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NTIS 바로가기Journal of Korean Society of Industrial and Systems Engineering = 한국산업경영시스템학회지, v.46 no.1, 2023년, pp.15 - 22
이병길 (금오공과대학교 컨설팅대학원) , 전규범 (금오공과대학교 산업공학부) , 이종환 (금오공과대학교 산업공학부)
An Ant Colony Optimization Algorithm(ACO) is one of the frequently used algorithms to solve the Traveling Salesman Problem(TSP). Since the ACO searches for the optimal value by updating the pheromone, it is difficult to consider the distance between the nodes and other variables other than the amoun...
Choi, W.K. and Jeon, H.T., Intelligent path guide system?using fuzzy logic, The Institute of Electronics Engineers?of Korea - Computer and Information, 2008, Vol. 45, No. 3, pp. 68-74.
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Lee, S.H. and Kim, Y.D., Ant colony system for vehicle?routing problem with simultaneous delivery and pick-up?under time windows, Journal of the Korean Institute?of Industrial Engineers, 2009, Vol. 35, No. 2, pp. 160-170.
Lee, S.J. and Han, Y.D., Truss size optimization using?ant colony optimization algorithm, Journal of The?Architectural Institute of Korea Structure & Construction, 2011, Vol. 27, No. 8, pp. 21-28.
Noh, T.W., Oh, H.Y., and Kim, C.K., An light-weight?genetic algorithm based scheme for traveling salesman?problem, Journal of Korea Information Science Society, 2014, Vol. 41, No. 1, pp. 1222-1224.
Park, M.C. and Han, S.Y., Shape optimization using?the ant colony optimization algorithm, Journal of The?Korean Society of Manufacturing Technology Engineers, 2014, pp. 100-100.
Park, S.W., Park, J.W., Kim, D.W., Ohm, W.Y., Lee,?C.H., and Ahn, C.H., A study on the synergy effect?between neuro-fuzzy and genetic algorithms for?non-linear system modeling, The Journal of Korean?Institute of Information Technology, 2013, Vol. 11, No. 1, pp. 9-17.
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