EC
2008
13 years 5 months ago
2008
Abstract-- This paper presents a method for creating evaluation functions that efficiently promote coordination in a multiagent system, allowing single-agent evolutionary computati...
CEC
2010
IEEE
13 years 5 months ago
2010
IEEE
Abstract— Locality - how well neighbouring genotypes correspond to neighbouring phenotypes - has been described as a key element in Evolutionary Computation. Grammatical Evolutio...
GECCO
2008
Springer
13 years 6 months ago
2008
Springer
This note is best described as a ‘Research Challenge’, and concerns building an ultra high frequency (UHF) trading system. The emphasis is on addressing the problems posed by ...
CEC
2010
IEEE
13 years 6 months ago
2010
IEEE
The TORCS Endurance World Championship is an international competition in which programmers develop and tune their drivers to race against each other using TORCS, a state-of-the-ar...
IIS
2000
13 years 6 months ago
2000
This paper reports briefly on the development of a new approach to evolutionary computation, called the Learnable Evolution Model or LEM. In contrast to conventional Darwinian-typ...
AAAI
2000
13 years 6 months ago
2000
A new approach to evolutionary computation, called Learnable Evolution Model (LEM), has been applied to the problem of optimizing tube structures of heat exchangers. In contrast t...
IJCAI
2003
13 years 6 months ago
2003
Evolutionary computation is a useful technique for learning behaviors in multiagent systems. Among the several types of evolutionary computation, one natural and popular method is...
EVOW
2010
Springer
13 years 8 months ago
2010
Springer
Divide-and-Evolve (DaE) is an original "memeticization" of Evolutionary Computation and Artificial Intelligence Planning. DaE optimizes either the number of actions, or t...
ECAL
1995
Springer
13 years 8 months ago
1995
Springer
After an outline of the history of evolutionary algorithms, a new ( ) variant of the evolution strategies is introduced formally. Though not comprising all degrees of freedom, it i...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
1 Learnable Evolution Model (LEM) is a form of non-Darwinian evolutionary computation that employs machine learning to guide evolutionary processes. Its main novelty are new type o...