A modified roach infestation optimization

Swarm intelligence algorithms are candidate solutions to complex problems. This paper proposes a modified roach infestation optimization (MRIO) algorithm that is absolutely tied to social cockroach behaviours. MRIO improves the performance of the existing roach infestation optimization (RIO) using partial differential equation, crossover and mutation methods. The existing RIO models, made up of three components is modified and two new components are added. Simulation studies were conducted on the proposed algorithm with established benchmarks, the obtained result were compared with the results of the existing roach infestation optimization and hungry roach infestation optimization. The comparison results clearly show that the proposed algorithm outperforms the existing algorithms; and finds global optima of multi-dimensional functions.