Titlebook: Learning and Intelligent Optimization; Second International Vittorio Maniezzo,Roberto Battiti,Jean-Paul Watson Conference proceedings 2008

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Learning from the Past to Dynamically Improve Search: A Case Study on the MOSP Problem,icient simultaneous utilization of resources (stacks) is needed to achieve a set of tasks. We investigate through this problem how classical look-back reasonings based on explanations could be used to prune the search space and design a new solving technique. . have often been used to design intelli

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Multiobjective Landscape Analysis and the Generalized Assignment Problem,ling with multiobjective problems, there are several twists on the conventional notions of fitness landscapes. Multiobjective optimization problems provide additional difficulties for those seeking to study the properties of the search space. However, the requirement of finding multiple candidate so

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Limited-Memory Techniques for Sensor Placement in Water Distribution Networks,arious real-world constraints can be adequately modeled, the sophistication of the analysts applying the optimizer, and related environmental factors (e.g. whether a company is willing to trust predictions from computational models). Other features are less appreciated, but of equal importance in te