Robust modified ABC variant (JA-ABC5b) for solving economic environmental dispatch (EED)

Abstract

Artificial bee colony (ABC) algorithm has been widely used to solve various optimization problems due to its simplicity and flexibility besides showing outrageous results in comparison to other optimization algorithms. Nevertheless, ABC has been found to suffer from few limitations such as slow convergence rates and premature convergence tendency. With the motivation to overcome the problem, this work proposes a modified ABC variant referred to as JA-ABC5b with the aim of robust and faster convergence. The proposed ABC variant has been compared with the standard ABC and other existing ABC variants on 27 benchmarks functions and to solve economic environmental dispatch (EED) problem. The results have shown that JA-ABC5b has the best performance in comparison to the standard ABC and selected existing ABC variants in terms of convergence speed as well as the global optimum achievement besides exhibiting robust performance in solving complex real-world optimization problem.