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Volumn 1, Issue , 2001, Pages 417-421

A genetic algorithm and an indifference-zone ranking and selection framework for simulation optimization

Author keywords

[No Author keywords available]

Indexed keywords

COMBINATORIAL MATHEMATICS; COMPUTER SIMULATION; GENETIC ALGORITHMS; OPTIMIZATION; RANDOM PROCESSES;

EID: 0035696433     PISSN: 02750708     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (13)

References (14)
  • 8
    • 0007902187 scopus 로고
    • A Performance-Based Study of Nonparametric Metamodeling Techniques for the Classification of Response Surfaces in Simulation Optimization
    • Working Paper from Virginia Tech.
    • (1995)
    • Keys, A.1    Rees, L.2    Greenwood, A.3
  • 9
    • 0007943381 scopus 로고    scopus 로고
    • Noise, sampling, and efficient genetic algorithms
    • University of Illinois at Urbana-Champaign, Illinois Genetic Algorithms Laboratory, Urbana, IL
    • (1997) IlliGAL Report No. 97001
    • Miller, B.L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.