메뉴 건너뛰기




Volumn 5864 LNCS, Issue PART 2, 2009, Pages 159-168

Pareto optimal based evolutionary approach for solving multi-objective facility layout problem

Author keywords

Multi objective facility layout problem; Pareto optimal solutions; Qualitative objective; Quantitative objective

Indexed keywords

EVOLUTIONARY APPROACH; FACILITY LAYOUT PROBLEMS; MULTI OBJECTIVE; MULTI-OBJECTIVE GENETIC ALGORITHM; PARETO OPTIMAL SOLUTIONS; PARETO-OPTIMAL; QUANTITATIVE OBJECTIVES; REAL-WORLD APPLICATION; SINGLE OBJECTIVE; TEST PROBLEM; WEIGHTED SUM METHOD;

EID: 76249099028     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-10684-2_18     Document Type: Conference Paper
Times cited : (18)

References (21)
  • 1
    • 1542398674 scopus 로고    scopus 로고
    • Using Genetic Algorithms on Facilities Layout Problems
    • Michael, H.H., Ming-Jaan, W.: Using Genetic Algorithms on Facilities Layout Problems. Int. J. Adv. Manuf. Technol. 23, 301-310 (2004)
    • (2004) Int. J. Adv. Manuf. Technol , vol.23 , pp. 301-310
    • Michael, H.H.1    Ming-Jaan, W.2
  • 2
    • 76249132767 scopus 로고    scopus 로고
    • Singh, S.P., Singh, V.K.: An Improved Heuristic Approach for Multi-Objective Facility Layout Problem. Int. J. Prod. Res. iFirst, 1-24 (2009)
    • Singh, S.P., Singh, V.K.: An Improved Heuristic Approach for Multi-Objective Facility Layout Problem. Int. J. Prod. Res. iFirst, 1-24 (2009)
  • 3
    • 35148893275 scopus 로고    scopus 로고
    • A Local Genetic Approach to Multi-Objective, Facility Layout Problems with Fixed Aisles
    • Ye, M., Zhou, G.: A Local Genetic Approach to Multi-Objective, Facility Layout Problems with Fixed Aisles. Int. J. Prod. Res. 45(22), 5243-5264 (2007)
    • (2007) Int. J. Prod. Res , vol.45 , Issue.22 , pp. 5243-5264
    • Ye, M.1    Zhou, G.2
  • 4
    • 31744439068 scopus 로고    scopus 로고
    • Heuristic Approach for Solving the Multi-Objective Facility Layout Problem
    • Chen, C.-W., Sha, D.Y.: Heuristic Approach for Solving the Multi-Objective Facility Layout Problem. Int. J. Prod. Res. 43(21), 4493-4507 (2005)
    • (2005) Int. J. Prod. Res , vol.43 , Issue.21 , pp. 4493-4507
    • Chen, C.-W.1    Sha, D.Y.2
  • 6
    • 33750720690 scopus 로고    scopus 로고
    • Grosan, C., Abraham, A., Tigan, S., Chang, T.G.: How to Solve a Multicriterion Problem for Which Pareto Dominance Relationship Cannot Be Applied? A Case Study from Medicine. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds.) KES 2006. LNCS (LNAI), 4253, pp. 1128-1135. Springer, Heidelberg (2006)
    • Grosan, C., Abraham, A., Tigan, S., Chang, T.G.: How to Solve a Multicriterion Problem for Which Pareto Dominance Relationship Cannot Be Applied? A Case Study from Medicine. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds.) KES 2006. LNCS (LNAI), vol. 4253, pp. 1128-1135. Springer, Heidelberg (2006)
  • 10
    • 0023364439 scopus 로고
    • The Facility Layout Problem
    • Kusiak, A., Heragu, S.S.: The Facility Layout Problem. Eur. J. Oper. Res. 29, 229-251 (1987)
    • (1987) Eur. J. Oper. Res , vol.29 , pp. 229-251
    • Kusiak, A.1    Heragu, S.S.2
  • 11
    • 0346276622 scopus 로고    scopus 로고
    • A Solution to The Facility Layout Problem Using Simulated Annealing
    • Chwif, L., Marcos, R.P.B., Lucas, A.M.: A Solution to The Facility Layout Problem Using Simulated Annealing. Comput. Ind. 36, 125-132 (1998)
    • (1998) Comput. Ind , vol.36 , pp. 125-132
    • Chwif, L.1    Marcos, R.P.B.2    Lucas, A.M.3
  • 12
    • 0030242447 scopus 로고    scopus 로고
    • An Improved Tabu Search Heuristic for Solving Facility Layout Design Problems
    • Chiang, W.C., Kouvelis, P.: An Improved Tabu Search Heuristic for Solving Facility Layout Design Problems. Int. J. Prod. Res. 34(9), 2565-2585 (1996)
    • (1996) Int. J. Prod. Res , vol.34 , Issue.9 , pp. 2565-2585
    • Chiang, W.C.1    Kouvelis, P.2
  • 13
    • 41549117531 scopus 로고    scopus 로고
    • Kluendran, B., Velappan, S., Balamurugan, I.: Manufacturing Facilities layout Design using Genetic Algorithm. Int. J. Manufacturing and Management 14(3/4), 461-474 (2008)
    • Kluendran, B., Velappan, S., Balamurugan, I.: Manufacturing Facilities layout Design using Genetic Algorithm. Int. J. Manufacturing and Management 14(3/4), 461-474 (2008)
  • 14
    • 0034691901 scopus 로고    scopus 로고
    • On Solving Facility Layout Problems using Genetic Algorithms
    • Al-Hakim, L.: On Solving Facility Layout Problems using Genetic Algorithms. Int. J. Prod. Res. 38(11), 2573-2582 (2000)
    • (2000) Int. J. Prod. Res , vol.38 , Issue.11 , pp. 2573-2582
    • Al-Hakim, L.1
  • 15
    • 33748564656 scopus 로고    scopus 로고
    • A Review of Different Approaches to the Facility Layout Problems
    • Singh, S.P., Sharma, R.R.K.: A Review of Different Approaches to the Facility Layout Problems. Int. J. Adv. Manuf. Technol. 30, 425-433 (2006)
    • (2006) Int. J. Adv. Manuf. Technol , vol.30 , pp. 425-433
    • Singh, S.P.1    Sharma, R.R.K.2
  • 16
    • 0001057981 scopus 로고
    • A Genetic Algorithm for Facility Layout
    • Suresh, G., Vinod, V.V., Sahu, S.: A Genetic Algorithm for Facility Layout. Int. J. Prod. Res. 33(12), 3411-3423 (1995)
    • (1995) Int. J. Prod. Res , vol.33 , Issue.12 , pp. 3411-3423
    • Suresh, G.1    Vinod, V.V.2    Sahu, S.3
  • 17
    • 0000965291 scopus 로고
    • An Experimental Comparison of Techniques for the Assignment of Facilities to Locations
    • Nugent, C.E., Vollmann, T.E., Ruml, J.: An Experimental Comparison of Techniques for the Assignment of Facilities to Locations. Operations Research 16(1), 150-173 (1968)
    • (1968) Operations Research , vol.16 , Issue.1 , pp. 150-173
    • Nugent, C.E.1    Vollmann, T.E.2    Ruml, J.3
  • 18
    • 84952531536 scopus 로고
    • A Multigoal Heuristic for Facilities Design Problems: MUGHAL
    • Dutta, K.N., Sahu, S.: A Multigoal Heuristic for Facilities Design Problems: MUGHAL. Int. J. Prod. Res. 20(2), 147-154 (1982)
    • (1982) Int. J. Prod. Res , vol.20 , Issue.2 , pp. 147-154
    • Dutta, K.N.1    Sahu, S.2
  • 19
    • 0028464285 scopus 로고
    • A Study of Genetic Crossover Operations on the Facility Layout Problem
    • Chan, K.C., Tansri, H.: A Study of Genetic Crossover Operations on the Facility Layout Problem. Computers & Industrial Engineering 126(3), 537-550 (1994)
    • (1994) Computers & Industrial Engineering , vol.126 , Issue.3 , pp. 537-550
    • Chan, K.C.1    Tansri, H.2
  • 20
    • 76249091451 scopus 로고    scopus 로고
    • http://www.opt.math.tu-graz.ac.at/qaplib/


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.