比較三種萬用啓發式演算法於TSP問題之探討

Moreover, this chapter also presents the basic of the Taguchi method, artificial neural network, genetic algorithm, particle swarm optimization, soft computing and

This project integrates class storage, order batching and routing to do the best planning, and try to compare the performance of routing policy of the Particle Swarm

(2004), "Waiting Strategies for the Dynamic Pickup and Delivery Problem with Time Window", Transportation Research Part B, Vol. Odoni (1995),"Stochastic and Dynamic

keywords: Ant Colony Optimization, Guided Local Search, Pickup and Delivery Problem with Time Windows, Time Window Partitioning Strategy... 第三章 PDPTW 轉換

This paper formulates the above situation to the Multi-temperature Refrigerated Container Vehicle Routing Problem (MRCVRP), and proposes a two-stage heuristic which consists of

Abstract: This paper presents a meta-heuristic, which is based on the Threshold Accepting combined with modified Nearest Neighbor and Exchange procedures, to solve the Vehicle

針對上述問題及根據其他接駁配送方式，本研究提出「多重補貨點接駁車 輛路線問題 (Multi-Point Feeder Vehicle Routing Problem, MFVRP)」

CMAC Neural network model based on compose particle swarm optimization, International Conference on Computational Intelligence and Security Workshops, CISW, 212-215. Design