Enhanced parallel salp swarm algorithm based on Taguchi method for application in the heatless combined cooling‐power system

Salp swarm algorithm (SSA) is an excellent meta-heuristic algorithm, which has been widely used in the engineering field. However, there still room for improvement terms of convergence rate and solution accuracy. Therefore, this paper proposes enhanced parallel salp based on Taguchi method (PTSSA). The trick to split initial population uniformly into several subgroups then exchange information among after a fixed number iterations, speeds up convergence. Communication strategies are important component parallelism techniques. industry optimizing product process conditions. In paper, adopted parallelization technique as novel communication strategy, improves robustness accuracy solution. proposed was also tested under CEC2013 test suite. Experimental results show that PTSSA more competitive than some common algorithms. addition, applied optimize operation heatless combined cooling-power system. Simulation optimized provided by stable efficient operating cost reduction.