Hybrid JS and PSO Algorithm

A novel hybrid optimization algorithm based on JSO and PSO named Hybrid Jellyfish Search and Particle Swarm Optimization (HJSPSO)

This is a novel hybrid swarm intelligence-based algorithm called the Hybrid Jellyfish Search Particle Swarm Optimization (HJSPSO). The process of this algorithm is divided into two phases; in each phase, there is an exploration stage (global search) and an exploitation stage (local search). However, the first is the PSO search phase, which has a good exploitation feature, and the second is the JSO search phase, which has a good exploration feature. A time control mechanism has been used to switch between search phases to gain a good balance between exploration and exploitation features. This algorithm is tested on various benchmark test functions and traveling salesman problem, and its results are compared with well-known competitor algorithms. The experimental results reveal the birth of a promising approach for solving optimization problems.