456 search results - page 34 / 92 » Comparison of Multiobjective Evolutionary Algorithms: Empiri... |
150
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EMO
2005
Springer
15 years 11 months ago
2005
Springer
Nearly all Multi-Objective Evolutionary Algorithms (MOEA) rely on random generation of initial population. In large and complex search spaces, this random method often leads to an ...
140
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GECCO
2009
Springer
15 years 10 months ago
2009
Springer
Typical domains used in machine learning analyses only partially cover the complexity space, remaining a large proportion of problem difficulties that are not tested. Since the ac...
185
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EMO
2005
Springer
15 years 11 months ago
2005
Springer
Abstract. The hypervolume measure is one of the most frequently applied measures for comparing the results of evolutionary multiobjective optimization algorithms (EMOA). The idea t...
176
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SACI
2007
IEEE
16 years 7 days ago
2007
IEEE
- The aim of this paper is to propose a filter, based on a multi-objective evolutionary algorithm, for attributes’ ranking in the context of a data mining task. The behavior of t...
172
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CEC
2005
IEEE
15 years 11 months ago
2005
IEEE
Abstract- The Pareto optimal solutions to a multiobjective optimization problem often distribute very regularly in both the decision space and the objective space. Most existing ev...