RT Journal Article
T1 Dimensional synthesis of mechanisms using Differential Evolution with auto-adaptive control parameters.
A1 Ortiz-Fernández, Antonio
A1 Cabrera-Carrillo, Juan Antonio
A1 Nadal-Martínez, Fernando
A1 Mora-Bonilla, Ángel
K1 Algoritmos genéticos
K1 Optimización combinatoria
K1 Computación evolutiva
AB This paper presents how an algorithm based on Differential Evolution (DE) with no constant control parameters solves the dimensional synthesis of four and six-bar mechanisms for path generation.The selection of values of DE control parameters is not always an easy and obvious job. In this paper a DE with auto-adaptive control parameters is proposed which includes a new mutation operator to solve stagnation in local minima and, on top of all this, the choice of a control parameters value in a simple way.For a set of 6 representative cases related to dimensional synthesis from bibliography, the performance of this new DE algorithm, called Ingeniería Mecánica Málaga (IMMa) Optimization Algorithm with Self-Adaptive Technique, IOAs-at, has been tested. An explanation of how the new mutation operator works is also included. The results obtained, compared with others synthesis techniques from literature, present significant improvements for every case studied. The new version does not require control input parameters to be chosen by the user. Those are auto-tunned during the algorithm execution, that is, we use an algorithm with adaptive control parameters and it continues being easy-to-use, robust and fast.
PB Elsevier
YR 2013
FD 2013-06
LK https://hdl.handle.net/10630/37178
UL https://hdl.handle.net/10630/37178
LA eng
NO A. Ortiz, J.A. Cabrera, F. Nadal, A. Bonilla, Dimensional synthesis of mechanisms using Differential Evolution with auto-adaptive control parameters, Mechanism and Machine Theory, Volume 64, 2013, Pages 210-229, ISSN 0094-114X, https://doi.org/10.1016/j.mechmachtheory.2013.02.002
NO https://openpolicyfinder.jisc.ac.uk/id/publication/16599
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 3 mar 2026