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140
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EC
2000
187views ECommerce» more  EC 2000»
15 years 2 months ago
Comparison of Multiobjective Evolutionary Algorithms: Empirical Results
In this paper, we provide a systematic comparison of various evolutionary approaches to multiobjective optimization using six carefully chosen test functions. Each test function i...
Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele
GECCO
2005
Springer
107views Optimization» more  GECCO 2005»
15 years 8 months ago
Investigating the success of spatial coevolution
We investigate the results of coevolution of spatially distributed populations. In particular, we describe work in which a simple function approximation problem is used to compare...
Nathan Williams, Melanie Mitchell
118
Voted
TEC
2008
98views more  TEC 2008»
15 years 2 months ago
Opposition-Based Differential Evolution
Evolutionary Algorithms (EAs) are well-known optimization approaches to cope with non-linear, complex problems. These population-based algorithms, however, suffer from a general we...
Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A...
TOOLS
2000
IEEE
15 years 7 months ago
Algorithmic Analysis of the Impacts of Changes to Object-Oriented Software
The research presented here addresses the problem of change impact analysis CIA for object-oriented software. A major problem for developers in an evolutionary environment is th...
Michelle Lee, A. Jefferson Offutt, Roger T. Alexan...
88
Voted
GECCO
2007
Springer
124views Optimization» more  GECCO 2007»
15 years 6 months ago
Fitness-proportional negative slope coefficient as a hardness measure for genetic algorithms
The Negative Slope Coefficient (nsc) is an empirical measure of problem hardness based on the analysis of offspring-fitness vs. parent-fitness scatterplots. The nsc has been teste...
Riccardo Poli, Leonardo Vanneschi