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CEC
2007
IEEE
16 years 1 months ago
On performance metrics and particle swarm methods for dynamic multiobjective optimization problems
— This paper describes two performance measures for measuring an EMO (Evolutionary Multiobjective Optimization) algorithm’s ability to track a time-varying Paretofront in a dyn...
Xiaodong Li, Jürgen Branke, Michael Kirley
GECCO
2005
Springer
118views Optimization» more  GECCO 2005»
16 years 8 days ago
G2DGA: an adaptive framework for internet-based distributed genetic algorithms
The Internet is different from traditional parallel computing environments, and Distributed Genetic Algorithms (DGAs) for the Internet need to be designed to address these diffe...
Johan Berntsson
155
Voted
CDC
2008
IEEE
148views Control Systems» more  CDC 2008»
16 years 1 months ago
Distributed cut detection in sensor networks
— We propose a distributed algorithm to detect “cuts” in sensor networks, i.e., the failure of a set of nodes that separates the networks into two or more components. The alg...
Prabir Barooah
165
Voted
JCP
2008
133views more  JCP 2008»
15 years 6 months ago
DDSC : A Density Differentiated Spatial Clustering Technique
Finding clusters with widely differing sizes, shapes and densities in presence of noise and outliers is a challenging job. The DBSCAN is a versatile clustering algorithm that can f...
Bhogeswar Borah, Dhruba K. Bhattacharyya
EUROGP
2004
Springer
16 years 4 days ago
Constrained Molecular Dynamics as a Search and Optimization Tool
Abstract. In this paper we consider a new class of search and optimization algorithms inspired by molecular dynamics simulations in physics.
Riccardo Poli, Christopher R. Stephens