Linear network optimization: algorithms and codes
Linear network optimization: algorithms and codes
Ejection chains, reference structures and alternating path methods for traveling salesman problems
Discrete Applied Mathematics - Special volume: first international colloquium on graphs and optimization (GOI), 1992
Vehicle scheduling in public transit and Lagrangean pricing
Management Science
Models and Algorithms for Single-Depot Vehicle Scheduling
Transportation Science
Design and Analysis of Experiments
Design and Analysis of Experiments
A Branch-and-Cut Algorithm for the Multiple Depot Vehicle Scheduling Problem
Operations Research
A comparison of five heuristics for the multiple depot vehicle scheduling problem
Journal of Scheduling
Transit network timetabling and vehicle assignment for regulating authorities
Computers and Industrial Engineering
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The multiple depot vehicle scheduling problem (MDVSP) is a well-known and important problem arising in public transport. Although many solution approaches have been published in the literature, algorithms using metaheuristics appeared only very recently (large neighborhood search and Tabu search). In this paper, we introduce an iterated local search algorithm for the MDVSP, incorporating a neighborhood schema called ''block moves'', based on the notion of ejection chains. Using a set of benchmark instances, we show empirically that the proposed algorithm performs better than the best metaheuristics implemented so far and obtains high quality results within short computational times.