A Novel Enhanced Differential Evolution Algorithm for Outbound Logistics of the Poultry Industry in Thailand

A Novel Enhanced Differential Evolution Algorithm for Outbound Logistics of the Poultry Industry in Thailand

Blog Article

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 animed aniflex complete 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 click here 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.