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138
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GECCO
2003
Springer
141views Optimization» more  GECCO 2003»
15 years 8 months ago
Finding the Optimal Gene Order in Displaying Microarray Data
The rapid advances of genome-scale sequencing have brought out the necessity of developing new data processing techniques for enormous genomic data. Microarrays, for example, can g...
Seung-Kyu Lee, Yong-Hyuk Kim, Byung Ro Moon
180
Voted
PPSN
2010
Springer
15 years 1 months ago
Ant Colony Optimization with Immigrants Schemes in Dynamic Environments
Abstract. In recent years, there has been a growing interest in addressing dynamic optimization problems (DOPs) using evolutionary algorithms (EAs). Several approaches have been de...
Michalis Mavrovouniotis, Shengxiang Yang
108
Voted
IWANN
2001
Springer
15 years 8 months ago
A New Approach to Evolutionary Computation: Segregative Genetic Algorithms (SEGA)
This paper looks upon the standard genetic algorithm as an artificial self-organizing process. With the purpose to provide concepts that make the algorithm more open for scalabili...
Michael Affenzeller
JDA
2007
129views more  JDA 2007»
15 years 3 months ago
Approximating the k-traveling repairman problem with repairtimes
Given an undirected graph G = (V,E) and a source vertex s ∈ V , the k-traveling repairman (KTR) problem, also known as the minimum latency problem, asks for k tours, each starti...
Raja Jothi, Balaji Raghavachari
CEC
2008
IEEE
15 years 10 months ago
Evolutionary Multi-objective Simulated Annealing with adaptive and competitive search direction
— In this paper, we propose a population-based implementation of simulated annealing to tackle multi-objective optimisation problems, in particular those of combinatorial nature....
Hui Li, Dario Landa Silva