In this paper, simultaneous inverse prediction of two parameters such as the porosity and
thermal diffusivity of the fluid in a porous fin is done for satisfying a given temperature …

This paper proposes a new differential evolution (DE) algorithm for unconstrained
continuous optimisation problems, termed μ μ JADE, that uses a small or 'micro'(μ μ) …

Differential evolution (DE) algorithm suffers from high computational time due to slow nature
of evaluation. Micro-DE (MDE) algorithms utilize a very small population size, which can …

A new differential evolution algorithm for single objective optimization is presented in this
paper. The proposed algorithm uses a self-adaptation mechanism for parameter control …

In the automotive industry, a Control Engineer must design a unique control law that is then
tested and validated on a single prototype with a level of reliability high enough to to meet a …

Differential evolution (DE) algorithm with a small population size is called Micro-DE (MDE).
A small population size decreases the computational complexity but also reduces the …

Dans l'industrie, l'automaticien doit concevoir une loi de commande unique pour satisfaire
un cahier des charges complexe sur un grand nombre de systèmes. Pour cela, en fonction …

A highly competitive micro evolutionary algorithm to solve unconstrained optimization
problems called μJADE (micro adaptive differential evolution), is adapted to deal with …

Micro differential evolution (mDE) refers to algorithms that evolve with a small population to
search for good solutions. Although mDEs are very useful for resource-constrained …

This work deals with the Perturbed Differential Evolution (PDE) algorithm, an extension of
the Differential Evolution (DE) algorithm. By perturbing each mutant generated in the …