Title :
A kind of ant colony algorithm for function optimization
Author :
Xiong, Wei-qing ; Wei, Ping
Author_Institution :
Coll. of Inf. Sci. & Eng., Ningbo Univ., China
Abstract :
The paper introduced a coding and selectional operation based on the genetic algorithm through recognizing the standard ant colony algorithm, and improve the pheromone for general function optimization. The algorithm was proved to be efficient by several function solutions.
Keywords :
encoding; genetic algorithms; graph theory; probability; search problems; travelling salesman problems; ant colony algorithm; binary system coding; directional graph; function optimization; genetic algorithm; probability; search problem; traveling salesman problem; Ant colony optimization; Cities and towns; Concrete; Concurrent computing; Cybernetics; Educational institutions; Genetic algorithms; Information science; Machine learning; Traveling salesman problems;
Conference_Titel :
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7508-4
DOI :
10.1109/ICMLC.2002.1176818
