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A two-phase approach is used which, in the first phase, the multi-depot locomotive assignment is converted to a set of single depot problems, and after that, each single depot problem is solved heuristically by a hybrid genetic algorithm.
Extensive numerical experiments are presented on different sets of benchmark instances for the homogeneous and the heterogeneous single depot dial-a-ride problem.
This paper presents a novel solution approach for planning cyclic distribution from a single depot to multiple customers with constant, deterministic demand rates.
A two-phase approach was used in which, in the first phase, the multi-depot locomotive assignment was converted to a set of single depot problems, and after that, each single depot problem was solved heuristically by a hybrid genetic algorithm.
The PFIH method was first introduced by[Solomon (1987]) to create an initial route configuration for each single depot problem in a time unit of the planning horizon (for more details, see[Solomon (1987])).
In this paper, the cluster-first, route-second approach is used to convert the multi-depot locomotive assignment to P single depot problems (for more details, see[Ghoseiri and Ghannadpour (2010])).
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We show that the problem can be modeled as a special case of the single-depot vehicle scheduling problem, which is polynomially solvable.
Beginning of LRP development can be traced back to 70 and 80s when Laporte and Nobert (1981) presented a single-depot model which was subsequently used by other researchers.
We report on a prototype decision support system (DSS) that recommends solutions for the single-depot rescheduling as well as vehicle scheduling (VSP) problems, since VRSP is closely related to VSP.
Meanwhile, oil depots and pipelines form an entire system, and each operation in a single oil depot may have influence on others.
This first, hurried journey on the ice resulted in the loss of ten of the party's 18 dogs, a single incomplete depot, and a frostbitten and generally demoralised shore party.
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