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Solving weighted Max-Sat optimization problems using a Taboo Scatter Search metaheuristic
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Proceedings of the 2004 ACM symposium on Applied computing table of contents
Nicosia, Cyprus
SESSION: AI and computational logic and image analysis (AI) table of contents
Pages: 35 - 36  
Year of Publication: 2004
ISBN:1-58113-812-1
Authors
Dalila Boughaci  University of Sciences and Technology
Habiba Drias  University of Sciences and Technology
Sponsor
SIGAPP: ACM Special Interest Group on Applied Computing
Publisher
ACM  New York, NY, USA
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ABSTRACT

In the last three decades, many researchers have focused on the Satisfiability problem and on many of its variants, in particular, on the Weighted Maximum Satisfiability problem (Max-W-Sat). The latter is known to be difficult to solve, due to a high number of local minima present in its search space. In this Work, we present a metaheuristic based on Taboo search (TS) procedure that makes use of the Scatter search (SS) paradigm. Our objective is to support a TS by a SS add-on to explore the influence of a population and combination strategies on the ability of generating high quality solutions.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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Campus V., Laguna, M., Marti R. Context- independent scatter and tabu search for permutation problems. Document Internet, January 27, 2003.
 
3
 
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Frank, J A study of genetic algorithms to find approximate solutions to hard 3CNF problems, in proc of Golden Zest international conference on artificial intelligence, 1994.
 
5
Johnson. S, Approximation algorithms for combinatorial problems, Journal of computer and System Sciences 9, 256--278, 1974.
 
6
 
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Glover. F. Taboo search: Part I, ORSA, journal on computing, 1989.
 
8
Glover. F. Genetic algorithms, evolutionary algorithms and scatter search: changing tides and untapped potentials. Technical report. Graduate School of Business, University of Colorado, Boulder, long version of INFORMS CSTS Newsletter 19(1) 1998.
 
9
Laguna M, Glover. F Scatter Search. Internet Document Graduate school of business, University of Colorado, Boulder August 16, 1999.
 
10
Masure B Sais l Greroire, E. A Taboo search for Sat in proceedings of AAAI 1997.
 
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Collaborative Colleagues:
Dalila Boughaci: colleagues
Habiba Drias: colleagues