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ISICA
2007
Springer
15 years 10 months ago
A Fast Particle Swarm Optimization Algorithm with Cauchy Mutation and Natural Selection Strategy
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 ...
Changhe Li, Yong Liu, Aimin Zhou, Lishan Kang, Hui...
SAC
2006
ACM
15 years 10 months ago
Adaptive mutation with fitness and allele distribution correlation for genetic algorithms
In this paper, a new gene based adaptive mutation scheme is proposed for genetic algorithms (GAs), where the information on gene based fitness statistics and on gene based allele...
Shengxiang Yang, Sima Uyar
PKDD
2009
Springer
184views Data Mining» more  PKDD 2009»
15 years 9 months ago
Boosting Active Learning to Optimality: A Tractable Monte-Carlo, Billiard-Based Algorithm
Abstract. This paper focuses on Active Learning with a limited number of queries; in application domains such as Numerical Engineering, the size of the training set might be limite...
Philippe Rolet, Michèle Sebag, Olivier Teyt...
CIDM
2009
IEEE
15 years 8 months ago
Handling continuous attributes in Ant Colony Classification algorithms
Most real-world classification problems involve continuous (real-valued) attributes, as well as, nominal (discrete) attributes. The majority of Ant Colony Optimisation (ACO) classi...
Fernando E. B. Otero, Alex Alves Freitas, Colin G....
ATAL
2007
Springer
15 years 10 months ago
IFSA: incremental feature-set augmentation for reinforcement learning tasks
Reinforcement learning is a popular and successful framework for many agent-related problems because only limited environmental feedback is necessary for learning. While many algo...
Mazda Ahmadi, Matthew E. Taylor, Peter Stone