Get Algorithm Engineering and Experiments: 4th International PDF

By Marcus Poggi de Aragão, Renato F. Werneck (auth.), David M. Mount, Clifford Stein (eds.)

ISBN-10: 3540439773

ISBN-13: 9783540439776

ISBN-10: 3540456430

ISBN-13: 9783540456438

This booklet constitutes the completely refereed post-proceedings of the 4th overseas Workshop on set of rules Engineering and Experiments, ALENEX 2002, held in San Francisico, CA, united states in January 2002.
The 15 revised complete papers awarded have been conscientiously reviewed and chosen from 34 submissions. one of the subject matters addressed are hewistics for algorithms, combinatorial optimization, looking out, graph computation, community optimization, scheduling, computational geometry, sorting, and clustering algorithms.

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Additional info for Algorithm Engineering and Experiments: 4th International Workshop, ALENEX 2002 San Francisco, CA, USA, January 4–5, 2002 Revised Papers

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1. html. 19. T. E. Uribe and M. E. Stickel. Ordered binary decision diagrams and the Davis-Putnam procedure. In J. P. Jouannaud, editor, 1st Intl. Conf. on Constraints in Comp. Logics, volume 845 of LNCS, pages 34–49. Springer, September 1994. 20. A. Urquhart. Hard examples for resolution. Journal of the ACM, 34, 1987. gr Abstract. In many fields of application, shortest path finding problems in very large graphs arise. Scenarios where large numbers of on-line queries for shortest paths have to be processed in real-time appear for example in traffic information systems.

3 A Time-Sensitive System for Black-Box Combinatorial Optimization 27 heuristics are useful in the context of a time-sensitive combinatorial system, and that a combination of greedy and simulated annealing often outperforms either stand-alone component heuristic. Results for one instance of each problem are presented, but the analyzed behavior appears representative of all problem instances (see [15]). The results support the following claims: – No single heuristic outperforms the rest across all six problems.

All solvers were used with their default configurations, except ZRes which requires a special switch when solving hole-n instances. All runs were set to time out after 500s. We ran two sets of benchmarks which are considered to be difficult for traditional SAT solvers [3]. The hole-n family of benchmarks are come from the pigeonhole principle. Given n + 1 pigeons and n holes, the pigeonhole principle implies that least 2 pigeons must live in the same hole. The hole-n benchmarks are a CNF encoding of the negation of this principle, and are unsatisfiable as they place at most 1 pigeon in each hole.

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Algorithm Engineering and Experiments: 4th International Workshop, ALENEX 2002 San Francisco, CA, USA, January 4–5, 2002 Revised Papers by Marcus Poggi de Aragão, Renato F. Werneck (auth.), David M. Mount, Clifford Stein (eds.)


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