Particle Swarm Optimization using ε constraint-handling method developed in Python

This research work aims at implementing a swarm intelligence based approach for solving complex constrained optimization tasks. The ε Particle Swarm Optimization (ε PSO) is selected as the employed global optimizer. This optimization method is developed in Python to facilitate its implementations. The newly developed program has been tested with two basic design problems in civil engineering.