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125
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GECCO
2003
Springer
130views Optimization» more  GECCO 2003»
15 years 9 months ago
A New Approach to Improve Particle Swarm Optimization
Abstract. Particle swarm optimization (PSO) is a new evolutionary computation technique. Although PSO algorithm possesses many attractive properties, the methods of selecting inert...
Liping Zhang, Huanjun Yu, Shangxu Hu
119
Voted
EVOW
2006
Springer
15 years 7 months ago
A Multiagent Algorithm for Graph Partitioning
The k-cut problem is an NP-complete problem which consists of finding a partition of a graph into k balanced parts such that the number of cut edges is minimized. Different algori...
Francesc Comellas, Emili Sapena
128
Voted
EVOW
2006
Springer
15 years 7 months ago
A Memetic Algorithm with Bucket Elimination for the Still Life Problem
Abstract. Bucket elimination (BE) is an exact technique based on variable elimination, commonly used for solving constraint satisfaction problems. We consider the hybridization of ...
José E. Gallardo, Carlos Cotta, Antonio J. ...
139
Voted
ESANN
2007
15 years 5 months ago
Adaptive Global Metamodeling with Neural Networks
Due to the scale and computational complexity of current simulation codes, metamodels (or surrogate models) have become indispensable tools for exploring and understanding the desi...
Dirk Gorissen, Wouter Hendrickx, Tom Dhaene
114
Voted
GECCO
2010
Springer
140views Optimization» more  GECCO 2010»
15 years 3 months ago
Shared memory genetic algorithms in a multi-agent context
In this paper we present a concurrent implementation of genetic algorithms designed for shared memory architectures intended to take advantage of multi-core processor platforms. O...
Dana Vrajitoru