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Multi-Objective Ant Colony Optimization Algorithm Based on Discrete Variables
2018
IOP Conference Series: Earth and Environment
Based on multi-objective optimization of discrete variable, a new multi-objective ant colony optimization algorithm based on discrete variable has been proposed in this paper. The improved multi-objective ant colony algorithm established two databases on the basis of P-ACO algorithm, including sets of feasible solutions and non-feasible solutions, and "the repeated solutions" was replaced with "the special solutions" to acquire the Pareto optimal front-end of the multi-objective problems. This
doi:10.1088/1755-1315/189/4/042031
fatcat:62jpzsspzjhkph2avhjmu27wmy