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GECCO
2004
Springer
145views Optimization» more  GECCO 2004»
15 years 8 months ago
Automated Extraction of Problem Structure
Most problems studied in artificial intelligence possess some form of structure, but a precise way to define such structure is so far lacking. We investigate how the notion of pr...
Anthony Bucci, Jordan B. Pollack, Edwin D. de Jong
126
Voted
GECCO
2004
Springer
212views Optimization» more  GECCO 2004»
15 years 8 months ago
An Evolutionary Autonomous Agent with Visual Cortex and Recurrent Spiking Columnar Neural Network
Spiking neural networks are computationally more powerful than conventional artificial neural networks. Although this fact should make them especially desirable for use in evoluti...
Rich Drewes, James B. Maciokas, Sushil J. Louis, P...
108
Voted
GECCO
2004
Springer
15 years 8 months ago
Shortcomings with Tree-Structured Edge Encodings for Neural Networks
In evolutionary algorithms a common method for encoding neural networks is to use a tree-structured assembly procedure for constructing them. Since node operators have difficulties...
Gregory Hornby
GECCO
2004
Springer
105views Optimization» more  GECCO 2004»
15 years 8 months ago
Evolution-Based Deliberative Planning for Cooperating Unmanned Ground Vehicles in a Dynamic Environment
Many challenges remain in the development of tactical planning systems that will enable automated, cooperative replanning of routes and mission assignments for multiple unmanned gr...
Talib S. Hussain, David J. Montana, Gordon Vidaver
121
Voted
GECCO
2004
Springer
151views Optimization» more  GECCO 2004»
15 years 8 months ago
Discovery of Human-Competitive Image Texture Feature Extraction Programs Using Genetic Programming
In this paper we show how genetic programming can be used to discover useful texture feature extraction algorithms. Grey level histograms of different textures are used as inputs ...
Brian T. Lam, Victor Ciesielski
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