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ATAL
2007
Springer
14 years 2 months ago
A globally optimal algorithm for TTD-MDPs
In this paper, we discuss the use of Targeted Trajectory Distribution Markov Decision Processes (TTD-MDPs)—a variant of MDPs in which the goal is to realize a specified distrib...
Sooraj Bhat, David L. Roberts, Mark J. Nelson, Cha...
CEC
2007
IEEE
14 years 3 months ago
A Utile Function Optimizer
Abstract— We recast the problem of unconstrained continuous evolutionary optimization as inference in a fixed graphical model. This approach allows us to address several pervasi...
Christopher K. Monson, Kevin D. Seppi, James L. Ca...
TEC
2012
234views Formal Methods» more  TEC 2012»
11 years 11 months ago
Cooperatively Coevolving Particle Swarms for Large Scale Optimization
—This paper presents a new cooperative coevolving particle swarm optimization (CCPSO) algorithm in an attempt to address the issue of scaling up particle swarm optimization (PSO)...
Xiaodong Li, Xin Yao
ICCAD
2007
IEEE
96views Hardware» more  ICCAD 2007»
14 years 5 months ago
Monte-Carlo driven stochastic optimization framework for handling fabrication variability
Increasing effects of fabrication variability have inspired a growing interest in statistical techniques for design optimization. In this work, we propose a Monte-Carlo driven sto...
Vishal Khandelwal, Ankur Srivastava
GECCO
2005
Springer
126views Optimization» more  GECCO 2005»
14 years 2 months ago
Not all linear functions are equally difficult for the compact genetic algorithm
Estimation of distribution algorithms (EDAs) try to solve an optimization problem by finding a probability distribution focussed around its optima. For this purpose they conduct ...
Stefan Droste