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» Evolution of Fitness Functions to Improve Heuristic Performa...
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ITSSA
2006
97views more  ITSSA 2006»
14 years 11 months ago
Service Evolution in Bio-Inspired Communication Systems
: An autonomic network must work unsupervised, therefore must be able to respond to unpredictable situations. The BIONETS project is working towards resilient network services that...
Daniele Miorandi, Lidia Yamamoto, Paolo Dini
GECCO
2003
Springer
117views Optimization» more  GECCO 2003»
15 years 4 months ago
Improving Evolvability of Genetic Parallel Programming Using Dynamic Sample Weighting
Abstract. This paper investigates the sample weighting effect on Genetic Parallel Programming (GPP) that evolves parallel programs to solve the training samples captured directly f...
Sin Man Cheang, Kin-Hong Lee, Kwong-Sak Leung
DATE
1997
IEEE
89views Hardware» more  DATE 1997»
15 years 3 months ago
Cone-based clustering heuristic for list-scheduling algorithms
List scheduling algorithms attempt to minimize latency under resource constraints using a priority list. We propose a new heuristic that can be used in conjunction with any priori...
Sriram Govindarajan, Ranga Vemuri
GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
15 years 3 months ago
Improving GP classifier generalization using a cluster separation metric
Genetic Programming offers freedom in the definition of the cost function that is unparalleled among supervised learning algorithms. However, this freedom goes largely unexploited...
Ashley George, Malcolm I. Heywood
94
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HEURISTICS
2008
170views more  HEURISTICS 2008»
14 years 11 months ago
Accelerating autonomous learning by using heuristic selection of actions
This paper investigates how to make improved action selection for online policy learning in robotic scenarios using reinforcement learning (RL) algorithms. Since finding control po...
Reinaldo A. C. Bianchi, Carlos H. C. Ribeiro, Anna...