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» Function Optimization with Coevolutionary Algorithms
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GECCO
2009
Springer
138views Optimization» more  GECCO 2009»
14 years 4 months ago
Analysis of micro-behavior and bounded rationality in double auction markets using co-evolutionary GP
We investigate the dynamics of trader behaviors using a co-evolutionary genetic programming system to simulate a double-auction market. The objective of this study is twofold. Fir...
Shu-Heng Chen, Ren-Jie Zeng, Tina Yu
ATAL
2006
Springer
14 years 1 months ago
A novel method for automatic strategy acquisition in N-player non-zero-sum games
We present a novel method for automatically acquiring strategies for the double auction by combining evolutionary optimization together with a principled game-theoretic analysis. ...
Steve Phelps, Marek Marcinkiewicz, Simon Parsons
GECCO
2008
Springer
167views Optimization» more  GECCO 2008»
13 years 11 months ago
Using coevolution to understand and validate game balance in continuous games
We attack the problem of game balancing by using a coevolutionary algorithm to explore the space of possible game strategies and counter strategies. We define balanced games as g...
Ryan E. Leigh, Justin Schonfeld, Sushil J. Louis
GECCO
2006
Springer
123views Optimization» more  GECCO 2006»
14 years 1 months ago
The parallel Nash Memory for asymmetric games
Coevolutionary algorithms search for test cases as part of the search process. The resulting adaptive evaluation function takes away the need to define a fixed evaluation function...
Frans A. Oliehoek, Edwin D. de Jong, Nikos A. Vlas...
GPEM
2008
128views more  GPEM 2008»
13 years 9 months ago
Coevolutionary bid-based genetic programming for problem decomposition in classification
In this work a cooperative, bid-based, model for problem decomposition is proposed with application to discrete action domains such as classification. This represents a significan...
Peter Lichodzijewski, Malcolm I. Heywood