D.J.Doorly,J.Peiro, J.-P. Oesterle, "Optimisation of Aerodynamic and Coupled Aerodynamic-Structural Design Using Parallel Genetic Algorithms," in 6th AIAA/NASA/USAFMultidisciplinary Analysis & Optimization Symposium, AIAA Paper 96-4027, Bellevue, Seattle, WA, U.S.A., Sep. 1996.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....this problem. To this purpose, various ad hoc algorithms have been developed for parallel machines, most of which take advantage from splitting the population into multiple sub populations, showing results that are, on average, better than those of their serial, one population based, counterparts [1, 2]. Sub populations, in fact, may allow sometimes a better control on population diversity, reducing the appearance of premature convergence and genetic drift. However, although this approach can be easily and naturally implemented on parallel computers, it is not exclusive domain of such kind of ....

D.J.Doorly,J.Peiro, J.-P. Oesterle, "Optimisation of Aerodynamic and Coupled Aerodynamic-Structural Design Using Parallel Genetic Algorithms," in 6th AIAA/NASA/USAFMultidisciplinary Analysis & Optimization Symposium, AIAA Paper 96-4027, Bellevue, Seattle, WA, U.S.A., Sep. 1996.

....these kind of problems, avoiding the need of arbitrarily interrelating the di#erent design criteria into a single scalar objective function. Genetic algorithms have already been applied to the problem of planform wing design, taking into account aerodynamic and structural requirements. In Ref. [11] structural rigidity considerations are included in the optimization, but a single objective GA is used, with a selection of design variables which is not representative for a complete definition of the planform shape. In Ref. 12] non planar wing shapes are allowed to maximize the L D ratio with ....

Doorly, D. J., Peiro, J., and Oesterle, J.- P., "Optimisation of Aerodynamic and Coupled Aerodynamic-Structural Design Using Parallel Genetic Algorithms", in 6th AIAA/NASA/USAF Multidisciplinary Analysis & Optimization Symposium, AIAA Paper 96-4027, Bellevue, Seattle, WA, U.S.A., Sep. 1996.

....for the preliminary design of wings; their conclusion is that GAs promise to be a useful tool for the exploration of difficult design domains like the one examined. Very recently Parallel versions for GAs have been successfully applied to Aerofoil Optimisation and to Wing Optimisation as well [DPO]. As it results from the above examples, the classical binary GAs are being more and more often used as an optimisation means in aerofoil design. To evaluate the effectiveness of GAs usage in Aerofoil Design a brand new binary EA, M EA, based on co mutation operator only, is applied to this ....

D. J. Doorly, J. Peiro' and J-P. Oesterle, "Optimisation of Aerodynamic and Coupled Aerodynamic--Structural Design using Parallel Genetic Algorithms", in Proceedings of the Sixth AIAA/NASA/USAF Multidiscipliary Analysis and Optimization Symposium, September 4--6, Seattle, WA, USA, 1996, AIAA Paper 96-- 4027, 1996.

....only for the fitness evaluation, typically the flow solution. 3 The Distributed Genetic Algorithm Studies (e.g. 6] have shown that the DGA outperforms the conventional GA, in a variety of applications; work to date suggests this also holds for CFD optimisation [2] Details are already given in [11]; briefly however, the single well mixed population of the basic GA is replaced by a distributed set of subpopulations or demes. The demes are considered analogous to island populations, where the geography acts as a barrier to exchange) Restrictions are imposed on the recombination and genetic ....

.... of the convergence behaviour obtained using a parallel and a conventional GA, with the same total population and number of evaluations, for the inverse design of a NACA airfoil (with direct surface encoding and a simple panel solution) is given in [2] and for viscous inverse design in [11]. The size of the sequential GA population for each of these cases equalled the sum of the DGA populations, so equivalent computational work was done by each. The migration between the islands occurred in a stepping stone fashion, i.e. migration occurred only between immediate neighbours. 4 ....

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Doorly D J, Peir'o J, and Oesterle J-P, Optimisation of Aerodynamic and Coupled Aerodynamic-Structural Design using Parallel Genetic Algorithms, in Proc. Sixth AIAA/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, 401-- 409, 1996.

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