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» Crossover in Probability Spaces
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PPSN
2004
Springer
15 years 5 months ago
SPEA2+: Improving the Performance of the Strength Pareto Evolutionary Algorithm 2
Multi-objective optimization methods are essential to resolve real-world problems as most involve several types of objects. Several multi-objective genetic algorithms have been pro...
Mifa Kim, Tomoyuki Hiroyasu, Mitsunori Miki, Shiny...
95
Voted
IPPS
2003
IEEE
15 years 5 months ago
Parallel Heterogeneous Genetic Algorithms for Continuous Optimization
In this paper we address the physical parallelization of a very efficient genetic algorithm (GA) known as gradual distributed real-coded GA (GD-RCGA). This search model naturally...
Enrique Alba, Francisco Luna, Antonio J. Nebro
GECCO
2009
Springer
125views Optimization» more  GECCO 2009»
15 years 5 months ago
Preserving population diversity for the multi-objective vehicle routing problem with time windows
The Vehicle Routing Problem’s main objective is to find the lowest-cost set of routes to deliver goods to customers, which have a service time window, using a fleet of identic...
Abel Garcia-Najera
119
Voted
PAMI
2006
134views more  PAMI 2006»
15 years 13 days ago
A Genetic Algorithm Using Hyper-Quadtrees for Low-Dimensional K-means Clustering
The k-means algorithm is widely used for clustering because of its computational efficiency. Given n points in d-dimensional space and the number of desired clusters k, k-means see...
Michael Laszlo, Sumitra Mukherjee
IJON
2007
80views more  IJON 2007»
15 years 12 days ago
Hardware implementation of a novel genetic algorithm
—This paper presents a novel genetic algorithm, termed the Optimum Individual Monogenetic Algorithm (OIMGA) and describes its hardware implementation. As the monogenetic strategy...
Z. Zhu, D. J. Mulvaney, Vassilios A. Chouliaras