Ant Colony Optimization (ACO) is a paradigm for designing metaheuristic algorithms for combinatorial optimization problems. The first algorithm which can be classified within this framework was presented in 1991 [21, 13] and, since then, many diverse variants of the basic principle have been reported in the literature. The essential trait of ACO algorithms is the combination of a priori information about the structure of a promising solution with a posteriori information about the structure of previously obtained good solutions.

Filename	Size	Update
ant_tour.m	1063	2011-05-02
calculate_cost.m	752	2011-05-02
myaco.m	4562	2017-12-17
update_the_trace.m	743	2011-05-02

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