HAIS
2009
Springer
13 years 9 months ago
2009
Springer
The main purpose of this study is to find out a good solution to the vehicle routing problem considering heterogeneous vehicles. This problem tries to solve the generation of paths...
HAIS
2009
Springer
13 years 9 months ago
2009
Springer
This paper presents a novel stochastic optimization approach to solve constrained economic load dispatch (ELD) problem using Hybrid Bacterial Foraging-Differential Evolution optimi...
HAIS
2009
Springer
13 years 9 months ago
2009
Springer
A generic and extendible Multi-Agent Data Mining (MADM) framework, EMADS (the Extendible Multi-Agent Data mining System) is described. The central feature of the framework is that ...
HAIS
2009
Springer
13 years 9 months ago
2009
Springer
This paper presents a hybrid artificial intelligent solution that helps to automatically generate proposals, aimed at improving the internal states of organization units from a Kno...
HAIS
2009
Springer
13 years 9 months ago
2009
Springer
HAIS
2009
Springer
13 years 9 months ago
2009
Springer
Differential Evolution (DE) is a novel evolutionary approach capable of handling non-differentiable, non-linear and multi-modal objective functions. DE has been consistently ranked...
HAIS
2009
Springer
13 years 9 months ago
2009
Springer
This paper presents a hybrid evolutionary algorithm to tackle university course timetabling problems. The proposed approach is an extension of a non-linear great deluge algorithm i...
HAIS
2009
Springer
13 years 9 months ago
2009
Springer
The hybridization of heuristics methods aims at exploring the synergies among stand alone heuristics in order to achieve better results for the optimization problem under study. In...
HAIS
2009
Springer
13 years 9 months ago
2009
Springer
Developing models and methods to manage data vagueness is a current effervescent research field. Some work has been done with supervised problems but unsupervised problems and unce...
HAIS
2009
Springer
13 years 9 months ago
2009
Springer
In engineering design the use of approximation models (= surrogate models) has become standard practice for design space exploration, sensitivity analysis, visualization and optimi...