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LION
2007
Springer
192views Optimization» more  LION 2007»
16 years 15 days 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
AMEC
2003
Springer
15 years 11 months ago
Automated Negotiation and Bundling of Information Goods
In this paper, we present a novel system for selling bundles of news items. Through the system, customers bargain with the seller over the price and quality of the delivered goods...
D. J. A. Somefun, Enrico Gerding, Sander M. Bohte,...
GECCO
2008
Springer
157views Optimization» more  GECCO 2008»
15 years 7 months ago
Self-adaptive mutation rates in genetic algorithm for inverse design of cellular automata
Self-adaptation is used a lot in Evolutionary Strategies and with great success, yet for some reason it is not the mutation adaptation of choice for Genetic Algorithms. This poste...
Ron Breukelaar, Thomas Bäck
ICIP
2007
IEEE
16 years 18 days ago
Software Pipelines Design for Variable Block-Size Motion Estimation with Large Search Range
This paper presents some techniques for efficient motion estimation (ME) implementation on fixed-point digital signal processor (DSP) for high resolution video coding. First, chal...
Zhigang Yang, Wen Gao, Yan Liu, Debin Zhao
CEC
2010
IEEE
15 years 6 months ago
Sequential DE enhanced by neighborhood search for Large Scale Global Optimization
— In this paper, the performance of a sequential Differential Evolution (DE) enhanced by neighborhood search (SDENS) is reported on the set of benchmark functions provided for th...
Hui Wang, Zhijian Wu, Shahryar Rahnamayan, Dazhi J...