Improved opposition-based particle swarm optimization algorithm for global optimization

• Main Authors: Nafees Ul Hassan, Waqas Haider Bangyal, M. Sadiq Ali Khan, Kashif Nisar, Ag. Asri Ag. Ibrahim, Danda B. Rawat
• Format: Article
• Language: English; English
• Published: MDPI AG 2021
• Subjects: QC1-75 General
• Online Access: https://eprints.ums.edu.my/id/eprint/31852/1/Improved%20opposition-based%20particle%20swarm%20optimization%20algorithm%20for%20global%20optimization.ABSTRACT.pdf; https://eprints.ums.edu.my/id/eprint/31852/2/Improved%20opposition-based%20particle%20swarm%20optimization%20algorithm%20for%20global%20optimization.pdf; https://eprints.ums.edu.my/id/eprint/31852/; https://www.mdpi.com/2073-8994/13/12/2280; https://doi.org/10.3390/sym13122280
• Institution: Universiti Malaysia Sabah

Particle Swarm Optimization (PSO) has been widely used to solve various types of optimization problems. An efficient algorithm must have symmetry of information between participating entities. Enhancing algorithm efficiency relative to the symmetric concept is a critical challenge in the field of in...