We consider the problem of image deconvolution. We foccus on a Bayesian approach which consists of maximizing an energy obtained by a Markov Random Field modeling. MRFs are classi...
This paper concerns the search for optimal or nearly optimal batting orders in one-day cricket. A search is conducted over the space of permutations of batting orders where simula...
Tim B. Swartz, Paramjit S. Gill, David Beaudoin, B...
We discuss a theory for a realistic, applicable scaled genetic algorithm (GA) which converges asymptoticly to global optima in a coevolutionary setting involving two species. It is...
The paper presents two heuristics for hardware/software partitioning of system level specifications. The main objective is to achieve performance optimization with a limited hardw...
Petru Eles, Zebo Peng, Krzysztof Kuchcinski, Alex ...
—Ant colony optimization (ACO) is a probabilistic technique used for solving complex computational problems, such as finding optimal routes in networks. It has been proved to pe...