An Improved Ant Colony Algorithm for Continuous Optimization Based on Levy Flight
Ant colony optimization (ACO) is proposed on the study of the foraging behavior of ants on the basis of the proposed and widely used in the optimization. However, it has some shortcoming such as longer time, hardly implement and local optimal etc. For overcoming the above shortcoming, combined with...
Main Authors: | H.Z. Wang, C.G. Liang |
---|---|
Format: | Article |
Language: | English |
Published: |
AIDIC Servizi S.r.l.
2016-08-01
|
Series: | Chemical Engineering Transactions |
Online Access: | https://www.cetjournal.it/index.php/cet/article/view/3946 |
Similar Items
-
A Novel Ant Colony Optimization Algorithm With Levy Flight
by: Yahui Liu, et al.
Published: (2020-01-01) -
Levy Flights in Metaheuristics Optimization Algorithms – A Review
by: Mridul Chawla, et al.
Published: (2018-11-01) -
Ant colony engineering for flight planning optimization
by: Lim, Royston Yong Han.
Published: (2012) -
On Optimal Tempered Lévy Flight Foraging
by: Yuquan Chen, et al.
Published: (2018-10-01) -
Levy flight algorithm for optimization problems - a literature review
by: Kamaruzaman, Anis Farhan, et al.
Published: (2013)