In this work, we propose a procedure to compute Pareto-optimal fronts for the bi-objective Minimum Diameter-Cost Spanning Tree problem (bi-MDCST). The bi-MDCST aims at finding spanning trees with minimum total cost and minimum diameter. Strategic decision problems for high-speed trains infrastructure, as well as tactical and operational optimization problems for network design and transportation can be modeled as bi-MDCST. The proposed exact procedure makes use of components from the multi-objective exact method Parallel Partitioning Method, and Pareto-optimal fronts have been computed for two benchmark instances from the literature. To the best of our knowledge, there are no works dedicated to providing Pareto-optimal fronts for the bi-MDCST.
Accepté le :
DOI : 10.1051/ro/2014029
Mots-clés : Spanning trees, multi-objective optimization, Parallel Partitioning Method
@article{RO_2015__49_1_143_0, author = {de Sousa, Ernando Gomes and Santos, Andr\'ea Cynthia and Aloise, Dario Jos\'e}, title = {An exact method for solving the bi-objective {Minimum} {Diameter-Cost} {Spanning} {Tree} {Problem}}, journal = {RAIRO - Operations Research - Recherche Op\'erationnelle}, pages = {143--160}, publisher = {EDP-Sciences}, volume = {49}, number = {1}, year = {2015}, doi = {10.1051/ro/2014029}, mrnumber = {3349121}, zbl = {1310.90098}, language = {en}, url = {http://www.numdam.org/articles/10.1051/ro/2014029/} }
TY - JOUR AU - de Sousa, Ernando Gomes AU - Santos, Andréa Cynthia AU - Aloise, Dario José TI - An exact method for solving the bi-objective Minimum Diameter-Cost Spanning Tree Problem JO - RAIRO - Operations Research - Recherche Opérationnelle PY - 2015 SP - 143 EP - 160 VL - 49 IS - 1 PB - EDP-Sciences UR - http://www.numdam.org/articles/10.1051/ro/2014029/ DO - 10.1051/ro/2014029 LA - en ID - RO_2015__49_1_143_0 ER -
%0 Journal Article %A de Sousa, Ernando Gomes %A Santos, Andréa Cynthia %A Aloise, Dario José %T An exact method for solving the bi-objective Minimum Diameter-Cost Spanning Tree Problem %J RAIRO - Operations Research - Recherche Opérationnelle %D 2015 %P 143-160 %V 49 %N 1 %I EDP-Sciences %U http://www.numdam.org/articles/10.1051/ro/2014029/ %R 10.1051/ro/2014029 %G en %F RO_2015__49_1_143_0
de Sousa, Ernando Gomes; Santos, Andréa Cynthia; Aloise, Dario José. An exact method for solving the bi-objective Minimum Diameter-Cost Spanning Tree Problem. RAIRO - Operations Research - Recherche Opérationnelle, Special ROADEF 2013, Tome 49 (2015) no. 1, pp. 143-160. doi : 10.1051/ro/2014029. http://www.numdam.org/articles/10.1051/ro/2014029/
Computational methods for the diameter restricted minimum weight spanning tree problem. Austral. J. Combin. 10 (1994) 51–71. | MR | Zbl
, , and ,A GRASP algorithm for the multi-criteria minimum spanning tree problem. Ann. Oper. Res. 159 (2008) 125–133. | DOI | MR | Zbl
, and ,An exact -constraint method for bi-objective combinatorial optimization problems: Application to the Traveling Salesman Problem with profits. Eur. J. Oper. Res. 194 (2009) 39–50. | DOI | MR | Zbl
, and ,A survey of recent developments in multiobjective optimization. Ann. Oper. Res. 154 (2007) 29–50. | DOI | MR | Zbl
and ,T.H. Cormen, C.E. Leiserson and R.L. Rivest, Introduction to algorithms. McGraw-Hill, New York (1990). | MR | Zbl
Computing a diameter-constrained minimum spanning tree in parallel. Lect. Notes Comput. Sci. 1767 (2000) 17–31. | DOI | Zbl
and ,Improvements and extensions to the Miller-Tucker-Zemlin subtour elimination constraints. Oper. Res. Lett. 10 (1991) 27–36. | DOI | MR | Zbl
and ,K-PPM: A new exact method to solve multi-objective combinatorial optimization problems. Eur. J. Oper. Res. 200 (2010) 45–53. | DOI | MR | Zbl
, and ,A survey and annotated bibliography of multiobjective combinatorial optimization. OR-Spektrum 22 (2000) 425–460. | DOI | MR | Zbl
and ,M.R. Garey and D.S. Johnson, Computers and intractability: A guide to the theory of NP-completeness. W. H. Freeman, New York (1979). | MR | Zbl
Network flow models for designing diameter-constrained minimum-spanning and Steiner trees. Networks 41 (2003) 159–173. | DOI | MR | Zbl
and ,Modeling hop-constrained and diameter-constrained minimum spanning tree problems as Steiner tree problems over layered graphs. Math. Program. 128 (2011) 123–148. | DOI | MR | Zbl
, and ,M. Gruber and G.R. Raidl, Variable neighborhood search for the bounded diameter minimum spanning tree problem. In P. Hansen, N. Mladenovic, J.A.M. Pérez, B.M. Batista, and J.M. MorenoVega, editors, Proc. of the 18th Mini Euro Conference on Variable Neighborhood Search, pages 1–11, Tenerife, 2005.
On a bicriterion formulation of the problems of integrated system identification and system optimization. IEEE Trans. Syst. Man Cybern. SMC 1 (1971) 296–297. | MR | Zbl
, and ,Minimax location of a facility in an undirected graph. Transp. Sci. 7 (1978) 287–293. | DOI | MR
,Minimum diameter spanning trees and related problems. SIAM J. Comput. 20 (1991) 987–997. | DOI | MR | Zbl
, , and ,Parallel Partitioning Method (PPM): A new exact method to solve bi-objective problems. Comput. Oper. Res. 34 (2007) 2450–2462. | DOI | Zbl
, and ,D.R. Lima, A.C. Santos and D.J. Aloise, Um algoritmo evolucionário NSGA-II para resolver o problema bi-objetivo da árvore geradora de custo e diâmetro mínimos. In XVI Congreso Latino-Iberoamericano de Investigación Operativa, XLIV Simpósio Brasileiro de Pesquisa Operacional (CLAIO-SBPO), pages 689–699, 2012.
A hybrid heuristic for the diameter constrained minimum spanning tree problem. J. Glob. Optim. 46 (2010) 363–381. | DOI | MR | Zbl
, and ,Bicriteria network design problems. J. Algor. 28 (1998) 142–171. | DOI | MR | Zbl
, , , , and ,Integer programming formulations and Traveling Salesman Problems. J. ACM 7 (1960) 326–329. | DOI | MR | Zbl
, and ,Solving diameter-constrained minimum spanning tree problems by constraint programming. Int. Trans. Oper. Res. 17 (2010) 653–665. | DOI | MR | Zbl
, and ,G.R. Raidl and B.A. Julstrom, Greedy heuristics and an evolutionary algorithm for the bounded-diameter minimum spanning tree problem. In Proc. of the 18th ACM Symposium on Applied Computing, pages 747–752, Melbourne (USA), 2003.
Greedy heuristics for the diameter-constrained minimum spanning tree problem. J. Math. Sci. 161 (2009) 930–943. | DOI | MR | Zbl
and ,Bounded-diameter MST instances with hybridization of multi-objective EA. Int. J. Comput. Appl. 18 (2011) 17–25.
and ,A.C. Santos, D.R. Lima and D.J. Aloise, Modeling and solving the bi-objective minimum diameter-cost spanning tree problem. J. Glob. Optim. (2013) 1–22. | MR
Solving diameter constrained minimum spanning tree problem in dense graphs. Lect. Notes Comput. Sci. 3059 (2004) 458–467. | DOI
, and ,A multiobjective Branch-and-Bound framework: Application to the biobjective spanning tree problem. INFORMS J. Comput. 20 (2008) 472–484. | DOI | MR | Zbl
and ,Computing all efficient solutions of the biobjective minimum spanning tree problem. Comput. Oper. Res. 35 (2008) 198–211. | DOI | MR | Zbl
and ,The two Phases Method: An efficient procedure to solve bi-objective combinatorial optimization problems. Foundations of Computing and Decision Sciences 20 (1995) 149–165. | MR | Zbl
and ,Two-Phases Method and Branch and Bound procedures to solve the bi-objective knapsack problem. J. Glob. Optim. 12 (1998) 139–155. | DOI | MR | Zbl
, , and ,Multiobjective evolutionary algorithms: A survey of the state of the art. Swarm and Evolutionary Computation 1 (2011) 32–49. | DOI
, , , , and ,Genetic algorithm approach on multi-criteria minimum spanning tree problem. Eur. J. Oper. Res. 114 (1999) 141–152. | DOI | Zbl
and ,C. Zopounidis and P.M. Pardalos, Handbook of multicriteria analysis, vol. 103. Springer (2010). | Zbl
Cité par Sources :