Research on Kruskal Crossover Genetic Algorithm for Multi-Objective Logistics Distribution Path Optimization
نویسندگان
چکیده
منابع مشابه
Research on Kruskal Crossover Genetic Algorithm for Multi- Objective Logistics Distribution Path Optimization
To effectively optimize multi-objective logistics distribution path, the distance and distance related customer satisfaction factor are used as the objective function, a novel kruskal crossover genetic algorithm (KCGA) for multi-objective logistics distribution path optimization is proposed. To test the optimization results, the terminal distribution model and the virtual logistics system opera...
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ژورنال
عنوان ژورنال: International Journal of Multimedia and Ubiquitous Engineering
سال: 2015
ISSN: 1975-0080
DOI: 10.14257/ijmue.2015.10.8.36