title: New enhanced artificial bee colony (JA-ABC5) algorithm with application for reactive power optimization.
abstract: The standard artificial bee colony (ABC) algorithm involves exploration and exploitation processes which need to be balanced for enhanced performance. This paper proposes a new modified ABC algorithm named JA-ABC5 to enhance convergence speed and improve the ability to reach the global optimum by balancing exploration and exploitation processes. New stages have been proposed at the earlier stages of the algorithm to increase the exploitation process. Besides that, modified mutation equations have also been introduced in the employed and onlooker-bees phases to balance the two processes. The performance of JA-ABC5 has been analyzed on 27 commonly used benchmark functions and tested to optimize the reactive power optimization problem. The performance results have clearly shown that the newly proposed algorithm has outperformed other compared algorithms in terms of convergence speed and global optimum achievement.
authors: School of Electrical & Electronic Engineering, Universiti Sains Malaysia, 14300 Nibong Tebal, Penang, Malaysia.
authors: Noorazliza
authors: 0000-0002-9580-0427
authors: N
authors: Sulaiman
authors: School of Electrical & Electronic Engineering, Universiti Sains Malaysia, 14300 Nibong Tebal, Penang, Malaysia.
authors: Junita
authors: 0000-0003-3447-6050
authors: J
authors: Mohamad-Saleh
authors: College of Engineering, King Saud University, Muzahmyiah Campus, Riyadh 11451, Saudi Arabia.
authors: Abdul Ghani
authors: 0000-0002-7809-126X
authors: AG
authors: Abro
mesh_terms: D000465:Algorithms; D000818:Animals; D001185:Artificial Intelligence / Q000639:trends; D001516:Bees; D019985:Benchmarking / Q000379:methods* / Q000639:trends; D006801:Humans