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» Investigating human-computer optimization
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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
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...
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GECCO
2004
Springer
117views Optimization» more  GECCO 2004»
15 years 8 months ago
Evaluating Evolutionary Testability with Software-Measurements
Test case design is the most important test activity with respect to test quality. For this reason, a large number of testing methods have been developed to assist the tester with ...
Frank Lammermann, André Baresel, Joachim We...
GECCO
2004
Springer
102views Optimization» more  GECCO 2004»
15 years 8 months ago
Dynamic and Scalable Evolutionary Data Mining: An Approach Based on a Self-Adaptive Multiple Expression Mechanism
Data mining has recently attracted attention as a set of efficient techniques that can discover patterns from huge data. More recent advancements in collecting massive evolving da...
Olfa Nasraoui, Carlos Rojas, Cesar Cardona
GECCO
2004
Springer
15 years 8 months ago
Limit Cycle Prediction in Multivariable Nonlinear Systems Using Genetic Algorithms
Abstract. This paper presents an intelligent method based on multiuobjective genetic algorithm (MOGA) for prediction of limit cycle in multivariable nonlinear systems. First we add...
Farzan Rashidi, Mehran Rashidi