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

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Nested Partitioning for the Minimum Energy Broadcast Problem,nces with 20 and 50 nodes where results are compared to either optimum or best results found by an IP solver. In these instances, the proposed algorithm was able to find optimal and near optimal solutions.

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亞麻制品

Evolution of Fitness Functions to Improve Heuristic Performance, and the performance of heuristics enhanced with the variable fitness function is compared to the original heuristics, yielding significant improvements. The structure of the variable fitness functions is analysed and the search is visualised to better understand the process.

大方一點(diǎn)

Hybrid Heuristics for Multi-mode Resource-Constrained Project Scheduling,putational results show that path relinking is able to improve the tabu search based heuristics, and that these hybrid heuristics are able to find good quality solutions in quite short computational times.

節(jié)約

0302-9743 , 2007, in Trento, Italy. The motivation for the meeting is related to the current explosion in the number and variety of heuristic algorithms for hard optimization problems, which raises - merous interesting and challenging issues. Practitioners are confronted with the b- den of selecting the most

火光在搖曳

Learning While Optimizing an Unknown Fitness Surface,cy by using the Least Squares Policy Iteration (LSPI) method. Preliminary experiments on Maximum Satisfiability (MAX-SAT) instances show very promising results indicating that the learnt policy is competitive with previously proposed reactive strategies.

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A Vector Assignment Approach for the Graph Coloring Problem,m for?GCP, whose search space is the set of solutions for 2VAP. The algorithm is quite simple and can be considered as a variant of the threshold accepting. The experiments show that our algorithm works well for graphs with relatively low degree.

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