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CEC
2003
IEEE
10 years 7 months ago
Comparing neural networks and Kriging for fitness approximation in evolutionary optimization
Neural networks and the Kriging method are compared for constructing £tness approximation models in evolutionary optimization algorithms. The two models are applied in an identica...
Lars Willmes, Thomas Bäck, Yaochu Jin, Bernha...
CEC
2003
IEEE
10 years 7 months ago
Transcription and evolution of a virtual bacteria culture
Abstract- This paper describes implementation details and results from a simulated multi-agent bacteria ecosystem. Each bacterium is encoded on a DNA-like genome, specifying the ge...
Ricardo M. Hoar, Joanne K. Penner, Christian Jacob
CEC
2003
IEEE
10 years 7 months ago
Learning DFA: evolution versus evidence driven state merging
Learning Deterministic Finite Automata (DFA) is a hard task that has been much studied within machine learning and evolutionary computation research. This paper presents a new met...
Simon M. Lucas, T. Jeff Reynolds
CEC
2003
IEEE
10 years 7 months ago
A new particle swarm optimiser for linearly constrained optimisation
A new PSO algorithm, the Linear PSO (LPSO), is developed to optimise functions constrained by linear constraints of the form Ax = b. A crucial property of the LPSO is that the poss...
Ulrich Paquet, Andries Petrus Engelbrecht
CEC
2003
IEEE
10 years 7 months ago
A note on general adaptation in populations of painting robots
A population of virtual robots is evolved to perform the task of competitively painting the floor of a toroidal room. Two robots are present in any given room and paint using dis...
Dan Ashlock, Elizabeth Blankenship, Jonathan Gandr...
CEC
2003
IEEE
10 years 7 months ago
Diversity analysis in cellular and multipopulation genetic programming
This paper presents a study that evaluates the influence of the parallel genetic programming (GP) models in maintaining diversity in a population. The parallel models used are the...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
CEC
2003
IEEE
10 years 7 months ago
Real-time adaptation technique to real robots: an experiment with a humanoid robot
We introduce a technique that allows a real robot to execute real-time learning, in which GP and RL are integrated. In our former research, we showed the result of an experiment wi...
Shotaro Kamio, Hitoshi Iba
CEC
2003
IEEE
10 years 7 months ago
Comparison of sampling sizes for the co-evolution of cooperative agents
Abstract -_The evolution of a heterogeneousteam behavior can he a very demanding task. In order to promote the greatest level of specialization team members should be evolved in se...
Gary B. Parker, H. Joseph Blumenthal
CEC
2003
IEEE
10 years 7 months ago
An evolutionary approach for reducing the switching activity in address buses
In this paper we present two new approaches based on genetic algorithms (GA) to reduce power consumption by communication buses in an embedded system. The first approach makes it ...
Giuseppe Ascia, Vincenzo Catania, Maurizio Palesi,...
CEC
2003
IEEE
10 years 7 months ago
Homology gives size control in genetic programming
Abstract- The Maximum Homologous Crossover attempts to preserve similar structures from parents by aligning them according to their homology. In this paper, it is successfully test...
Michael Defoin-Platel, Manuel Clergue, Philippe Co...
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