作者: 無意 時(shí)間: 2025-3-21 21:56
https://doi.org/10.1007/978-94-015-3948-7kers when modeling and solving the problems. Based on recent case studies in the literature, this chapter identifies common complicating features in grouping problems. These features are classified into model abstraction, the presence of multiple constraints, fuzzy management goals, and computationa作者: 無目標(biāo) 時(shí)間: 2025-3-22 03:36 作者: upstart 時(shí)間: 2025-3-22 04:52
The Voluntary One-Parent Family—Some Qualmsomputational application of the algorithm has recently faced complex challenges. For instance, the interaction of genetic parameters’ influence and their influence on the performance of the algorithm are complex and difficult to model in a precise and explicit way. Fine-tuning, control, and adaptati作者: observatory 時(shí)間: 2025-3-22 09:49
https://doi.org/10.1007/978-94-010-1351-2development projects, teaching institutions, and various other project-centered settings. However, decision makers concerned with team formation are often challenged by the presence of multiple criteria which make the problem more complex than can be anticipated. For example, it may be necessary to 作者: HEPA-filter 時(shí)間: 2025-3-22 15:53 作者: HEPA-filter 時(shí)間: 2025-3-22 18:31 作者: Incisor 時(shí)間: 2025-3-22 22:01
https://doi.org/10.1007/978-94-010-3532-3 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作者: 細(xì)節(jié) 時(shí)間: 2025-3-23 04:05 作者: temperate 時(shí)間: 2025-3-23 07:45 作者: 發(fā)起 時(shí)間: 2025-3-23 10:00
Philosophy, its History and Historiographyterial 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作者: invert 時(shí)間: 2025-3-23 14:50
https://doi.org/10.1007/978-1-4039-1370-8nd multi-criterion environment is a complex responsibility. In some cases, the tasks to be done by the suppliers have due dates and precedence constraints, for example, in construction subcontractor selection. In most industry settings, this activity involves conflicting management goals, multiple c作者: Comedienne 時(shí)間: 2025-3-23 21:11
Kierkegaard: Recollection and Repetition,ous 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 作者: Obscure 時(shí)間: 2025-3-23 23:56 作者: 形容詞 時(shí)間: 2025-3-24 02:30
Complicating Features in Industrial Grouping Problemskers when modeling and solving the problems. Based on recent case studies in the literature, this chapter identifies common complicating features in grouping problems. These features are classified into model abstraction, the presence of multiple constraints, fuzzy management goals, and computationa作者: FLIP 時(shí)間: 2025-3-24 09:27
Grouping Genetic Algorithms: Advances for Real-World Grouping Problemsld grouping problems have continued to grow. The number of new grouping problems continues to grow in the literature. Not surprisingly, the complexity of the problems continues to grow as well. As the size and complexity of the problems continue to grow, developing advanced genetic techniques is imp作者: 吞下 時(shí)間: 2025-3-24 11:33
Fuzzy Grouping Genetic Algorithms: Advances for Real-World Grouping Problemsomputational application of the algorithm has recently faced complex challenges. For instance, the interaction of genetic parameters’ influence and their influence on the performance of the algorithm are complex and difficult to model in a precise and explicit way. Fine-tuning, control, and adaptati作者: Antagonism 時(shí)間: 2025-3-24 16:19 作者: ENNUI 時(shí)間: 2025-3-24 20:31 作者: 毗鄰 時(shí)間: 2025-3-25 00:10
Optimizing Order Batching in Order Picking Systems: Hybrid Grouping Genetic Algorithmng through a distribution warehouse to collect items so as to satisfy customer orders. For efficient operation of manual order picking systems, order batching should be optimized. Customer orders should be grouped into picking orders of limited sizes, while ensuring that the total distance traversed作者: 預(yù)定 時(shí)間: 2025-3-25 07:00
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作者: 調(diào)整 時(shí)間: 2025-3-25 09:22 作者: 刺激 時(shí)間: 2025-3-25 12:54 作者: granite 時(shí)間: 2025-3-25 16:44
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作者: 虛情假意 時(shí)間: 2025-3-25 21:59 作者: 聽覺 時(shí)間: 2025-3-26 03:47
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 作者: 大都市 時(shí)間: 2025-3-26 08:13
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 作者: trigger 時(shí)間: 2025-3-26 10:05 作者: venous-leak 時(shí)間: 2025-3-26 13:04 作者: 羊齒 時(shí)間: 2025-3-26 20:00 作者: 剝削 時(shí)間: 2025-3-27 00:48
https://doi.org/10.1007/978-1-4039-1370-8spective (FGGA). The multi-criterion FGGA uses fuzzy evaluation methods to model multiple criteria by converting management goals and aspirations into normalized fuzzy membership functions. Illustrations are provided based on typical examples such as subcontractor selection.作者: slipped-disk 時(shí)間: 2025-3-27 01:32
Fuzzy Grouping Genetic Algorithms: Advances for Real-World Grouping Problemsand 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 作者: CRUMB 時(shí)間: 2025-3-27 07:31
Optimizing Order Batching in Order Picking Systems: Hybrid Grouping Genetic Algorithmtimes of the HGGA are generally shorter when compared to other algorithms. Thus, reduced length of picker tours leads to the overall reduction of the order picking time, which cuts down on overtime, workforce size, and the overall operational costs, while improving the quality of service.作者: Urgency 時(shí)間: 2025-3-27 12:22 作者: neutralize 時(shí)間: 2025-3-27 15:26
Assembly Line Balancinglts show that the hybrid grouping genetic algorithm is more efficient and effective than competitive algorithms. The algorithm can be used to assist decision makers in assembly line balancing decisions, with minimal computational requirements.作者: 儲備 時(shí)間: 2025-3-27 19:08 作者: 針葉類的樹 時(shí)間: 2025-3-28 01:05 作者: 門閂 時(shí)間: 2025-3-28 02:43 作者: 一個(gè)姐姐 時(shí)間: 2025-3-28 06:46 作者: 有害 時(shí)間: 2025-3-28 12:20 作者: Fretful 時(shí)間: 2025-3-28 15:57
Grouping Genetic Algorithms: Advances for Real-World Grouping Problems of application. In addition, new techniques and developments are proposed, including their strengths and potential areas of application. The potential of these techniques on improving the performance of the GGA procedure is quite promising.作者: 前兆 時(shí)間: 2025-3-28 20:21 作者: Amendment 時(shí)間: 2025-3-28 23:07 作者: opinionated 時(shí)間: 2025-3-29 04:29
Philosophy, Humor, and the Human Conditionutilizes grouping operators to model and address the problem in its various scenarios. The application of the GGA is extended to include cooperative learning problems that allow varying group sizes. Comparative computational results demonstrate that the proposed GGA is more effective and efficient than previous approaches.作者: indignant 時(shí)間: 2025-3-29 08:10 作者: INTER 時(shí)間: 2025-3-29 12:47
Philosophy, its History and Historiography a modular design, from a fuzzy multi-criterion perspective. A fuzzy grouping genetic algorithm (FGGA) is the proposed for grouping components of a design into modules. The proposed approach is crucial in a fuzzy environment where the design factors and the criteria for sustainability evaluation are difficult to quantify at the planning stage.作者: 流行 時(shí)間: 2025-3-29 17:04
Kierkegaard: Recollection and Repetition,ative experiments that may be carried out to test the specific techniques. Future potential applications of these GGA techniques are then presented. It is hoped that the suggested extensions will significantly go a long way to further advance the research in grouping genetic algorithms.
