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Modified artificial bee colony algorithm for solving economic dispatch problem


Article Information

Title: Modified artificial bee colony algorithm for solving economic dispatch problem

Authors: R. Murugan, M. R. Mohan

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2012

Volume: 7

Issue: 10

Language: English

Categories

Abstract

A Modified Artificial Bee Colony (ABC) algorithm for Economic Dispatch (ED) problem has been proposed. The Artificial Bee Colony (ABC) algorithm which is inspired by the foraging behavior of honey bee swarm gives a solution procedure for solving economic dispatch problem. It provides solution more effective than Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO). However, ABC is good at exploration but poor at exploitation; its convergence speed is also an issue in some cases. To overcome this deficiency, this paper proposes a Modified ABC algorithm (MABC). The performance of the proposed algorithm (MABC) is applied to and tested on IEEE- 6 unit and IEEE- 13 unit systems. The results of the proposed algorithm are compared with that obtained by the basic ABC algorithm, lambda - iteration method to prove the validity and effectiveness of the proposed algorithm.


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