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» On Benchmarking Stochastic Global Optimization Algorithms
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GECCO
2009
Springer
131views Optimization» more  GECCO 2009»
15 years 7 months ago
Adaptive evolution: an efficient heuristic for global optimization
This paper presents a novel evolutionary approach to solve numerical optimization problems, called Adaptive Evolution (AEv). AEv is a new micro-population-like technique because i...
Francisco Viveros Jiménez, Efrén Mez...
ICCAD
2007
IEEE
281views Hardware» more  ICCAD 2007»
16 years 24 days ago
Archer: a history-driven global routing algorithm
Global routing is an important step in the physical design process. In this paper, we propose a new global routing algorithm Archer, which resolves some of the most common problem...
Muhammet Mustafa Ozdal, Martin D. F. Wong
DAGM
2007
Springer
15 years 10 months ago
Stochastic Optimization of Multiple Texture Registration Using Mutual Information
Abstract. We consider the problem of simultaneously registering several images to a 3D model. We propose a global approach based on mutual information that extends previous methods...
Ioan Cleju, Dietmar Saupe
CORR
2010
Springer
170views Education» more  CORR 2010»
15 years 4 months ago
Global Optimization for Value Function Approximation
Existing value function approximation methods have been successfully used in many applications, but they often lack useful a priori error bounds. We propose a new approximate bili...
Marek Petrik, Shlomo Zilberstein
CEC
2011
IEEE
14 years 3 months ago
On universal search strategies for multi-criteria optimization using weighted sums
—We develop a stochastic local search algorithm for finding Pareto points for multi-criteria optimization problems. The algorithm alternates between different single-criterium o...
Julien Legriel, Scott Cotton, Oded Maler