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Outbound logistics is a crucial field of logistics management. This study considers a planning distribution for the poultry industry in Thailand. The goal of the study is to minimize the transportation cost for the multi-depot vehicle-routing problem (MDVRP). A novel enhanced differential evolution algorithm (RI-DE) is developed based on a new re-initialization mutation formula and a local search function. A mixed-integer programming formulation is presented in order to measure the performance of a heuristic with GA, PSO, and DE for small-sized instances. For large-sized instances, RI-DE is compared to the traditional DE algorithm for solving the MDVRP using published benchmark instances. The results demonstrate that RI-DE obtained a near-optimal solution of 99.03% and outperformed the traditional DE algorithm with a 2.53% relative improvement, not only in terms of solution performance, but also in terms of computational time.

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This research focuses on the parallel machines scheduling problem in the hard disk drive industry, with the objective of minimizing the makespan. In this problem, unrelated parallel machines with sequence-dependent setup time and machine eligibility are considered. This problem can be formulated as a deterministic R m |M j ,S jk |C max problem. To solve the problem, a mathematical model is developed for small-sized problems. For large-scale problems, algorithms based on a constructive heuristic (Unrelated Parallel Machines with Sequence-Dependent Setup Times and Machine eligibility (UPSDSTM)) and Differential Evolution (DE) are applied. The results demonstrate that the DE algorithm is very efficient. It yields higher relative improvement (RI) on the makespan.