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Adversarial decision making is aimed at finding strategies for dealing with an adversary who observes our decisions and tries to learn our behaviour pattern. This contribution extends a simple mathematical model with strategies that vary along time, and motivates the use of heuristic search procedures to address the problem of finding good strategies within this new search space. The evaluation of...
The modern sea combat is a typical complex adaptive system (CAS), involving a large number of subjective and qualitative factors, which is difficult to explore for many traditional methods. This paper adopts artificial life to establish a simulation system of modern anti-surface warfare of warship fleet to research the impact of the important subjective and qualitative factors on the warfare result...
This paper presents a decision making approach based on a hybrid GA for determining the most efficient number of operators and the efficient measurement of operator assignment in cellular manufacturing system (CMS).The objective is to determine the labor assignment in CMS environment with the optimum performance. We use The GA for getting near optimum ranking of the alternative with accordance to...
Scheduling of semiconductor wafer fabrication system is identified as a complex problem, involving multiple and conflicting objectives (makespan and minimizing waiting time for instance) to satisfy. In this study, we propose an effective approach based an artificial neural network technique embedded in a multi-objective optimization loop for multi-decision scheduling problems in a semiconductor wafer...
This paper analyzed the replenishment problem faced by manufacturer who adopts the vendor management inventory (VMI) replenishment strategy with different retailers in apparel supply chain. An optimization replenishment model with the consideration of production capacity constraints was proposed. A simulation program was presented to generate the VMI replenishment strategy to satisfy the customer...
The design of a supply chain network as an integrated system with several tiers of suppliers is a difficult task. It consists of making strategic decisions on the facility location, stocking location, production policy, production capacity, distribution and transportation modes. This research develops a hybrid optimization approach to address the supply chain configuration design problem. The new...
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