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Abstract
The unicost version of well-known set covering problem (SCP) is central to a wide variety of practical applications for which finding an optimal solution quickly is crucial. In this paper, we propose a new local searchbased algorithm for the unicost SCP which follows the general framework of the popular stochastic local search with a particular focus on the hyperedge selection strategy and weight diversity strategy. Specifically, a strategy as called hyperedge configuration checking strategy is proposed here to avoid the search trajectory which leads to local optima. Additionally, a new weight diversity strategy is proposed for the diversification of search results, by changing the weight of both covered and uncovered vertices in the current solution. The experimental results show that our algorithm significantly outperforms the state-of-the-art heuristic algorithm by one to two orders of magnitudes on the 85 classical instances. Also, our algorithm improves the current optimal solutions of 11 instances.
创新点
本文提出了一个基于随机局部搜索求解集合覆盖的算法. 在本文中, 提出一种超边配置检测策略用来避免陷入局部最优. 更重要地, 通过改变未覆盖和覆盖顶点的权值,本文设计了一种权值多样化策略用来得到更多地不同的解. 在经典的85个测试用例上, 实验结果给出本文设计的局部搜索算法比目前最好的启发式算法,能够使用更短的时间找到更好的候选解.
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References
Karp R M. Reducibility among combinatorial problems. In: Complexity of Computer Computations. New York: Plenum Press, 1972. 85–103
Chakrabarty K. Test scheduling for core-based systems using mixed-integer linear programming. IEEE Trans Comput- Aided Des Integr Circuits Syst, 2000, 19: 1163–1174
van Bevern R. Towards optimal and expressive kernelization for d-Hitting Set. Comput Comb, 2012, 7434: 121–132
Ausiello G, D’Atri A, Protasi M. Structure preserving reductions among convex optimization problems. J Comput Syst Sci, 1980, 21: 136–153
Cai S W, Su K L, Luo C, et al. NuMVC: An efficient local search algorithm for minimum vertex cover. J Artif Intell Res, 2014, 46: 687–716
Dinur I, Safra S. On the hardness of approximating minimum vertex cover. Ann Math, 2005, 162: 439–485
Caprara A, Fischetti M, Toth P. A heuristic method for the set covering problem. Oper Res, 1999, 47: 730–743
Reiter R. A theory of diagnosis from first principles. Artif Intell, 1987, 32: 57–95
Zhao X F, Ouyang D T. Improved algorithms for deriving all minimal conflict sets in model-based diagnosis. In: Proceedings of the Intelligent Computing 3rd International Conference on Advanced Intelligent Computing Theories and Applications. Berlin: Springer, 2007. 157–166
Angel E, Bampis E, Gourvès L. On the minimum hitting set of bundles problem. Theor Comput Sci, 2009, 410: 4534–4542
Sellis T K. Multiple-query optimization. ACM Trans Database Syst, 1988, 13: 23–52
Avella P, Boccia M, Vasilyev I. Computational experience with general cutting planes for the Set Covering problem. Oper Res Lett, 2009, 37: 16–20
Björklund P, Värbrand P, Yuan D. A column generation method for spatial TDMA scheduling in ad hoc networks. Ad Hoc Netw, 2004, 2: 405–418
Hemazro T D, Jaumard B, Marcotte O. A column generation and branch-and-cut algorithm for the channel assignment problem. Comput Oper Res, 2008, 35: 1204–1226
Caprara A, Toth P, Fischetti M. Algorithms for the set covering problem. Ann Oper Res, 2000, 98: 353–371
Pereira J, Averbakh I. The robust set covering problem with interval data. Ann Oper Res, 2013, 207: 217–235
Yelbay S B, Birbil I, Bülbül K. The set covering problem revisited: an empirical study of the value of dual information. J Ind Manag Optimiz, 2015, 11: 575–594
Galinier P, Hertz A. Solution techniques for the large set covering problem. Discret Appl Mathematics, 2007, 155: 312–326
Yagiura M, Kishida M, Ibaraki T. A 3-flip neighborhood local search for the set covering problem. Eur J Oper Res, 2006, 172: 472–499
Kinney G W, Barnes J W, Colletti B W. A reactive tabu search algorithm with variable clustering for the unicost set covering problem. Int J Oper Res, 2007, 2: 156–172
Caserta M. Tabu search-based metaheuristic algorithm for large-scale set covering problems. Metaheuristics Progress Complex Syst Opt, 2007, 39: 43–63
Umetani S, Yagiura M. Relaxation heuristics for the set covering problem. J Oper Res Soc Jpn, 2007, 50: 350–375
Lan G, De Puy G W, Whitehouse G E. An effective and simple heuristic for the set covering problem. Eur J Oper Res, 2007, 176: 1387–1403
Bautista J, Pereira J. A GRASP algorithm to solve the unicost set covering problem. Comput Oper Res, 2007, 34: 3162–3173
Ablanedo-Rosas J H, Rego C. Surrogate constraint normalization for the set covering problem. Eur J Oper Res, 2010, 205: 540–551
Sundar S, Singh A. A hybrid heuristic for the set covering problem. Oper Res, 2012, 12: 345–365
Crawford B, Soto R, Cuesta R, et al. Application of the artificial bee colony algorithm for solving the set covering problem. Sci World J, 2014, 2014: 189164
Mulati M H, Constantino A A. Ant-Line: a line-oriented ACO algorithm for the set covering problem. In: Proceedings of the IEEE International Conference of the Chilean Computer Science Society, Curico, 2011. 265–274
Ren Z G, Feng Z R, Ke L J, et al. New ideas for applying ant colony optimization to the set covering problem. Comput Ind Eng, 2010, 58: 774–784
Beasley J E, Chu P C. A genetic algorithm for the set covering problem. Eur J Oper Res, 1996, 94: 392–404
Naji-Azimi Z, Toth P, Galli L. An electromagnetism metaheuristic for the unicost set covering problem. Eur J Oper Res, 2010, 205: 290–300
Glover F. Tabu search-part I. ORSA J Comput, 1989, 1: 190–206
Selman B, Kautz H A, Cohen B. Noise strategies for improving local search. In: Proceedings of National Conference on Artificial Intelligence, Seattle, 1994. 337–343
Cai S W, Su K L. Comprehensive score: towards efficient local search for sat with long clauses. In: Proceedings of the International Joint Conference on Artificial Intelligence, Beijing, 2013. 489–495
Cai S W, Su K L. Local search with configuration checking for SAT. In: Proceedings of the IEEE International Conference on Tools with Artificial Intelligence, Boca Raton, 2011. 59–66
Luo C, Cai SW, Wu W, et al. Double configuration checking in stochastic local search for satisfiability. In: Proceedings of National Conference on Artificial Intelligence, Québec, 2014. 2703–2709
Cai S W, Su K L. Local search for boolean satisfiability with configuration checking and subscore. Artif Intell, 2013, 204: 75–98
Luo C, Cai S W, Su K L, et al. Clause states based configuration checking in local search for satisfiability. IEEE Trans cybern, 2014, 45: 1014–1027
Luo C, Cai S W, Wu W, et al. CCLS: an efficient local search algorithm for weighted maximum satisfiability. IEEE Trans Comput, 2015, 64: 1830–1843
Beasley J E. OR-Library: distributing test problems by electronic mail. J Oper Res Soc, 1990, 41: 1069–1072
Xu K, Boussemart F, Hemery F, et al. A simple model to generate hard satisfiable instances. In: Proceedings of the International Joint Conference on Artificial Intelligence, Edinburgh, 2005. 337–342
Selman B, Levesque H J, Mitchell D G. A new method for solving hard satisfiability problems. In: Proceedings of National Conference on Artificial Intelligence, San Jose, 1992. 440–446
Li C M, Huang W Q. Diversification and determinism in local search for satisfiability. Lect Notes Comput Sci, 2005, 3569: 158–172
Gent I P, Walsh T. Towards an understanding of hill-climbing procedures for SAT. In: Proceedings of National Conference on Artificial Intelligence, Washington, 1993. 28–33
Cai S W, Su K L, Sattar A. Local search with edge weighting and configuration checking heuristics for minimum vertex cover. Artif Intell, 2011, 175: 1672–1696
Xu K, Li W. Many hard examples in exact phase transitions. Theor Comput Sci, 2006, 355: 291–302
Xu K, Li W. Exact phase transitions in random constraint satisfaction problems. J Artif Intell Res, 2000, 12: 93–103
Xu K, Boussemart F, Hemery F, et al. Random constraint satisfaction: easy generation of hard (satisfiable) instances. Artif Intell, 2007, 171: 514–534
Gao J, Wang J N, Yin M H. Experimental analyses on phase transitions in compiling satisfiability problems. Sci China Inf Sci, 2015, 58: 032104
Huang P, Yin M H. An upper (lower) bound for Max (Min) CSP. Sci China Inf Sci, 2014, 57: 072109
Grossman T, Wool A. Computational experience with approximation algorithms for the set covering problem. Eur J Oper Res, 1997, 101: 81–92
Acknowledgments
This work was supported in part by National Natural Science Foundation of China (Grant Nos. 61272208, 61370156, 61402196, 61503074, 61672261), Natural Science Foundation of Zhejiang Province (LY16F020004), and Program for New Century Excellent Talents in University (Grant No. NCET-13-0724). The authors of this paper express sincere gratitude to all the anonymous reviewers for their hard work.
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Authors and Affiliations
Symbol Computation and Knowledge Engineer of Ministry of Education, Jilin University, Changchun, 130012, China
Yiyuan Wang, Dantong Ouyang, Liming Zhang & Minghao Yin
College of Computer Science and Technology, Jilin University, Changchun, 130012, China
Yiyuan Wang, Dantong Ouyang & Liming Zhang
School of Computer Science and Information Technology, Northeast Normal University, Changchun, 130117, China
Minghao Yin
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Correspondence toMinghao Yin.
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Wang, Y., Ouyang, D., Zhang, L.et al. A novel local search for unicost set covering problem using hyperedge configuration checking and weight diversity.Sci. China Inf. Sci.60, 062103 (2017). https://doi.org/10.1007/s11432-015-5377-8
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Keywords
- unicost set covering problem
- hyperedge configuration checking
- local search
- weight diversity strategy
- hyperedge selection strategy