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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

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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

Comedienne

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

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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

FLIP

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

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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

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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