A reduced-cost multi-objective optimization method based on the pareto front technique, neural networks and PVM

European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2000

Volumn , Issue , 2000, Pages

  Giotis, A P ^a   Giannakoglou, K C ^a   Periaux J ^b  

^a NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

^b DASSAULT AVIATION   (France)

Author keywords

Genetic Algorithms; Multiobjective optimization; Pareto front; PVM; Radial Basis Function Networks

Indexed keywords

AERODYNAMIC SHAPE OPTIMIZATION; DESIGN VARIABLES; IMPORTANCE FACTORS; LOCAL NETWORKS; MULTI-OBJECTIVE OPTIMIZATION PROBLEM; NETWORKED WORKSTATIONS; PARETO FRONT; PVM;

COMPUTATIONAL FLUID DYNAMICS; COMPUTATIONAL METHODS; GENETIC ALGORITHMS; MESSAGE PASSING; RADIAL BASIS FUNCTION NETWORKS; TOOLS;

MULTIOBJECTIVE OPTIMIZATION;

EID: 84893366394     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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