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GECCO
2004
Springer
212views Optimization» more  GECCO 2004»
16 years 20 days 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...
164
Voted
GECCO
2004
Springer
16 years 20 days ago
A Systematic Study of Genetic Algorithms with Genotype Editing
Abstract. This paper continues our systematic study of an RNAediting computational model of Genetic Algorithms (GA). This model is constructed based on several genetic editing char...
Chien-Feng Huang, Luis Mateus Rocha
GECCO
2004
Springer
116views Optimization» more  GECCO 2004»
16 years 20 days ago
Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles
Abstract. In many real-world applications of evolutionary computation, it is essential to reduce the number of fitness evaluations. To this end, computationally efficient models c...
Yaochu Jin, Bernhard Sendhoff
194
Voted
GI
2004
Springer
16 years 20 days ago
A Formal Correctness Proof for Code Generation from SSA Form in Isabelle/HOL
Abstract: Optimizations in compilers are the most error-prone phases in the compilation process. Since correct compilers are a vital precondition for software correctness, it is ne...
Jan Olaf Blech, Sabine Glesner
214
Voted
GRID
2004
Springer
16 years 20 days ago
Design and Analysis of a Dynamic Scheduling Strategy with Resource Estimation for Large-Scale Grid Systems
In this paper, we present a resource conscious dynamic scheduling strategy for handling large volume computationally intensive loads in a Grid system involving multiple sources an...
Sivakumar Viswanathan, Bharadwaj Veeravalli, Danto...
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