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Volumn 18, Issue 5, 2005, Pages 473-479

Crushing plant optimisation by means of a genetic evolutionary algorithm

Author keywords

Artificial intelligence; Comminution; Modelling; Process optimisation; Simulation

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMMINUTION; COMPUTER SIMULATION; CUSTOMER SATISFACTION; GENETIC ALGORITHMS; MINING; OPTIMIZATION; PARTICLE SIZE ANALYSIS;

EID: 14844320141     PISSN: 08926875     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mineng.2004.08.008     Document Type: Article
Times cited : (28)

References (5)
  • 1
    • 0035502064 scopus 로고    scopus 로고
    • Parameter optimization of multimachine power system stabilizers using genetic local search
    • M.A. Abido Parameter optimization of multimachine power system stabilizers using genetic local search Electrical Power and Energy Systems 23 2001 785 794
    • (2001) Electrical Power and Energy Systems , vol.23 , pp. 785-794
    • Abido, M.A.1
  • 2
    • 0037116765 scopus 로고    scopus 로고
    • Genetic local search for multi-objective combinatorial optimization
    • A. Jaszkiewicz Genetic local search for multi-objective combinatorial optimization European Journal of Operational Research 137 2002 50 71
    • (2002) European Journal of Operational Research , vol.137 , pp. 50-71
    • Jaszkiewicz, A.1
  • 5
    • 0034692129 scopus 로고    scopus 로고
    • Multi-objective optimization of membrane separation modules using genetic algorithm
    • C.C. Yuen, A. Aatmeeyata, S.K. Gupta, and A.K. Ray Multi-objective optimization of membrane separation modules using genetic algorithm Journal of Membrane Science 176 2000 177 196
    • (2000) Journal of Membrane Science , vol.176 , pp. 177-196
    • Yuen, C.C.1    Aatmeeyata, A.2    Gupta, S.K.3    Ray, A.K.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.