416 search results - page 22 / 84 » Parallel evolutionary training algorithms for |
PDCN
2004
13 years 9 months ago
2004
It is well-known that the time and memory necessary to create a codebook from large training databases have hindered the vector quantization based systems for real applications. T...
EPIA
2003
Springer
14 years 22 days ago
2003
Springer
Abstract. One of the most influential factors in the quality of the solutions found by an evolutionary algorithm is the appropriateness of the fitness function. Specifically in ...
ICANN
2010
Springer
13 years 4 months ago
2010
Springer
The aim of this paper is to study the use of Evolutionary Multiobjective Techniques to improve the performance of Neural Networks (NN). In particular, we will focus on classificati...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
Multiobjective evolutionary algorithms (MOEA) are an effective tool for solving search and optimization problems containing several incommensurable and possibly conflicting objec...
EC
2000
13 years 7 months ago
2000
In this paper, we provide a systematic comparison of various evolutionary approaches to multiobjective optimization using six carefully chosen test functions. Each test function i...