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GECCO
2007
Springer
151views Optimization» more  GECCO 2007»
14 years 1 months ago
Solving real-valued optimisation problems using cartesian genetic programming
Classical Evolutionary Programming (CEP) and Fast Evolutionary Programming (FEP) have been applied to realvalued function optimisation. Both of these techniques directly evolve th...
James Alfred Walker, Julian Francis Miller
GECCO
2004
Springer
155views Optimization» more  GECCO 2004»
14 years 1 months ago
Genetic Network Programming with Reinforcement Learning and Its Performance Evaluation
A new graph-based evolutionary algorithm named “Genetic Network Programming, GNP” has been proposed. GNP represents its solutions as directed graph structures, which can improv...
Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
GECCO
2008
Springer
257views Optimization» more  GECCO 2008»
13 years 8 months ago
Rapid evaluation and evolution of neural models using graphics card hardware
This paper compares three common evolutionary algorithms and our modified GA, a Distributed Adaptive Genetic Algorithm (DAGA). The optimal approach is sought to adapt, in near rea...
Thomas F. Clayton, Leena N. Patel, Gareth Leng, Al...
IEEEARES
2007
IEEE
14 years 2 months ago
Near Optimal Protection Strategies Against Targeted Attacks on the Core Node of a Network
The issue of information security has attracted increasing attention in recent years. In network attack and defense scenarios, attackers and defenders constantly change their resp...
Frank Yeong-Sung Lin, Po-Hao Tsang, Yi-Luen Lin
EUROGP
2007
Springer
104views Optimization» more  EUROGP 2007»
14 years 1 months ago
Code Regulation in Open Ended Evolution
We explore a homeostatic approach to program execution in computer systems: the “concentration” of computation services is regulated according to their fitness. The goal is to...
Lidia Yamamoto