Sciweavers

IWANN
2001
Springer
13 years 9 months ago
Evolving RBF Neural Networks
This paper is focused on determining the parameters of radial basis function neural networks (number of neurons, and their respective centers and radii) automatically. While this ...
Víctor Manuel Rivas Santos, Pedro A. Castil...
EMO
2001
Springer
152views Optimization» more  EMO 2001»
13 years 9 months ago
Multi-objective Design Space Exploration of Road Trains with Evolutionary Algorithms
This paper examines the road train concept as a new alternative in long-distance freight traffic. The design of such a system is a difficult task since many different and conflicti...
Nando Laumanns, Marco Laumanns, Dirk Neunzig
EMO
2001
Springer
132views Optimization» more  EMO 2001»
13 years 9 months ago
Multi-objective Evolutionary Design of Fuzzy Autopilot Controller
Abstract. A multi-objective evolutionary algorithm is used to determine the membership function distribution within the outer loop control system of a non-linear missile autopilot ...
Anna L. Blumel, Evan J. Hughes, Brian A. White
GECCO
2009
Springer
199views Optimization» more  GECCO 2009»
13 years 9 months ago
Using behavioral exploration objectives to solve deceptive problems in neuro-evolution
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
Jean-Baptiste Mouret, Stéphane Doncieux
EVOW
2009
Springer
13 years 9 months ago
Evolutionary Freight Transportation Planning
In this paper, we present the freight transportation planning component of the INWEST project. This system utilizes an evolutionary algorithm with intelligent search operations in ...
Thomas Weise, Alexander Podlich, Kai Reinhard, Chr...
GECCO
2003
Springer
160views Optimization» more  GECCO 2003»
13 years 9 months ago
Hybridization of Estimation of Distribution Algorithms with a Repair Method for Solving Constraint Satisfaction Problems
Estimation of Distribution Algorithms (EDAs) are new promising methods in the field of genetic and evolutionary algorithms. In the case of conventional Genetic and Evolutionary Al...
Hisashi Handa
EPIA
2003
Springer
13 years 9 months ago
Evolutionary Neuroestimation of Fitness Functions
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 ...
Jesús S. Aguilar-Ruiz, Daniel Mateos, Domin...
EMO
2003
Springer
109views Optimization» more  EMO 2003»
13 years 9 months ago
A Population and Interval Constraint Propagation Algorithm
We present PICPA, a new algorithm for tackling constrained continuous multi-objective problems. The algorithm combines constraint propagation techniques and evolutionary concepts. ...
Vincent Barichard, Jin-Kao Hao
IEEEICCI
2003
IEEE
13 years 9 months ago
Automatic Concept Evolution
An evolutionary algorithm can be used by a distributed group of interacting people to produce the solution to a problem. First the problem must be defined. Each member of the grou...
Terence C. Fogarty
ICDAR
2003
IEEE
13 years 9 months ago
An Evolutionary Algorithm for General Symbol Segmentation
A new system is presented for general symbol segmentation, which is applicable for segmentation of any connected string of symbols, including characters and line diagrams. Using a...
Stephen Pearce, Maher Ahmed