Constrained optimization using swarm intelligence integrated with Deb’s feasibility rules developed in Python
Constrained optimization using swarm intelligence integrated with Deb’s feasibility rules developed in Python
The study Constrained optimization using swarm intelligence integrated with Deb’s feasibility rules developed in Python utilizes Particle Swarm Optimization (PSO) and Deb’s feasibility rules to construct a method for constrained optimization named as frPSO. PSO is a capable swarm intelligence based metaheuristic and Deb’s feasibility rules is an effective constraint-handling method.