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GECCO
2006
Springer
188views Optimization» more  GECCO 2006»
15 years 1 months ago
Dominance learning in diploid genetic algorithms for dynamic optimization problems
This paper proposes an adaptive dominance mechanism for diploidy genetic algorithms in dynamic environments. In this scheme, the genotype to phenotype mapping in each gene locus i...
Shengxiang Yang
GECCO
2009
Springer
141views Optimization» more  GECCO 2009»
15 years 4 months ago
Distributed hyper-heuristics for real parameter optimization
Hyper-heuristics (HHs) are heuristics that work with an arbitrary set of search operators or algorithms and combine these algorithms adaptively to achieve a better performance tha...
Marco Biazzini, Balázs Bánhelyi, Alb...
108
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JAIR
2002
163views more  JAIR 2002»
14 years 9 months ago
Efficient Reinforcement Learning Using Recursive Least-Squares Methods
The recursive least-squares (RLS) algorithm is one of the most well-known algorithms used in adaptive filtering, system identification and adaptive control. Its popularity is main...
Xin Xu, Hangen He, Dewen Hu
CIRA
2007
IEEE
274views Robotics» more  CIRA 2007»
15 years 3 months ago
Adaptive Object Tracking using Particle Swarm Optimization
—This paper presents an automatic object detection and tracking algorithm by using particle swarm optimization (PSO) based method, which is a searching algorithm inspired by the ...
Yuhua Zheng, Yan Meng
WSC
2008
14 years 11 months ago
A simulation based optimization algorithm for slack reduction and workforce scheduling
In an assembly line with high labor proportion, the workforce planning and scheduling is a very complex problem. At the background of increasing labor costs, it is very important ...
Daniel Noack, Oliver Rose