A Modified Artificial Bee Colony Algorithm with Firefly Algorithm Strategy for Continuous Optimization Problems
Artificial Bee Colony (ABC) algorithm is one of the efficient nature-inspired optimization algorithms for solving continuous problems. It has no sensitive control parameters and has been shown to be competitive with other well-known algorithms. However, the slow convergence, premature convergence, a...
Saved in:
Main Authors: | Amnat Panniem, Pikul Puphasuk |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2018-01-01
|
Series: | Journal of Applied Mathematics |
Online Access: | http://dx.doi.org/10.1155/2018/1237823 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Solving Multiobjective Optimization Problems Using Artificial Bee Colony Algorithm
by: Wenping Zou, et al.
Published: (2011-01-01) -
Artificial Bee Colony Algorithm for Solving Optimal Power Flow Problem
by: Luong Le Dinh, et al.
Published: (2013-01-01) -
A Multistrategy Optimization Improved Artificial Bee Colony Algorithm
by: Wen Liu
Published: (2014-01-01) -
Enhancing feature selection for multi-pose facial expression recognition using a hybrid of quantum inspired firefly algorithm and artificial bee colony algorithm
by: Mu Panliang, et al.
Published: (2025-02-01) -
Application of Artificial Bee Colony Algorithm to Portfolio Adjustment Problem with Transaction Costs
by: Wei Chen, et al.
Published: (2014-01-01)