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ISICA
2007
Springer
15 years 9 months ago
Fast Multi-swarm Optimization with Cauchy Mutation and Crossover Operation
The standard Particle Swarm Optimization (PSO) algorithm is a novel evolutionary algorithm in which each particle studies its own previous best solution and the group’s previous ...
Qing Zhang, Changhe Li, Yong Liu, Lishan Kang
DMIN
2007
203views Data Mining» more  DMIN 2007»
15 years 4 months ago
Evaluation of Feature Selection Techniques for Analysis of Functional MRI and EEG
— The application of feature selection techniques greatly reduces the computational cost of classifying highdimensional data. Feature selection algorithms of varying performance ...
Lauren Burrell, Otis Smart, George J. Georgoulas, ...
ICIP
2006
IEEE
16 years 4 months ago
Dead-End Elimination as a Heuristic for Min-Cut Image Segmentation
We apply the dead-end elimination (DEE) strategy from protein design as a heuristic for the max-flow/min-cut formulation of the image segmentation problem. DEE combines aspects of...
Mala L. Radhakrishnan, Sara L. Su
GECCO
2005
Springer
228views Optimization» more  GECCO 2005»
15 years 8 months ago
An effective use of crowding distance in multiobjective particle swarm optimization
In this paper, we present an approach that extends the Particle Swarm Optimization (PSO) algorithm to handle multiobjective optimization problems by incorporating the mechanism of...
Carlo R. Raquel, Prospero C. Naval Jr.
95
Voted
CEC
2007
IEEE
15 years 7 months ago
Optimizing low-thrust gravity assist interplanetary trajectories using evolutionary neurocontrollers
The combination of low-thrust propulsion and gravity assists allows designing high-energy missions. However the optimization of such trajectories is no trivial task. In this paper,...
I. Carnelli, B. Dachwald, M. Vasile