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» Directional self-learning of genetic algorithm
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EPS
1997
Springer
15 years 1 months ago
Performance-Enhanced Genetic Programming
Genetic Programming is increasing in popularity as the basis for a wide range of learning algorithms. However, the technique has to date only been successfully applied to modest t...
Chris Clack, Tina Yu
CEC
2005
IEEE
15 years 3 months ago
Genetic programming approach for fault modeling of electronic hardware
This paper presents two variants of Genetic Programming (GP) approaches for intelligent online performance monitoring of electronic circuits and systems. Reliability modeling of el...
Ajith Abraham, Crina Grosan
JUCS
2006
101views more  JUCS 2006»
14 years 9 months ago
DS/CDMA Multiuser Detection with Evolutionary Algorithms
This work analyses two heuristic algorithms based on the genetic evolution theory applied to direct sequence code division multiple access (DS/CDMA) communication systems. For diff...
Fernando Ciriaco, Taufik Abrão, Paul Jean E...
EC
2007
160views ECommerce» more  EC 2007»
14 years 9 months ago
Agent-Based Model of Genotype Editing
Evolutionary algorithms rarely deal with ontogenetic, non-inherited alteration of genetic information because they are based on a direct genotype-phenotype mapping. In contrast, i...
Chien-Feng Huang, Jasleen Kaur, Ana Gabriela Magui...
GECCO
2006
Springer
155views Optimization» more  GECCO 2006»
15 years 1 months ago
Comparison of genetic representation schemes for scheduling soft real-time parallel applications
This paper presents a hybrid technique that combines List Scheduling (LS) with Genetic Algorithms (GA) for constructing non-preemptive schedules for soft real-time parallel applic...
Yoginder S. Dandass, Amit C. Bugde