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CEC
2007
IEEE
15 years 6 months ago
How well do multi-objective evolutionary algorithms scale to large problems
Abstract— In spite of large amount of research work in multiobjective evolutionary algorithms, most have evaluated their algorithms on problems with only two to four objectives. ...
Kata Praditwong, Xin Yao
GECCO
2005
Springer
130views Optimization» more  GECCO 2005»
15 years 5 months ago
Quality-time analysis of multi-objective evolutionary algorithms
A quality-time analysis of multi-objective evolutionary algorithms (MOEAs) based on schema theorem and building blocks hypothesis is developed. A bicriteria OneMax problem, a hypo...
Jian-Hung Chen, Shinn-Ying Ho, David E. Goldberg
ISCAS
2008
IEEE
135views Hardware» more  ISCAS 2008»
15 years 6 months ago
A new structure for sound reproduction system
Abstract— A novel structure with direct inversion of a multipleinput multiple-output (MIMO) system is proposed in this paper. Based on this structure, 2 adaptive algorithms, LMS-...
Ligang Liu, Masahiro Fukumoto, Sachio Saiki
JOTA
2010
117views more  JOTA 2010»
14 years 10 months ago
Distributed Stochastic Subgradient Projection Algorithms for Convex Optimization
We consider a distributed multi-agent network system where the goal is to minimize a sum of agent objective functions subject to a common set of constraints. For this problem, we p...
S. Sundhar Ram, Angelia Nedic, Venugopal V. Veerav...
NIPS
2007
15 years 1 months ago
Incremental Natural Actor-Critic Algorithms
We present four new reinforcement learning algorithms based on actor-critic and natural-gradient ideas, and provide their convergence proofs. Actor-critic reinforcement learning m...
Shalabh Bhatnagar, Richard S. Sutton, Mohammad Gha...