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Titlebook: Computing Tools for Modeling, Optimization and Simulation; Interfaces in Comput Manuel Laguna,José Luis González Velarde Book 2000 Springer

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Book 2000rder to create more efficient and powerfulsoftware tools in the years ahead. The 17 papers included in thisvolume were carefully selected to cover a wide range of topics relatedto the interface between operations research and computer science. Thevolume includes the now perennial applications of rne
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E. Klieser,W. Lemmer,H. Schönellompass varying ranges of the search history. In addition, we propose designs for investigating these approaches empirically, and indicate how a neglected but important kind of memory called . can be implemented within the context of these methods.
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H. J. Jesdinsky,H. J. Trampischl information that may help the modeler. We review and discuss some ways of conveying structure, with examples from our designs for the AMPL modeling language. We show in particular how “declared suffixes” provide a new and useful way to express structure and acquire solution information.
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Building a High-quality Decision Tree with a Genetic Algorithm,sover and mutate (using a genetic algorithm) in order to generate trees of better quality. We conduct a computational study of our approach using a real-life marketing data set and find that our approach produces uniformly high-quality decision trees.
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Solving General Ring Network Design Problems by Meta-Heuristics,problems to produce a more general problem formulation and associated solution methods that apply to a broad range of problems. Computational results are reported for an implementation using a meta-heuristics framework with generic components for heuristic search.
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Scatter Search to Generate Diverse MIP Solutions, uncovering such a . of solutions, or even postulating what its defining features may be, has been conspicuously neglected. We address this challenge for 0-1 mixed integer programming problems and provide demonstrations of the computational efficiency of our approach.
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,Multi-Start and Strategic Oscillation Methods — Principles to Exploit Adaptive Memory,ompass varying ranges of the search history. In addition, we propose designs for investigating these approaches empirically, and indicate how a neglected but important kind of memory called . can be implemented within the context of these methods.
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