메뉴 건너뛰기




Volumn , Issue , 2013, Pages

An elitist polynomial mutation operator for improved performance of MOEAs in computer networks

Author keywords

evolutionary algorithms; Multi objective optimization; mutation

Indexed keywords

EVOLUTIONARY MULTI-OBJECTIVE ALGORITHMS; EVOLUTIONARY OPTIMIZATION ALGORITHM; MULTI-OBJECTIVE PROBLEM; MUTATION; MUTATION MECHANISM; PERFORMANCE INDICATORS; POLYNOMIAL MUTATION; VARIATION OPERATOR;

EID: 84891411647     PISSN: 10952055     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCCN.2013.6614105     Document Type: Conference Paper
Times cited : (26)

References (11)
  • 1
    • 0000991259 scopus 로고
    • Simulated binary crossover for continuous search space
    • Deb, K. & Agrawal, R.B. (1995) Simulated binary crossover for continuous search space, Complex Systems 9 (2) 115-148.
    • (1995) Complex Systems , vol.9 , Issue.2 , pp. 115-148
    • Deb, K.1    Agrawal, R.B.2
  • 2
    • 0040445957 scopus 로고    scopus 로고
    • A combined genetic adaptive search (geneas) for engineering design
    • Deb, K. & Goyal, M. (1996). A combined genetic adaptive search (geneas) for engineering design, Computer Science and Informatics 26 (4) 30-45.
    • (1996) Computer Science and Informatics , vol.26 , Issue.4 , pp. 30-45
    • Deb, K.1    Goyal, M.2
  • 4
    • 34848886877 scopus 로고    scopus 로고
    • Omni-Optimizer: A Generic Evolutionary Algorithm for Single and Multi-Objective Optimization
    • Deb, K. & Tiwari, S. (2008) Omni-Optimizer: A Generic Evolutionary Algorithm for Single and Multi-Objective Optimization. European Journal of Operational Research, Vol. 185.
    • (2008) European Journal of Operational Research , vol.185
    • Deb, K.1    Tiwari, S.2
  • 5
    • 79960890945 scopus 로고    scopus 로고
    • jMetal: A Java framework for multi-objective optimization
    • Durillo, J. J. & Nebro, A. J. (2011). jMetal: A Java framework for multi-objective optimization, Advances in Engineering Software 42, 760-771
    • (2011) Advances in Engineering Software , vol.42 , pp. 760-771
    • Durillo, J.J.1    Nebro, A.J.2
  • 7
    • 79955784157 scopus 로고    scopus 로고
    • Evolutionary Multiobjective Route Planning in Dynamic Multi-hop Ridesharing
    • Evolutionary Computation in Combinatorial Optimization
    • Herbawi, W. & Weber, M. (2011). Evolutionary Multiobjective Route Planning in Dynamic Multi-hop Ridesharing.Evolutionary Computation in Combinatorial Optimization Lecture Notes in Computer Science, Volume 6622/2011, 84-95
    • (2011) Lecture Notes in Computer Science , vol.6622 , Issue.2011 , pp. 84-95
    • Herbawi, W.1    Weber, M.2
  • 9
    • 0033318858 scopus 로고    scopus 로고
    • Multiobjective evolutionary algorithms: A comparative case study and the strength pareto approach
    • Zitzler, E. & Thiele, L. (1999). Multiobjective evolutionary algorithms: a comparative case study and the strength pareto approach. IEEE Transactions on Evolutionary Computation, 3(4):257-271.
    • (1999) IEEE Transactions on Evolutionary Computation , vol.3 , Issue.4 , pp. 257-271
    • Zitzler, E.1    Thiele, L.2
  • 10
    • 0034199979 scopus 로고    scopus 로고
    • Comparison of multiobjective evolutionary algorithms: Empirical results
    • Zitzler, E., Deb, K. & Thiele., L. (2000). Comparison of multiobjective evolutionary algorithms: Empirical results. Evolutionary Computation, 8(2):173-195.
    • (2000) Evolutionary Computation , vol.8 , Issue.2 , pp. 173-195
    • Zitzler, E.1    Deb, K.2    Thiele, L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.