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Title:
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Parameter tunning for PBIL algorithm in geometric constraint solving systems
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Author:
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Joan Arinyo, Robert; Luzón, M.V.; Yeguas Bolívar, Enrique
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Other authors:
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Universitat Politècnica de Catalunya. Departament de Ciències de la Computació; Universitat Politècnica de Catalunya. GIE - Grup d'Informàtica a l'Enginyeria |
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Abstract:
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In previous works we have shown that applying genetic algorithms to solve the Root Identification Problem is feasible and effective. The behavior of evolutive algorithms is characterized by a set of parameters that have an
effect on the algorithms’ performance. In this paper we report on an empirical statistical study conducted to establish the influence of the driving
parameters in the Population Based Incremental Learning (PBIL) algorithm when applied to solve the Root Identification Problem. We also identify
ranges for the parameters values that optimize the algorithm performance. |
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Subject(s):
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-Àrees temàtiques de la UPC::Informàtica::Informàtica teòrica
-Evolutionary computation
-Parameter optimization
-Evolutive algorithms
-Geometric Constraint Solving
-Root Identification Problem.
-Informàtica evolucionària |
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Rights:
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Document type:
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Article - Submitted version
Conference Object |
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Share:
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