso.m. Contains modular subroutines for swarm initialization, fitness evaluation, and particle position updates in discrete binary space.

Detailed Documentation

Binary Particle Swarm Optimization (BPSO) algorithm implementation with main driver program: swarmpso.m. The modular architecture includes the following core subroutines:

1. Initialization: swarminit.m - Handles population generation and parameter setup for binary vector particles

2. Fitness evaluation function: swarmeval.m - Computes objective function values for binary-coded solutions

3. Particle update function: swarmupdate.m - Implements velocity and position updates using sigmoid transformation for binary states

4. Termination condition check: swarmtermination.m - Monitors stopping criteria including maximum iterations and convergence thresholds

5. Optimal solution output: swarmoutput.m - Formats and returns the best solution found during optimization

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