Relay node placement in energy-constrained networks using SOMA evolutionary algorithm
AIA'06 Proceedings of the 24th IASTED international conference on Artificial intelligence and applications
Efficient aerodynamic shape optimization in MDO context
Journal of Computational and Applied Mathematics
Innovative strategy of SOMA control parameter setting
NNECFSIC'12 Proceedings of the 12th WSEAS international conference on Neural networks, fuzzy systems, evolutionary computing & automation
Neural network synthesis via asynchronous analytic programming
NNECFSIC'12 Proceedings of the 12th WSEAS international conference on Neural networks, fuzzy systems, evolutionary computing & automation
ANN synthesis for an agglomeration heating power consumption approximation
ACMOS'11 Proceedings of the 13th WSEAS international conference on Automatic control, modelling & simulation
Neural network synthesis dealing with classification problem
ACMOS'11 Proceedings of the 13th WSEAS international conference on Automatic control, modelling & simulation
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Search for safety and high efficiency is the driving force in the aerospace industry. This paper reports on application of a relatively new and very promising evolutionary algorithm SOMA with the intent to answer the question on optimal wing geometry. We describe aerodynamic model of the wing, the evolutionary optimisation process and results we obtained. In this contribution present a modern, high performance global optimisation algorithm applied on real engineering application resulting into a set of evolutionary-designed wings which we developed in cooperation with a leading civil aircraft design bureau and manufacturer.