Adaptive Balance Factor in Particle Swarm Optimization

• Published in: Proceedings of Sixth International Conference on Soft Computing for Problem Solving Vol. 546; pp. 12 - 21
• Main Authors: Sharma, Siddhi Kumari, Sharma, R. S.
• Format: Book Chapter
• Language: English
• Published: Singapore Springer 2017; Springer Singapore
• Series: Advances in Intelligent Systems and Computing
• Subjects: Acceleration coefficients; Artificial intelligence; Imaging systems & technology; Meta-heuristic optimization techniques; Nature inspired algorithm; Particle swarm optimization algorithm; Swarm intelligence

Particle Swarm Optimization (PSO) is a refined optimization method, that has drawn interest of researchers in different areas because of its simplicity and efficiency. In standard PSO, particles roam over the search area with the help of two accelerating parameters. The proposed algorithm is tested...