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» Intelligent Optimization via Learnable Evolution Model
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JSAC
2010
138views more  JSAC 2010»
13 years 5 months ago
Dynamic conjectures in random access networks using bio-inspired learning
—Inspired by the biological entities’ ability to achieve reciprocity in the course of evolution, this paper considers a conjecture-based distributed learning approach that enab...
Yi Su, Mihaela van der Schaar
AIR
1998
103views more  AIR 1998»
13 years 7 months ago
Tackling Real-Coded Genetic Algorithms: Operators and Tools for Behavioural Analysis
Abstract. Genetic algorithms play a significant role, as search techniques for handling complex spaces, in many fields such as artificial intelligence, engineering, robotic, etc...
Francisco Herrera, Manuel Lozano, José L. V...
GECCO
2007
Springer
151views Optimization» more  GECCO 2007»
14 years 1 months ago
Dynamical blueprints: exploiting levels of system-environment interaction
Developmental systems typically produce a phenotype through a generative process whose outcome depends on feedback from the environment. In most artificial developmental systems, ...
Nicolás S. Estévez, Hod Lipson
GECCO
2005
Springer
100views Optimization» more  GECCO 2005»
14 years 26 days ago
Evolutionary tree genetic programming
We introduce a clustering-based method of subpopulation management in genetic programming (GP) called Evolutionary Tree Genetic Programming (ETGP). The biological motivation behin...
Ján Antolík, William H. Hsu
CIMCA
2005
IEEE
14 years 29 days ago
A Hybrid Estimation of Distribution Algorithm for the Minimal Switching Graph Problem
Minimal Switching Graph (MSG) is a graphical model for the constrained via minimization problem — a combinatorial optimization problem in integrated circuit design automation. F...
Maolin Tang, Raymond Y. K. Lau