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» On the Brittleness of Evolutionary Algorithms
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DATE
2008
IEEE
134views Hardware» more  DATE 2008»
16 years 26 days ago
Scalable Architecture for on-Chip Neural Network Training using Swarm Intelligence
This paper presents a novel architecture for on-chip neural network training using particle swarm optimization (PSO). PSO is an evolutionary optimization algorithm with a growing ...
Amin Farmahini Farahani, Seid Mehdi Fakhraie, Saee...
ICPR
2008
IEEE
16 years 25 days ago
Multimodal biometrics management using adaptive score-level combination
This paper presents a new evolutionary approach for adaptive combination of multiple biometrics to dynamically ensure the performance for the desired level of security. The adapti...
Ajay Kumar, Vivek Kanhangad, David Zhang
CEC
2007
IEEE
16 years 22 days 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
AE
2007
Springer
16 years 17 days ago
Automatic Design of Vision-Based Obstacle Avoidance Controllers Using Genetic Programming
The work presented in this paper is part of the development of a robotic system able to learn context dependent visual clues to navigate in its environment. We focus on the obstacl...
Renaud Barate, Antoine Manzanera
EVOW
2007
Springer
16 years 16 days ago
Triggered Memory-Based Swarm Optimization in Dynamic Environments
In recent years, there has been an increasing concern from the evolutionary computation community on dynamic optimization problems since many real-world optimization problems are t...
Hongfeng Wang, Dingwei Wang, Shengxiang Yang