2174 search results - page 386 / 435 » On the Brittleness of Evolutionary Algorithms |
GECCO
2007
Springer
15 years 6 months ago
2007
Springer
In this paper, we propose the combination of different optimization techniques in order to solve “hard” two- and threeobjective optimization problems at a relatively low comp...
GECCO
2007
Springer
15 years 6 months ago
2007
Springer
The problem of how to acquire a model of a physical robot, which is fit for evolution of controllers that can subsequently be used to control that robot, is considered in the con...
GECCO
2007
Springer
15 years 6 months ago
2007
Springer
In previous work [8] a computational framework was demonstrated that allows a mobile robot to autonomously evolve models its own body for the purposes of adaptive behavior generat...
GECCO
2007
Springer
15 years 6 months ago
2007
Springer
A series of evolutionary neural network simulations are presented which explore the hypothesis that learning factors can result in the evolution of long periods of parental protec...
GECCO
2007
Springer
15 years 6 months ago
2007
Springer
This paper introduces a new variety of learning classifier system (LCS), called MILCS, which utilizes mutual information as fitness feedback. Unlike most LCSs, MILCS is specifical...