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

This publication 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 provided have been rigorously 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 resources for Algorithm Engineering and Experiments: 4th International Workshop, ALENEX 2002 San Francisco, CA, USA, January 4–5, 2002 Revised Papers

Example text

For example, simulated annealing does not perform as well as greedy on our traveling salesman instance within the 120 seconds allotted. However, given 3 hours, the exponential simulated annealing heuristic finds a solution of score 326828, which is within near optimal optimal and far better than the solution found by the greedy heuristic. – Greedy heuristics and other constructive strategies do better than local search when energy landscapes are relatively flat; for example, shortest common superstring.

Sakallah. Backtrack Search Using ZBDDs. Intl. Workshop on Logic and Synthesis, (IWLS), 2001. 3. P. Beame and R. Karp. The efficiency of resolution and Davis-Putnam procedures . submitted for publication. 4. P. Chatalic and L. Simon. Multi-Resolution on Compressed Sets of Clauses. Proc. of 12th International Conference on Tools with Artificial Intelligence (ICTAI-2000), November 2000. 5. P. Chatalic and L. Simon. ZRes: the old DP meets ZBDDs. Proc. of the 17th Conf. of Autom. Deduction (CADE), 2000.

Skiena, and P. Sumazin. A model for analyzing black box optimization. in preparation, 2001. [15] V. Phan, P. Sumazin, and S. Skiena. Discropt web page. edu/∼discropt. [16] G. Reinelt. TSPLIB. de/groups/comopt/software/TSPLIB95. [17] G. Reinelt. TSPLIB— A traveling salesman problem library. ORSA Journal on Computing, 3(4):376–384, 1991. [18] M. Resende. Max-Satisfiability Data. com/∼mgcr. [19] D. H. Wolpert and W. G. Macready. No free lunch theorems for optimization. IEEE Transactions on Evolutionary Computation, 1(1):67–82, 1997.

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