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

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

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...

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Bibliographic Details
Main Authors: Salih, Sinan Q., Alsewari, Abdulrahman A., Al-Khateeb, Bellal, Mohamad Fadli, Zolkipli
Format: Book Chapter
Language:English
Published: Springer International Publishing 2019
Subjects:
Q Science (General)
T Technology (General)
Online Access:http://umpir.ump.edu.my/id/eprint/22271/
http://umpir.ump.edu.my/id/eprint/22271/1/Novel%20Multi-Swarm%20Approach%20for%20Balancing%20Exploration1.pdf

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