Fruit Fly Optimization Algorithm (FOA) is a new global optimization algorithm inspired by the foraging behavior of fruit fly swarm.
Fruit Fly Optimization Algorithm (FOA) is a new global optimization algorithm inspired by the foraging behavior of fruit fly swarm.
A normal cloud model based fruit fly optimization algorithm is extended for multi-objective optimization. The normal cloud model is used to produce new food ...
The CMFOA [21] can reflect the fuzziness and randomness of the updated foraging location of individual fruit fly by a normal cloud generator instead of the ...
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Numerical simulation results demonstrate that CMMOFOA can converge to the Pareto fronts of the test problems with good accuracy and distribution, ...
Abstract. In order to overcome the demerits of fruit fly optimization algorithm (FOA), such as easily relapsing into local optimum and unstable results ...
In this paper, a Cloud Model based Fruit Fly Optimization Algorithm (CMFOA) is presented for structural damage identification, which is a global ...
Fruit Fly Optimization Algorithm (FOA) is a new global optimization algorithm inspired by the foraging behavior of fruit fly swarm.
Oct 8, 2015 · The Fruit Fly Optimization Algorithm (FOA) is one of the latest swarm intelligence-based methods inspired by the foraging behavior of fruit ...
The objectives of this research were to determine attenuation coefficient of arumanis mangoes, to develop border equation prediction and to validate the ...