Abstract
A HAZMAT vehicle routing problem considering multi-objective requirements and a meta-heuristic solution algorithm is presented in this paper. In contrast to existing studies, an attempt has been made to carry out routing and route choice processes together as a single step process. Pareto-optimal concept using non-dominated paths are utilized, dealing with multiple objectives during both of these processes. An application of the proposed algorithm for solving a test HAZMAT vehicle routing problem is also presented. The set of pareto-optimal solutions obtained provides a number of economical and safe routing solutions, identifying the alternative routing choices in decision-making.
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