Fuzzy Multiobjective Optimal Power Flow Based on Modified Artificial Bee Colony Algorithm
This paper presents a modified artificial bee colony (MABC) algorithm to solve optimal power flow (OPF) problem. In the proposed MABC algorithm, the searching operation for new food source of artificial bee colony (ABC) algorithm is replaced with mutation and crossover operation of differential evol...
Main Authors: | Xuanhu He, Wei Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2014-01-01
|
Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2014/961069 |
Similar Items
-
An Improved Artificial Bee Colony Algorithm and Its Application to Multi-Objective Optimal Power Flow
by: Xuanhu He, et al.
Published: (2015-03-01) -
Artificial Bee Colony Algorithm Based on K-Means Clustering for Multiobjective Optimal Power Flow Problem
by: Liling Sun, et al.
Published: (2015-01-01) -
Solving Multiobjective Optimization Problems Using Artificial Bee Colony Algorithm
by: Wenping Zou, et al.
Published: (2011-01-01) -
An Optimization Framework of Multiobjective Artificial Bee Colony Algorithm Based on the MOEA Framework
by: Jiuyuan Huo, et al.
Published: (2018-01-01) -
Artificial Bee Colony Algorithm for Solving Optimal Power Flow Problem
by: Luong Le Dinh, et al.
Published: (2013-01-01)