Progress in design optimization using evolutionary algorithms for aerodynamic problems

Progress in Aerospace Sciences

Volumn 46, Issue 5-6, 2010, Pages 199-223

  Lian, Yongsheng ^a   Oyama, Akira ^b   Liou, Meng Sing ^c  

^a UNIVERSITY OF LOUISVILLE   (United States)

^b JAPAN AEROSPACE EXPLORATION AGENCY   (Japan)

^c NASA GLENN RESEARCH CENTER   (United States)

Author keywords

Data mining; Evolutionary algorithms; Multi objective design optimization; NASA rotor 67 blade; Robust and reliability based design; Surrogate model

Indexed keywords

AERODYNAMICS; DATA MINING; EVOLUTIONARY ALGORITHMS; FIGHTER AIRCRAFT; MACHINE DESIGN; MICRO AIR VEHICLE (MAV); NASA; PARETO PRINCIPLE;

DESIGN OPTIMIZATION PROBLEM; EVOLUTIONARY ALGORITHMS (EAS); MULTI-OBJECTIVE DESIGN OPTIMIZATION; OPTIMIZATION PROBLEMS; PARETO OPTIMAL SOLUTIONS; RELIABILITY BASED DESIGN; RELIABILITY-BASED DESIGN OPTIMIZATION; SURROGATE MODEL;

MULTIOBJECTIVE OPTIMIZATION;

EID: 77955270219     PISSN: 03760421     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.paerosci.2009.08.003     Document Type: Review

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