Výsledky vyhledávání - "Lima, Cláudio F."

Report

Revisiting Evolutionary Algorithms with On-the-Fly Population Size Adjustment

Autor: Lobo, Fernando G., Lima, Claudio F.

In an evolutionary algorithm, the population has a very important role as its size has direct implications regarding solution quality, speed, and reliability. Theoretical studies have been done in the past to investigate the role of population sizing

Externí odkaz: http://arxiv.org/abs/cs/0602055

Zobrazit plný text záznamu

Report

On the utility of the multimodal problem generator for assessing the performance of Evolutionary Algorithms

Autor: Lobo, Fernando G., Lima, Claudio F.

This paper looks in detail at how an evolutionary algorithm attempts to solve instances from the multimodal problem generator. The paper shows that in order to consistently reach the global optimum, an evolutionary algorithm requires a population siz

Externí odkaz: http://arxiv.org/abs/cs/0602051

Zobrazit plný text záznamu

Report

An architecture for massive parallelization of the compact genetic algorithm

Autor: Lobo, Fernando G., Lima, Claudio F., Martires, Hugo

This paper presents an architecture which is suitable for a massive parallelization of the compact genetic algorithm. The resulting scheme has three major advantages. First, it has low synchronization costs. Second, it is fault tolerant, and third, i

Externí odkaz: http://arxiv.org/abs/cs/0402049

Zobrazit plný text záznamu

Report

Parameter-less Optimization with the Extended Compact Genetic Algorithm and Iterated Local Search

Autor: Lima, Claudio F., Lobo, Fernando G.

This paper presents a parameter-less optimization framework that uses the extended compact genetic algorithm (ECGA) and iterated local search (ILS), but is not restricted to these algorithms. The presented optimization algorithm (ILS+ECGA) comes as a

Externí odkaz: http://arxiv.org/abs/cs/0402047

Zobrazit plný text záznamu