Titlebook: Matchmaking in Electronic Markets; An Agent-Based Appro Daniel J. Veit Book 2003 Springer-Verlag Berlin Heidelberg 2003 DOM.Electronic Mark

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Daniel J. Veitdone with the information taken from a structured document. Then the document is converted into a numerical representation by bestowing the distinct words with a numerical weight. The proposed method uses the knowledge of an iterative computation with a genetic algorithm to discover the optimal key

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Daniel J. Veitll. We introduce the . and . heuristics and discuss the results found. It may be argued that the VRP underpins many real-world logistics problems and that the ability to understand and solve them is crucial to being able to solve more complex real-world problems.

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Daniel J. Veitolution that does not satisfactorily address either characteristic. To address this problem, this chapter introduces a theme that recurs through this book; incorporating user choice into the problem-solving process. We encourage user choice? by presenting the user with a structured set of solutions

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Daniel J. Veitandomised Adaptive Search—Binary Grey Wolf Optimisation (GRASP-BGWO). Deriving confidence from the bio-inspired algorithm and the divide and conquer approach of the proposed optimisation, this work succeeds in improving the performance of the employed ensemble logistic regression classifier with min