1. Krawiec, K., Simons, C., Swan, J., Woodward, J.: Metaheuristic design patterns: new perspectives for larger-scale search architectures. In: Vasant, P., Alparslan-Gok, S.Z., Weber, G. (eds.) Handbook of Research on Emergent Applications of Optimization Algorithms, pp. 1–36. IGI Global, Pennsylvania (2018)
2. Ong, P.; Chin, D.D.V.S.; Ho, C.S.; Ng, C.H.: Metaheuristic approaches for extrusion manufacturing process: utilization of flower pollination algorithm and particle swarm optimization. In: Handbook of Research on Applied Optimization Methodologies in Manufacturing Systems, pp. 43–56. IGI Global, Pennsylvania (2018)
3. Hudaib, A.A.; Fakhouri, H.N.: Supernova optimizer: a novel natural inspired meta-heuristic. Mod. Appl. Sci. 12(1), 32 (2017)
4. Mendes, R.; Kennedy, J.; Neves, J.: The fully imformed particle swarm: Simpler, mabe better. IEEE Trans. Evol. Comput. 8, 204–210. (2004). https://doi.org/10.1109/TEVC.2004.826074
5. Kennedy, J.: Particle swarm optimization. Encyclopedia of machine learning, pp. 760–766. Springer, US (2011)