Novel Multi-swarm Approach for Balancing Exploration and Exploitation in Particle Swarm Optimization

• Main Authors: Salih, Sinan Q., Alsewari, Abdulrahman A., Al-Khateeb, Bellal, Mohamad Fadli, Zolkipli
• Format: Book Section
• Language: English
• Published: Springer International Publishing 2019
• Subjects: Q Science (General); T Technology (General)
• Online Access: http://umpir.ump.edu.my/id/eprint/22271/1/Novel%20Multi-Swarm%20Approach%20for%20Balancing%20Exploration1.pdf; http://umpir.ump.edu.my/id/eprint/22271/; https://doi.org/10.1007/978-3-319-99007-1_19; https://doi.org/10.1007/978-3-319-99007-1_19
• Institution: Universiti Malaysia Pahang

Several metaheuristic algorithms and improvements to the existing ones have been presented over the years. Most of these algorithms were inspired either by nature or the behavior of certain swarms, such as birds, ants, bees, or even bats. These algorithms have two major components, which are explora...