A MULTIOBJECTIVE INVESTIGATION OF 50-SEAT COMMUTER AIRCRAFT USING A GENETIC ALGORITHM

Aircraft conceptual design is a complex, multidisciplinary process. Often many decisions about the aircraft concept are made early on based on qualitative information subject to an engineer's experience and personal preferences. A genetic algorithm (GA) seeks to reduce the number of qualitative decisions required and increase the number of design variables that can be considered. Genetic algorithms are search methods based on the patterns of natural selection seen in biological populations. Because the GA is not a calculus based method, continuous, discrete, and integer design variables can be easily in a single run of the code. This feature allows the GA to combine concept selection with aircraft sizing. Multiobjective genetic algorithms can generate a large number of designs that approximate the Paretooptimal set in a single run of the code. A multiobjective GA is applied to a 50-seat commuter aircraft design problem. NOMENCLATURE

[1]  David H. Laananen,et al.  The Genetic Algorithm as an Automated Methodology for Helicopter Conceptual Design , 1997 .

[2]  William A. Crossley,et al.  Empirical studies of population size and parent mixing for a multiobjective genetic algorithm , 2000 .

[3]  T. L. Vincent,et al.  Optimality in parametric systems , 1981 .

[4]  D. E. Goldberg,et al.  Genetic Algorithms in Search , 1989 .

[5]  Bruce A Smith.  BOMBARDIER SET FOR CRJ-700 ROLLOUT , 1999 .

[6]  Yechiel Crispin.  Aircraft conceptual optimization using simulated evolution , 1994 .

[7]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[8]  William A. Crossley,et al.  Conceptual design of helicopters via genetic algorithm , 1996 .

[9]  Luciano Blasi,et al.  Conceptual Aircraft Design Based on a Multiconstraint Genetic Optimizer , 2000 .

[10]  Mark F. Bramlette,et al.  A Comparative Evaluation of Search Methods Applied to Parametric Design of Aircraft , 1989, ICGA.

[11]  Dolf Bos.  Multidisciplinary Design Optimization of a supersonic transport aircraft using a hybrid genetic/gradient-based algorithm , 1996 .

[12]  Yechiel Crispin.  Adaptive optimization of general aviation aircraft , 1992 .

[13]  William A. Crossley,et al.  COMMERCIAL TRANSPORT AIRCRAFT CONCEPTUAL DESIGN USING A GENETIC ALGORITHM BASED APPROACH , 1998 .

[14]  William A. Crossley,et al.  Using the Two-Branch Tournament Genetic Algorithm for Multiobjective Design , 1999 .

[15]  Daniel Raymer.  Vehicle scaling laws for multidisciplinary optimization (Preliminary report) , 2001 .

[16]  Kamran Behdinan,et al.  AIRCRAFT CONCEPTUAL DESIGN USING GENETIC ALGORITHMS , 2000 .