CHAC. A MOACO Algorithm for Computation of Bi-Criteria Military Unit Path in the Battlefield

Abstract

In this paper we propose a Multi-Objective Ant Colony Optimization (MOACO) algorithm called CHAC, which has been designed to solve the problem of finding the path on a map (corresponding to a simulated battlefield) that minimizes resources while maximizing safety. CHAC has been tested with two different state transition rules: an aggregative function that… (More)
DOI: 10.1002/int.20362

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Cite this paper

@article{Garca2009CHACAM, title={CHAC. A MOACO Algorithm for Computation of Bi-Criteria Military Unit Path in the Battlefield}, author={Antonio Mora Garc{\'i}a and Juan Juli{\'a}n Merelo Guerv{\'o}s and Cristian Mill{\'a}n and Juan Torrecillas and Juan Luis Jim{\'e}nez Laredo}, journal={Int. J. Intell. Syst.}, year={2009}, volume={24}, pages={818-843} }