Particle Swarm and EDAs
This is an incremental improvement for optimization researchers, focusing on a specific benchmark function.
The paper tackled optimizing the Schaffer F6 function using Particle Swarm Optimization (PSO), achieving fewer than 4000 function evaluations over 30 runs by exploring variations in topologies and update methods.
The Particle Swarm Optimization (PSO) algorithm is developed for solving the Schaffer F6 function in fewer than 4000 function evaluations on a total of 30 runs. Four variations of the Full Model of Particle Swarm Optimization (PSO) algorithms are presented which consist of combinations of Ring and Star topologies with Synchronous and Asynchronous updates. The Full Model with combinations of Ring and Star topologies in combination with Synchronous and Asynchronous Particle Updates is explored.