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LION
2007
Springer
192views Optimization» more  LION 2007»
14 years 1 months ago
Learning While Optimizing an Unknown Fitness Surface
This paper is about Reinforcement Learning (RL) applied to online parameter tuning in Stochastic Local Search (SLS) methods. In particular a novel application of RL is considered i...
Roberto Battiti, Mauro Brunato, Paolo Campigotto
GECCO
2004
Springer
143views Optimization» more  GECCO 2004»
14 years 23 days ago
Efficient Clustering-Based Genetic Algorithms in Chemical Kinetic Modelling
Two efficient clustering-based genetic algorithms are developed for the optimisation of reaction rate parameters in chemical kinetic modelling. The genetic algorithms employed are ...
Lionel Elliott, Derek B. Ingham, Adrian G. Kyne, N...
HYBRID
2000
Springer
13 years 11 months ago
Computing Optimal Operation Schemes for Chemical Plants in Multi-batch Mode
We propose a computer-aided methodology to automatically generate time optimal production schemes for chemical batch plants operating in multi-batch mode. Our approach is based on ...
Peter Niebert, Sergio Yovine
GECCO
2003
Springer
124views Optimization» more  GECCO 2003»
14 years 18 days ago
Integrated Genetic Algorithm with Hill Climbing for Bandwidth Minimization Problem
In this paper, we propose an integrated Genetic Algorithm with Hill Climbing to solve the matrix bandwidth minimization problem, which is to reduce bandwidth by permuting rows and ...
Andrew Lim, Brian Rodrigues, Fei Xiao
EVOW
2006
Springer
13 years 11 months ago
A Memetic Algorithm with Bucket Elimination for the Still Life Problem
Abstract. Bucket elimination (BE) is an exact technique based on variable elimination, commonly used for solving constraint satisfaction problems. We consider the hybridization of ...
José E. Gallardo, Carlos Cotta, Antonio J. ...