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This paper described the way of generating a reasonable bus scheduling, so that getting the lowest operating costs, the shortest waiting time for average passenger and the smallest vehicle demand in some bus lines of regional area. To achieve information resource and transport ability sharing, the transit regional scheduling optimization model is set up, and solved by hybrid simulated annealing/genetic...
In this paper, we consider a class of pickup and delivery problems. The problem requires that any paired pickup and delivery locations have to be served by one vehicle and the pickup location has to be scheduled before the corresponding delivery location in the route. In order to find near-optimal transportation plans, we discuss a hybrid approach mixing branch-and bound techniques and meta-heuristics...
Maritime terminals of pure transhipment are emerging logistic realities in long-distance containerized trade. Here, complex activities of resource allocation and scheduling should be optimized in a dynamic, non deterministic environment. The assignment of expensive quay cranes to multiple vessel-holds for container discharging and loading operations is a major problem, whose solution affects the operational...
In this plethora of increased competitiveness and globalization the effective management of the warehouse system is a challenging task. Realizing that proper scheduling of the warehouses is necessary to outperform the competitors on cost, lead time, and customer service basis (Koster, 1998); the proposed research focuses on optimization of warehouse scheduling problems. This research aims to minimize...
Particle swarm optimization combined with simulated annealing algorithm (PSOCSA) was an improved particle swarm optimization algorithm which introduced the simulated annealing (SA) strategy in particle swarm optimization (PSO). It was proposed to solve a mathematical model which is built for aircraft departure sequencing problem in this paper. The correlative implementation techniques and detailed...
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