Now showing items 1-3 of 3
Empirical study on the effect of population size on MAX-MIN ant system in dynamic environments
(IEEE Press, 2016-07)
In this paper, the effect of the population size on the performance of the MAX -MIN ant system for dynamic optimization problems (DOPs) is investigated. DOPs are generated with the dynamic benchmark generator for ...
Ant colony optimization with local search for dynamic travelling salesman problems
For a dynamic travelling salesman problem, the weights (or travelling times) between two cities (or nodes) may be subject to changes. Ant colony optimization (ACO) algorithms have proved to be powerful methods to tackle ...
Direct memory schemes for population-based incremental learning in cyclically changing environments
The population-based incremental learning (PBIL) algorithm is a combination of evolutionary optimization and competitive learning. The integration of PBIL with associative memory schemes has been successfully applied to ...