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GECCO
2007
Springer
201views Optimization» more  GECCO 2007»
16 years 24 days ago
A new collaborative evolutionary-swarm optimization technique
A new hybrid approach to optimization in dynamical environments called Collaborative Evolutionary-Swarm Optimization (CESO) is presented. CESO tracks moving optima in a dynamical ...
Rodica Ioana Lung, D. Dumitrescu
CEC
2005
IEEE
16 years 8 days ago
The fitness map scheme: application to interactive multifractal image denoising
AbstractInteractive evolutionary algorithms (IEA) often suffer from what is called the “user bottleneck.” In this paper, we propose and analyse a method to limit the user inter...
Evelyne Lutton, Mario Pilz, Jacques Lévy V&...
EWLR
1999
Springer
15 years 11 months ago
Toward Seamless Transfer from Simulated to Real Worlds: A Dynamically-Rearranging Neural Network Approach
In the field of evolutionary robotics artificial neural networks are often used to construct controllers for autonomous agents, because they have useful properties such as the ab...
Peter Eggenberger, Akio Ishiguro, Seiji Tokura, To...
MUE
2007
IEEE
124views Multimedia» more  MUE 2007»
16 years 27 days ago
Music Information Retrieval Using a GA-based Relevance Feedback
Recently, there has been an increased interest in the query reformulation using relevance feedback with evolutionary techniques such as genetic algorithm for multimedia informatio...
Seungmin Rho, Eenjun Hwang, Minkoo Kim
MICAI
2007
Springer
16 years 23 days ago
Handling Constraints in Particle Swarm Optimization Using a Small Population Size
This paper presents a particle swarm optimizer for solving constrained optimization problems which adopts a very small population size (five particles). The proposed approach uses...
Juan Carlos Fuentes Cabrera, Carlos A. Coello Coel...