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» On artificial immune systems and swarm intelligence
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ANTSW
2010
Springer
14 years 4 months ago
A Deterministic Metaheuristic Approach Using "Logistic Ants" for Combinatorial Optimization
Abstract. Ant algorithms are usually derived from a stochastic modeling based on some specific probability laws. We consider in this paper a full deterministic model of "logis...
Rodolphe Charrier, Christine Bourjot, Franç...
84
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ATAL
2009
Springer
15 years 4 months ago
Stigmergic landmark foraging
In this paper, we describe a nature-inspired optimization algorithm based on bee foraging behavior. This algorithm combines the high performance of bee path-integration navigation...
Nyree Lemmens, Karl Tuyls
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
15 years 3 months ago
Applying both positive and negative selection to supervised learning for anomaly detection
This paper presents a novel approach of applying both positive selection and negative selection to supervised learning for anomaly detection. It first learns the patterns of the n...
Xiaoshu Hang, Honghua Dai
ICTAI
2009
IEEE
15 years 4 months ago
FlockStream: A Bio-Inspired Algorithm for Clustering Evolving Data Streams
Existing density-based data stream clustering algorithms use a two-phase scheme approach consisting of an online phase, in which raw data is processed to gather summary statistics...
Agostino Forestiero, Clara Pizzuti, Giandomenico S...
GECCO
2007
Springer
256views Optimization» more  GECCO 2007»
15 years 3 months ago
A particle swarm optimization approach for estimating parameter confidence regions
Point estimates of the parameters in real world models convey valuable information about the actual system. However, parameter comparisons and/or statistical inference requires de...
Praveen Koduru, Stephen Welch, Sanjoy Das