GECCO
2003
Springer
14 years 3 months ago
2003
Springer
Abstract. This paper shows how the presence of states in test objects can hinder or render impossible the search for test data using evolutionary testing. Additional guidance is re...
GECCO
2003
Springer
14 years 3 months ago
2003
Springer
With the exception of a small body of adaptive-parameter literature, evolutionary computation has traditionally favored keeping the population size constant through the course of t...
GECCO
2003
Springer
14 years 3 months ago
2003
Springer
GECCO
2003
Springer
14 years 3 months ago
2003
Springer
Abstract. Many multi-robot systems are heterogeneous cooperative systems, systems consisting of different species of robots cooperating with each other to achieve a common goal. T...
GECCO
2003
Springer
14 years 3 months ago
2003
Springer
Abstract. In this paper, we review some classical recombination operations and devise new heuristic recombinations for the fixed-length subset. Our experimental results on the cla...
GECCO
2003
Springer
14 years 3 months ago
2003
Springer
In this paper, we propose an integrated Genetic Algorithm with Hill Climbing to solve the matrix bandwidth minimization problem, which is to reduce bandwidth by permuting rows and ...
GECCO
2003
Springer
14 years 3 months ago
2003
Springer
Abstract. In this paper, we propose a new ant-based clustering algorithm called AntClust. It is inspired from the chemical recognition system of ants. In this system, the continuou...
GECCO
2003
Springer
14 years 3 months ago
2003
Springer
We propose a neuro-genetic daily stock prediction model. Traditional indicators of stock prediction are utilized to produce useful input features of neural networks. The genetic al...
GECCO
2003
Springer
14 years 3 months ago
2003
Springer
The tip position control of a single-link flexible manipulator is considered in this paper. The cross-sectional dimension of the manipulator is tuned by genetic algorithms such th...
GECCO
2003
Springer
14 years 3 months ago
2003
Springer
Abstract. This paper introduces a new technique called adaptive elitistpopulation search method for allowing unimodal function optimization methods to be extended to efficiently lo...