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SMC
2007
IEEE
102views Control Systems» more  SMC 2007»
16 years 1 months ago
An improved immune Q-learning algorithm
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
Zhengqiao Ji, Q. M. Jonathan Wu, Maher A. Sid-Ahme...
EMO
2005
Springer
76views Optimization» more  EMO 2005»
16 years 10 days ago
Photonic Device Design Using Multiobjective Evolutionary Algorithms
Abstract. The optimization and design of two different types of photonic devices - a Fibre Bragg Grating and a Microstructured Polymer Optical Fibre is presented in light of multi...
Steven Manos, Leon Poladian, Peter J. Bentley, Mar...
GECCO
2003
Springer
109views Optimization» more  GECCO 2003»
16 years 1 days ago
Real Royal Road Functions for Constant Population Size
Evolutionary and genetic algorithms (EAs and GAs) are quite successful randomized function optimizers. This success is mainly based on the interaction of different operators like ...
Tobias Storch, Ingo Wegener
ICRA
2002
IEEE
105views Robotics» more  ICRA 2002»
15 years 11 months ago
Learning Behavioral Parameterization using Spatio-Temporal Case-Based Reasoning
This paper presents an approach to learning an optimal behavioral parameterization in the framework of a Case-Based Reasoning methodology for autonomous navigation tasks. It is ba...
Maxim Likhachev, Michael Kaess, Ronald C. Arkin
DATE
2000
IEEE
124views Hardware» more  DATE 2000»
15 years 11 months ago
On the Generation of Multiplexer Circuits for Pass Transistor Logic
Pass Transistor Logic has attracted more and more interest during last years, since it has proved to be an attractive alternative to static CMOS designs with respect to area, perf...
Christoph Scholl, Bernd Becker