Evolutionary algorithms with deterministic mutation operators used for the optimization of the trajectory of a four-bar mechanism

Authors:
A. Kanarachos;D. Koulocheris;H. Vrazopoulos
Affiliations:
Laboratory of Dynamics and Constructions, School of Mechanical Engineering, National Technical University of Athens, Iroon Polytehniou 9, Athens 15773, Greece;Laboratory of Dynamics and Constructions, School of Mechanical Engineering, National Technical University of Athens, Iroon Polytehniou 9, Athens 15773, Greece;Laboratory of Dynamics and Constructions, School of Mechanical Engineering, National Technical University of Athens, Iroon Polytehniou 9, Athens 15773, Greece
Venue:
Mathematics and Computers in Simulation
Year:
2003

Citing 5
Cited 1

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Genetic algorithms in synthesis of path generator four-bar mechanism with maximum mechanical advantage

ASM '07 The 16th IASTED International Conference on Applied Simulation and Modelling

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Abstract

In this paper, we propose an Evolutionary Algorithm (EA) with a deterministic mutation operator which is a combination of EA with the Broyden, Fletcher, Goldfarb and Shanno (BFGS) method. The advantages of both optimization algorithms are retained and interconnected. The proposed algorithm shows faster convergence as well as increased reliability in the search for the global optimum. Results referring to the Fletcher and Powel test function in comparison with EA (Evolution Strategies, Evolutionary Programming, and Genetic Algorithms), provide sufficient indication for the performance of the new method. Finally, the proposed method is successfully implemented for the trajectory optimization of a four-bar mechanism.