Multi-Objective PSO (MOPSO) in MATLAB

These functions are included the "Random Forest" and the hybrid Random Forest and Multi-Objective Particle Swarm Optimization ("RF_MOPSO") to predict the targets as learning approach and find the optimal parameters of a multi-feature process, respectively. The example of this version is a drilling process prediction and optimization. Instruction…

Finding optimal no of clusters in MOPSO implementation of Wireless Sensor Networks.

Multi-Objective PSO Algorithm

A multi-objective swarm optimizer based on SMPSO that uses CDAS as the primary discriminator instead of Pareto dominance and a secondary selection metric based on shift-based density estimators