Applications of Evolutionary Algorithms for Solving Real-life Design Optimisation Problems
نویسندگان
چکیده
The aim of this paper is to present an application and a framework using evolutionary algorithms like Genetic algorithms (GA) for solving real-life design optimisation problems. The application is centred around an engineering optimisation toolbox applied to the design optimisation of gas turbine combustor. This toolbox can handle high-dimensional problems and ease the computational cost of simulation through a distributed evaluation of the solutions. The framework involves the development of a flexible optimisation toolbox for providing an integrated optimisation capability within the CAD/CAM environment.
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