메뉴 건너뛰기




Volumn , Issue , 2011, Pages 49-56

Self-organized invasive parallel optimization

Author keywords

self organized optimization

Indexed keywords

ADAPTIVE APPROACH; COMPARATIVE EVALUATIONS; JOB ASSIGNMENTS; MULTI-OBJECTIVE OPTIMIZATION PROBLEM; OPTIMIZATION PROBLEMS; OPTIMIZATION PROCESS; OPTIMIZATION TASK; PARALLEL OPTIMIZATION; PARALLEL PLATFORMS; SELF-ORGANIZED; SELF-ORGANIZED OPTIMIZATION;

EID: 79960132507     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1998570.1998581     Document Type: Conference Paper
Times cited : (1)

References (23)
  • 3
    • 57049148091 scopus 로고    scopus 로고
    • Consideration of partial user preferences in evolutionary multiobjective optimization
    • J. Branke. Consideration of partial user preferences in evolutionary multiobjective optimization. In Multiobjective Optimization, pages 157-178, 2008.
    • (2008) Multiobjective Optimization , pp. 157-178
    • Branke, J.1
  • 4
    • 0035370797 scopus 로고    scopus 로고
    • Guidance in evolutionary multi-objective optimization
    • DOI 10.1016/S0965-9978(00)00110-1, PII S0965997800001101
    • J. Branke, T. Kaußler, and H. Schmeck. Guidance in evolutionary multi-objective optimization. Advances in Engineering Software, 32(6):499-507, 2001. (Pubitemid 32421508)
    • (2001) Advances in Engineering Software , vol.32 , Issue.6 , pp. 499-507
    • Branke, J.1    Kaussler, T.2    Schmeck, H.3
  • 11
    • 84976747936 scopus 로고
    • Multiple tuple spaces in linda
    • PARLE 89
    • D. Gelernter. Multiple tuple spaces in linda. In PARLE 89, Vol. II: Parallel Languages, pages 20-27, 1989.
    • (1989) Parallel Languages , vol.2 , pp. 20-27
    • Gelernter, D.1
  • 12
    • 0023287761 scopus 로고
    • Problem-heap: A paradigm for multiprocesor algorithms
    • P. Møller-Nielsen and J. Staunstrup. Problem-heap: A paradigm for multiprocesor algorithms. Parallel Computing, 4(1):63-74, 1987.
    • (1987) Parallel Computing , vol.4 , Issue.1 , pp. 63-74
    • Møller-Nielsen, P.1    Staunstrup, J.2
  • 14
    • 63449140018 scopus 로고    scopus 로고
    • Self-organized parallel cooperation for solving optimization problems
    • 22nd International Conference on Architecture of Computing Systems, Berlin, Heidelberg, Springer
    • S. Mostaghim and H. Schmeck. Self-organized parallel cooperation for solving optimization problems. In 22nd International Conference on Architecture of Computing Systems, volume 5455 of Lecture Notes in Computer Science, pages 135-145, Berlin, Heidelberg, 2009. Springer.
    • (2009) Lecture Notes in Computer Science , vol.5455 , pp. 135-145
    • Mostaghim, S.1    Schmeck, H.2
  • 15
    • 84942162725 scopus 로고    scopus 로고
    • Strategies for finding good local guides in multi-objective particle swarm optimization
    • S. Mostaghim and J. Teich. Strategies for finding good local guides in multi-objective particle swarm optimization. In IEEE Swarm Intelligence Symposium, pages 26-33, 2003.
    • (2003) IEEE Swarm Intelligence Symposium , pp. 26-33
    • Mostaghim, S.1    Teich, J.2
  • 16
    • 78149260299 scopus 로고    scopus 로고
    • Preference-based multi-objective particle swarm optimization using desirabilities
    • Parallel Problem Solving from Nature (PPSN), Springer
    • S. Mostaghim, H. Trautmann, and O. Mersmann. Preference-based multi-objective particle swarm optimization using desirabilities. In Parallel Problem Solving from Nature (PPSN), pages 101-110. Parallel Problem Solving from Nature (PPSN), Springer, 2010.
    • (2010) Parallel Problem Solving from Nature (PPSN) , pp. 101-110
    • Mostaghim, S.1    Trautmann, H.2    Mersmann, O.3
  • 20
    • 58149170455 scopus 로고    scopus 로고
    • Preference-Based Pareto-Optimization in Certain and Noisy Environments
    • H. Trautmann and J. Mehnen. Preference-Based Pareto-Optimization in Certain and Noisy Environments. Engineering Optimization, 41:23-38, 2009.
    • (2009) Engineering Optimization , vol.41 , pp. 23-38
    • Trautmann, H.1    Mehnen, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.