Title :
Convergence Analysis for Ant Colony Algorithm
Author_Institution :
Coll. of Sci., Mudanjing Normal Univ., Mudanjing, China
Abstract :
A general method for combinatorial optimization problems heuristically by the Ant System approach is proposed. According to the two different conditions, some convergence analysis for Ant Colony System (ACS) are obtained. The global searching and convergence ability are improved by adaptively changing the lower pheromone bound. It is proved that ACS finds an optimal solution with probability 1.
Keywords :
"Convergence","Heuristic algorithms","Algorithm design and analysis","Ant colony optimization","Simulated annealing","Minimization"
Conference_Titel :
Computational Intelligence and Design (ISCID), 2015 8th International Symposium on
Print_ISBN :
978-1-4673-9586-1
DOI :
10.1109/ISCID.2015.99
