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This paper proposed a co-evolutionary methodology to optimize the layout of a practical tandem automated guided vehicles (AGV) workshop aiming to reduce the costs for material transporting in manufacturing process. This methodology provided a fresh line to address the machine assignment, internal and external loop layout, as well as the loops arrangement on the floor synthetically, the transfer station...
Based on the study of the workshop layout, aiming at minimizing "transportation distance", the mathematical model of the workshop layout is established, and the optimal design of workshop layout is achieved by using the genetic algorithm with penalty function. Through the calculation of a living example, the validity and feasibility of the algorithm is verified.
This paper proposes the use of an optimization algorithm based on ant colonies for the development of competitive agents in the game environment in real time, specifically for the Ms. Pac-Man video game. Furthermore, a genetic algorithm is implemented to optimize the parameters of the artificial ants. The best agent obtained through experimentation will be sent to the competition of Ms. Pac-Man1 organized...
We propose a novel distributed cross-layer optimization approach for cognitive radio wireless networks. A cognitive radio is a wireless device that is capable of sensing the prevailing environmental conditions and automatically adapting its operating parameters in order to enhance the performance of both the system and potentially the whole network. Given the lack of a centralized intelligence to...
In agent bilateral multi-issue bidding negotiation protocol, how to make the negotiation agents gain satisfying result farthest and negotiate efficiently is a key issue. As for this problem, a genetic algorithm based on metropolis rule is present in the protocol and the algorithm is applied in bilateral multi-issue simultaneous bidding negotiation protocol in E-commerce. In the protocol, the negotiation...
A major issue in software testing is the automatic generation of the inputs to be applied to the programme under test. To solve this problem, a number of approaches based on search methods have been developed in the last few years, offering promising results for adequacy criteria like, for instance, branch coverage. We devise branch coverage as the satisfaction of a number of constraints. This allows...
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