Aerodynamic design algorithms require an optimization strategy to search for the best design. The object of this paper is to compare the performance of some different strategies when used by an aerodynamic shape optimization routine which designs fan blade shapes. A recently developed genetic algorithm, Differential Evolution [1,2], outperforms more traditional techniques.

This work describes about the synthesis of the flat top power pattern of linear antenna array using differential evolution (DE) algorithm as an optimizing algorithm. In this work a flat top beam pattern of sharp transition (T), low Side Lobe Level (SLL) and very little ripple (R) has been achieved. To reduce the design cost of the feed network of the synthesized pattern, only the complex excita...

This paper proposes a method which combines a clustering technique with asset allocation methods, to improve portfolio Sharpe ratios and weights stability. The portfolio weights are computed based on cluster members and cluster portfolios, which are decided by an optimal cluster pattern. The optimized cluster pattern tells the belonging of assets to particular clusters, which is identified by u...

The radiative transfer phenomenon is modeled by an integro-differential equation known as Boltzmann equation. This equation describes mathematically the interaction of the radiation with the participating medium, i.e., a medium that may absorb, scatter and emit radiation. In this sense, this work presents a study regarding the estimation of radiative properties in a one-dimensional participatin...

In this paper, a newly-proposed algorithm based on 3-Parents Differential Evolution (3PDE) is implemented to be self-adapted for the only control parameter of scaling factor, F. It is called 3Parents DE with Self-adaptive Scaling Factor (SaFDE). The performance of this proposed algorithm is compared against to the original Differential Evolution (DE). In this paper, 50 runs are conducted for ev...

An extension for the Differential Evolution algorithm is proposed for handling nonlinear constraint functions. In comparison with the original algorithm, only the replacement criterion was modified for handling the constraints. In this article the proposed method is described and demonstrated by solving a suite of ten well-known test problems.

This paper present a hybrid method of Newton method, Differential Evolution Algorithm (DE) and Cooperative Coevolution Algorithm (CCA). The proposed method is used to solve the optimisation problem in optimise the production of biochemical systems. The problems are maximising the biochemical systems production and simultaneously minimising the total amount of chemical reaction concentration inv...

It is regularly to optimization of temperature and feeding profiles in batch process for several objectives and constraints. A temperature profile is applied to drive the process so as to obey certain constraints during the beer fermentation. The design of this temperature profile is an optimization problem where the objective is to minimize the operation time and optimize the quality of beer. ...

Differential evolution algorithm has been widely used, because of its efficient optimization and no complex operation and coding mechanism. But DE falls into the local optimum easily. So this study puts forward a memetic algorithm. The algorithm can increase the diversity of population and jump out the local extreme value point effectively. The convergence speed of the algorithm is improved, be...

The differential evolution algorithm has been widely applied on unmanned aerial vehicle (UAV) path planning. At present, four random tuning parameters exist for differential evolution algorithm, namely, population size, differential weight, crossover, and generation number. These tuning parameters are required, together with user setting on path and computational cost weightage. However, the op...