Recently, a set-based particle swarm optimisation (SBPSO) algorithm was developed to find optimal polynomials for univariate polynomial approximation problems. This SBPSO algorithm employed a computational costly adaptive coordinate descent (ACD) ...

The citrate (citric acid, CA) coated ferrofluids with great magneto-optical retardance can meet the high magnetic responsive demand, especially in widely potential biomedical applications such as hyperthermia and magnetic resonance imaging. In this ...

This paper proposes a multi-guide particle swarm optimization (MGPSO) algorithm which does not require tuning of its control parameters. Control parameter values are randomly sampled to satisfy theoretically derived stability conditions, eliminating ...

Computational intelligence approaches to data clustering have been successful in producing compact and well-separated clusters. In particular, particle swarm optimization (PSO) is deemed an effective approach to data clustering. This paper develops and ...

The whale optimization algorithm is a metaheuristic inspired by the hunting strategy of humpback whales. This paper proposes a new discrete spiral whale optimization algorithm (DSWOA) to solve the traveling salesperson problem (TSP). Our approach uses ...

Hybrid multi-objective evolutionary algorithms have recently become a hot topic in the domain of metaheuristics. Introducing new algorithms that inherit other algorithms’ operators and structures can improve the performance of the algorithm. Here, we ...