This paper is concerned with a specific brand of evolutionary algorithms: Memetic algorithms. A new local search technique with an adaptive neighborhood setting process is introdu...
We consider a parallel decomposition technique for solving the large quadratic programs arising in training the learning methodology Support Vector Machine. At each iteration of th...
In this paper, we present a novel method for merging sets of computational patterns into a reconfigurable cell respecting design constraints and optimizing specific design aspects...
Christophe Wolinski, Krzysztof Kuchcinski, Erwan R...
This paper presents a method that offers a uniform treatment for bit-width optimisation of both fixed-point and floating-point designs. Our work utilises automatic differentiation...
Altaf Abdul Gaffar, Oskar Mencer, Wayne Luk, Peter...
When an evolutionary algorithm addresses a sequence of instances of the same problem, it can seed its population with solutions that it found for previous instances. This techniqu...