Solve the film-copy deliverer problem using ant colony system

Author

Hao, Zhi-Feng ; Han Huang ; Yang, Xiao-Wei ; Liang, Yan-Chun

Author_Institution

Dept. of Appl. Math., South China Univ. of Technol., Guangzhou, China

Volume

4

fYear

2004

fDate

26-29 Aug. 2004

Firstpage

2500

Abstract

The film-copy deliverer problem (FDP) was presented in 1993. Since then, there has been two main algorithms to solve it: in the first algorithm, one transforms FDP into TSP and then solves it; in the second one uses a special genetic algorithm established by Cheng, R.W. & Gen, M. in 1995. In this paper, the limitations of these two algorithms are firstly analyzed, such as the dimensional increase and the local optimization, etc. And then, a novel heuristic algorithm based on ant colony system (ACS) is presented to solve the FDP, in which some new strategies such as adding new parameters and killing artificial ants are introduced. A randomly generated FDP is given. The experimental results show that the proposed algorithm is effective for solving FDP.

Keywords

artificial life; cooperative systems; genetic algorithms; ant colony system; artificial ant; film-copy deliverer problem; genetic algorithm; heuristic algorithm; local optimization; Algorithm design and analysis; Ant colony optimization; Computer science; Educational institutions; Genetic algorithms; Genetic mutations; Heuristic algorithms; Mathematics; Motion pictures; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on

Print_ISBN

0-7803-8403-2

Type

conf

DOI

10.1109/ICMLC.2004.1382224

Filename

1382224