메뉴 건너뛰기




Volumn 145, Issue 1-2, 2003, Pages 1-32

Multiobjective heuristic state-space planning

Author keywords

Heuristic search; Multiobjective search; Multiple criteria; Planning

Indexed keywords

COSTS; HEURISTIC METHODS; PROBLEM SOLVING; RESOURCE ALLOCATION; STATE SPACE METHODS;

EID: 0037380348     PISSN: 00043702     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0004-3702(02)00371-5     Document Type: Article
Times cited : (42)

References (37)
  • 2
    • 0031074857 scopus 로고    scopus 로고
    • Fast planning through planning graph analysis
    • Blum A.L., Furst M.L. Fast planning through planning graph analysis. Artificial Intelligence. 90:1997;281-300.
    • (1997) Artificial Intelligence , vol.90 , pp. 281-300
    • Blum, A.L.1    Furst, M.L.2
  • 3
    • 0031385389 scopus 로고    scopus 로고
    • A robust and fast action selection mechanism for planning
    • Providence, RI
    • Bonet B., Loerincs G., Geffner H. A robust and fast action selection mechanism for planning. Proc. AAAI-97, Providence, RI. 1997;714-719.
    • (1997) Proc. AAAI-97 , pp. 714-719
    • Bonet, B.1    Loerincs, G.2    Geffner, H.3
  • 9
    • 2842560201 scopus 로고
    • STRIPS: A new approach to the application of theorem proving to problem solving
    • Fikes R.E., Nilsson N.J. STRIPS: A new approach to the application of theorem proving to problem solving. Artificial Intelligence. 2:1971;189-208.
    • (1971) Artificial Intelligence , vol.2 , pp. 189-208
    • Fikes, R.E.1    Nilsson, N.J.2
  • 11
    • 0032137162 scopus 로고    scopus 로고
    • Utility models for goal-directed decision-theoretic planners
    • Haddawy P., Hanks S. Utility models for goal-directed decision-theoretic planners. Computational Intelligence. 14:(3):1998;392-429.
    • (1998) Computational Intelligence , vol.14 , Issue.3 , pp. 392-429
    • Haddawy, P.1    Hanks, S.2
  • 12
  • 15
    • 0036377352 scopus 로고    scopus 로고
    • The FF planning system: Fast plan generation through heuristic search
    • Hoffmann J., Nebel B. The FF planning system: Fast plan generation through heuristic search. J. Artificial Intelligence Res. 14:2001;253-302.
    • (2001) J. Artificial Intelligence Res. , vol.14 , pp. 253-302
    • Hoffmann, J.1    Nebel, B.2
  • 18
    • 0033347766 scopus 로고    scopus 로고
    • Efficient implementation of the plan graph in STAN
    • Long D., Fox M. Efficient implementation of the plan graph in STAN. J. Artificial Intelligence Res. 10:1998;87-115.
    • (1998) J. Artificial Intelligence Res. , vol.10 , pp. 87-115
    • Long, D.1    Fox, M.2
  • 22
    • 0033522716 scopus 로고    scopus 로고
    • Using regression-match graphs to control search in planning
    • McDermott D. Using regression-match graphs to control search in planning. Artificial Intelligence. 109:(1-2):1999;111-159.
    • (1999) Artificial Intelligence , vol.109 , Issue.1-2 , pp. 111-159
    • McDermott, D.1
  • 25
    • 23044528574 scopus 로고    scopus 로고
    • Beyond the plan-length criterion
    • A. Nareyek. Local Search for Planning and Scheduling, Berlin: Springer
    • Nareyek A. A, Beyond the plan-length criterion. Nareyek A. Local Search for Planning and Scheduling. Lecture Notes Artificial Intelligence. 2148:2001;55-78 Springer, Berlin.
    • (2001) Lecture Notes Artificial Intelligence , vol.2148 , pp. 55-78
    • Nareyek, A.1
  • 28
    • 0001772845 scopus 로고    scopus 로고
    • GRT: A domain independent heuristic for STRIPS worlds based on greedy regression tables
    • Durham, UK
    • Refanidis I., Vlahavas I. GRT: A domain independent heuristic for STRIPS worlds based on greedy regression tables. Proc. 5th European Conf. on Planning (ECP-99), Durham, UK. 1999;346-358.
    • (1999) Proc. 5th European Conf. on Planning (ECP-99) , pp. 346-358
    • Refanidis, I.1    Vlahavas, I.2
  • 31
    • 0001198617 scopus 로고    scopus 로고
    • The GRT planning system: Backward heuristic construction in forward state-space planning
    • Refanidis I., Vlahavas I. The GRT planning system: Backward heuristic construction in forward state-space planning. J. Artificial Intelligence Res. 15:2001;115-161.
    • (2001) J. Artificial Intelligence Res. , vol.15 , pp. 115-161
    • Refanidis, I.1    Vlahavas, I.2
  • 33
    • 0000251307 scopus 로고
    • Multiobjective A*
    • Stewart B.S., White C.C. Multiobjective A* JACM. 38:(4):1991;775-814.
    • (1991) JACM , vol.38 , Issue.4 , pp. 775-814
    • Stewart, B.S.1    White, C.C.2
  • 37
    • 84880678649 scopus 로고    scopus 로고
    • The LPSAT engine and its application to resource planning
    • Stockholm, Sweden
    • Wolfman S.A., Weld D. The LPSAT engine and its application to resource planning. Proc. IJCAI-99, Stockholm, Sweden. 1999;310-316.
    • (1999) Proc. IJCAI-99 , pp. 310-316
    • Wolfman, S.A.1    Weld, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.