Path: Top -> Journal -> Telkomnika -> 2015 -> Vol 13, No 3: September
Application of Ant Colony Algorithm in Multi-objective Optimization Problems
Application of Ant Colony Algorithm in Multi-objective Optimization Problems
Journal from gdlhub / 2016-11-17 04:48:32By : Juan Li, Xianghong Tian, Telkomnika
Created : 2015-09-01, with 1 files
Keyword : ant colony algorithm, multi-object ive optimization, pareto optimal set
Url : http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/1806
In actual application and scientific research, multi-objective optimization is an extremely important research subject. In reality, many issues are related to the simultaneous optimization under multi-objective conditions. The research subject of multi-objective optimization is getting increasing attention. In order to better solve some nonlinear, restricted complex multi-objective optimization problems, based on the current studies of multi-objective optimization and evolutionary algorithm, this paper applies the ant colony algorithm to multi-objective optimization, and proves through experiments that multi-objective ant colony algorithm can converge the real Pareto front of the standard test function more quickly and accurately, and can also maintain the distributivity of the better solution.
Description Alternative :In actual application and scientific research, multi-objective optimization is an extremely important research subject. In reality, many issues are related to the simultaneous optimization under multi-objective conditions. The research subject of multi-objective optimization is getting increasing attention. In order to better solve some nonlinear, restricted complex multi-objective optimization problems, based on the current studies of multi-objective optimization and evolutionary algorithm, this paper applies the ant colony algorithm to multi-objective optimization, and proves through experiments that multi-objective ant colony algorithm can converge the real Pareto front of the standard test function more quickly and accurately, and can also maintain the distributivity of the better solution.
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| Publisher ID | gdlhub |
| Organization | Telkomnika |
| Contact Name | Herti Yani, S.Kom |
| Address | Jln. Jenderal Sudirman |
| City | Jambi |
| Region | Jambi |
| Country | Indonesia |
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| Fax | 0741-35093 |
| Administrator E-mail | elibrarystikom@gmail.com |
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