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

DOI10.1016/J.MATCOM.2003.06.001zbMath1036.65053OpenAlexW2063821773MaRDI QIDQ1418577

D. Koulocheris, H. Vrazopoulos, Andreas E. Kanarachos

Publication date: 14 January 2004

Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.matcom.2003.06.001

zbMATH Keywords

convergencenumerical examplesEvolutionary algorithmsoptimization algorithmsfour-bar mechanismTrajectory optimizationBroyden, Fletcher, Goldfarb and Shanno methodDeterministic mutationFletcher and Powell test functionmotion control problem

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Nonlinear programming (90C30) Kinematics of a rigid body (70B10) Population dynamics (general) (92D25) Control of mechanical systems (70Q05)

Related Items (3)

Optimal free-defect synthesis of four-bar linkage with joint clearance using PSO algorithm ⋮ Pareto optimal synthesis of four-bar mechanisms for path generation ⋮ Optimal design of four-bar mechanisms using a hybrid multi-objective GA with adaptive local search

Uses Software

• Genocop

Cites Work

• Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: A survey of the state-of-the-art
• Numerical Optimization
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