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GECCO
2006
Springer
143views Optimization» more  GECCO 2006»
15 years 1 months ago
Hybrid search for cardinality constrained portfolio optimization
In this paper, we describe how a genetic algorithm approach added to a simulated annealing (SA) process offers a better alternative to find the mean variance frontier in the portf...
Miguel A. Gomez, Carmen X. Flores, Maria A. Osorio
HAIS
2009
Springer
15 years 2 months ago
Automatic Clustering Using a Synergy of Genetic Algorithm and Multi-objective Differential Evolution
— This paper applies the Differential Evolution (DE) and Genetic Algorithm (GA) to the task of automatic fuzzy clustering in a Multi-objective Optimization (MO) framework. It com...
Debarati Kundu, Kaushik Suresh, Sayan Ghosh, Swaga...
AUSAI
2004
Springer
15 years 3 months ago
Genetic Algorithm Based K-Means Fast Learning Artificial Neural Network
The K-means Fast Learning Artificial Neural Network (KFLANN) is a small neural network bearing two types of parameters, the tolerance, δ and the vigilance, µ. In previous papers,...
Yin Xiang, Alex Leng Phuan Tay
IPPS
1998
IEEE
15 years 2 months ago
Meta-heuristics for Circuit Partitioning in Parallel Test Generation
In this communication Simulated Annealing and Genetic Algorithms, are applied to the graph partitioning problem. These techniques mimic processes in statistical mechanics and biol...
Consolación Gil, Julio Ortega, Antonio F. D...
IPPS
1999
IEEE
15 years 2 months ago
A Genetic-Based Fault-Tolerant Routing Strategy for Multiprocessor Networks
Abstract. We have investigated the adaptation of AI-based search techniques as topologyindependent fault-tolerant routing strategies on multiprocessor networks [9]. The results sho...
Peter K. K. Loh, Venson Shaw