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GECCO
2008
Springer
178views Optimization» more  GECCO 2008»
15 years 7 months ago
Agent Smith: a real-time game-playing agent for interactive dynamic games
The goal of this project is to develop an agent capable of learning and behaving autonomously and making decisions quickly in a dynamic environment. The agent’s environment is a...
Ryan K. Small
JUCS
2007
208views more  JUCS 2007»
15 years 6 months ago
The Architecture and Circuital Implementation Scheme of a New Cell Neural Network for Analog Signal Processing
: It is a difficult problem that using cellular neural network to make up of analog signal processing circuit. This paper presented the architecture of new cellular neural network ...
Youren Wang, Zhiqiang Zhang, Jiang Cui
GECCO
2011
Springer
264views Optimization» more  GECCO 2011»
14 years 9 months ago
Critical factors in the performance of novelty search
Novelty search is a recently proposed method for evolutionary computation designed to avoid the problem of deception, in which the fitness function guides the search process away...
Steijn Kistemaker, Shimon Whiteson
IWSOS
2011
Springer
14 years 9 months ago
Evolving Self-organizing Cellular Automata Based on Neural Network Genotypes
Abstract This paper depicts and evaluates an evolutionary design process for generating a complex self-organizing multicellular system based on Cellular Automata (CA). We extend th...
Wilfried Elmenreich, István Fehérv&a...
EVOW
2009
Springer
16 years 1 months ago
A Memetic Algorithm for Phylogenetic Reconstruction with Maximum Parsimony
The Maximum Parsimony problem aims at reconstructing a phylogenetic tree from DNA, RNA or protein sequences while minimizing the number of evolutionary changes. Much work has been ...
Jean-Michel Richer, Adrien Goëffon, Jin-Kao H...