We introduce a metaheuristic framework for combinatorial optimization. Our framework is similar to others (e.g. [1]) in that it is modular enough that important components can be i...
: Bagging (Bootstrap Aggregating) has been proved to be a useful, effective and simple ensemble learning methodology. In generic bagging methods, all the classifiers which are trai...
Abstract. Multi-objective evolutionary algorithms (MOEAs) have proven to be a powerful tool for global optimization purposes of deterministic problem functions. Yet, in many real-w...
Abstract Within a framework of correct code-generation from HOLspecifications, we present a particular instance concerned with the optimized compilation of a lazy language (called...
Abstract - This paper describes an efficient graphbased method to optimize data-flow expressions for best hardware implementation. The method is based on factorization, common su...
Daniel Gomez-Prado, Q. Ren, Maciej J. Ciesielski, ...