title: Dynamic population artificial bee colony algorithm for multi-objective optimal power flow.
abstract: This paper proposes a novel artificial bee colony algorithm with dynamic population (ABC-DP), which synergizes the idea of extended life-cycle evolving model to balance the exploration and exploitation tradeoff. The proposed ABC-DP is a more bee-colony-realistic model that the bee can reproduce and die dynamically throughout the foraging process and population size varies as the algorithm runs. ABC-DP is then used for solving the optimal power flow (OPF) problem in power systems that considers the cost, loss, and emission impacts as the objective functions. The 30-bus IEEE test system is presented to illustrate the application of the proposed algorithm. The simulation results, which are also compared to nondominated sorting genetic algorithm II (NSGAII) and multi-objective ABC (MOABC), are presented to illustrate the effectiveness and robustness of the proposed method.
authors.affiliation: School of Architecture and Art Design, Hebei University of Technology, Tianjin 300130, China.
authors.forename: Man
authors.initials: M
authors.lastname: Ding
authors.affiliation: School of Computer Science and Software, Tianjin Polytechnic University, Tianjin 300387, China.
authors.forename: Hanning
authors.initials: H
authors.lastname: Chen
authors.affiliation: Beijing Shenzhou Aerospace Software Technology Co. Ltd., Beijing 110000, China.
authors.forename: Na
authors.initials: N
authors.lastname: Lin
authors.affiliation: School of Computer Science and Software, Tianjin Polytechnic University, Tianjin 300387, China.
authors.forename: Shikai
authors.initials: S
authors.lastname: Jing
authors.affiliation: School of Computer Science and Software, Tianjin Polytechnic University, Tianjin 300387, China.
authors.forename: Fang
authors.initials: F
authors.lastname: Liu
authors.affiliation: School of Computer Science and Software, Tianjin Polytechnic University, Tianjin 300387, China.
authors.forename: Xiaodan
authors.initials: X
authors.lastname: Liang
authors.affiliation: College of Information and Technology, Jilin Normal University, Siping 136000, China.
authors.forename: Wei
authors.initials: W
authors.lastname: Liu
keywords: Artificial bee colony algorithm; Life-cycle evolving model; Multi-objective optimization; Optimal power flow