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21#
發(fā)表于 2025-3-25 07:00:17 | 只看該作者
Fleet Size and Mix Vehicle Routing: A Multi-Criterion Grouping Genetic Algorithm Approach the total cost of a product. Strong global competition continues to aggravate the demand for higher efficiency, high quality of service, timeliness, reactivity, and cost-effectiveness in transportation. It is therefore important to optimize vehicle routing in order to provide cost-effective service
22#
發(fā)表于 2025-3-25 09:22:28 | 只看該作者
23#
發(fā)表于 2025-3-25 12:54:24 | 只看該作者
24#
發(fā)表于 2025-3-25 16:44:31 | 只看該作者
Modeling Modular Design for Sustainable Manufacturing: A Fuzzy Grouping Genetic Algorithm Approachterial cost, manufacturing cost, and assembly costs and improve suitability. A good modular design can help to build sustainability into the entire life cycle of a product. However, the success of the design process is dependent on sufficient knowledge of the influence of design factors on the econo
25#
發(fā)表于 2025-3-25 21:59:05 | 只看該作者
26#
發(fā)表于 2025-3-26 03:47:21 | 只看該作者
Further Research and Extensionsous disciplines in industry. Computational results have shown that the performance of the algorithms is promising, in terms of efficiency and solution quality. However, further extensions to the algorithms and their applications are still quite possible; it will be interesting to look into possible
27#
發(fā)表于 2025-3-26 08:13:31 | 只看該作者
The Voluntary One-Parent Family—Some Qualmsand to handle complex real-world grouping problems with fuzzy characteristics. It is hoped that the proposed fuzzy GGA (FGGA) presented in this chapter is an effective and efficient algorithm for solving real-world grouping problems, even in a fuzzy environment. Avenues for further research in this
28#
發(fā)表于 2025-3-26 10:05:49 | 只看該作者
29#
發(fā)表于 2025-3-26 13:04:38 | 只看該作者
30#
發(fā)表于 2025-3-26 20:00:19 | 只看該作者
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