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MEMETIC
2010
311views more  MEMETIC 2010»
13 years 12 days ago
Iterated local search with Powell's method: a memetic algorithm for continuous global optimization
In combinatorial solution spaces Iterated Local Search (ILS) turns out to be exceptionally successful. The question arises: is ILS also capable of improving the optimization proces...
Oliver Kramer
JCC
2008
166views more  JCC 2008»
13 years 5 months ago
Reference energy extremal optimization: A stochastic search algorithm applied to computational protein design
: We adapt a combinatorial optimization algorithm, extremal optimization (EO), for the search problem in computational protein design. This algorithm takes advantage of the knowled...
Naigong Zhang, Chen Zeng
ISDA
2008
IEEE
14 years 16 hour ago
Inertia-Adaptive Particle Swarm Optimizer for Improved Global Search
This paper describes a method for improving the final accuracy and the convergence speed of Particle Swarm Optimization (PSO) by adapting its inertia factor in the velocity updati...
Kaushik Suresh, Sayan Ghosh, Debarati Kundu, Abhir...
ANOR
2011
158views more  ANOR 2011»
13 years 20 days ago
Hybrid scatter tabu search for unconstrained global optimization
Abstract The problem of finding a global optimum of an unconstrained multimodal function has been the subject of intensive study in recent years, giving rise to valuable advances ...
Abraham Duarte, Rafael Martí, Fred Glover, ...
WSC
2004
13 years 7 months ago
Global Likelihood Optimization Via the Cross-Entropy Method, with an Application to Mixture Models
Global likelihood maximization is an important aspect of many statistical analyses. Often the likelihood function is highly multi-extremal. This presents a significant challenge t...
Zdravko I. Botev, Dirk P. Kroese