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ICCSA
2007
Springer
14 years 2 months ago
Quasi-hierarchical Evolutionary Algorithm for Flow Optimization in Survivable MPLS Networks
In this paper we address the problem of working paths optimization in survivable MPLS network. We focus on an existing facility network, in which only network flows can be optimize...
Michal Przewozniczek, Krzysztof Walkowiak
TSE
2011
144views more  TSE 2011»
13 years 3 months ago
Genetic Algorithms for Randomized Unit Testing
—Randomized testing is an effective method for testing software units. Thoroughness of randomized unit testing varies widely according to the settings of certain parameters, such...
James H. Andrews, Tim Menzies, Felix Chun Hang Li
GECCO
2006
Springer
157views Optimization» more  GECCO 2006»
13 years 12 months ago
gLINC: identifying composability using group perturbation
We present two novel perturbation-based linkage learning algorithms that extend LINC [5]; a version of LINC optimised for decomposition tasks (oLINC) and a hierarchical version of...
David Jonathan Coffin, Christopher D. Clack
CEC
2005
IEEE
14 years 1 months ago
Genetic algorithms with self-organized criticality for dynamic optimization problems
This paper proposes a genetic algorithm (GA) with random immigrants for dynamic optimization problems where the worst individual and its neighbours are replaced every generation. I...
Renato Tinós, Shengxiang Yang
GECCO
2004
Springer
14 years 1 months ago
A Philosophical Essay on Life and Its Connections with Genetic Algorithms
This paper makes a number of connections between life and various facets of genetic and evolutionary algorithms research. Specifically, it addresses the topics of adaptation, mult...
Fernando G. Lobo