A combined genetic algorithm-fuzzy logic method (GA-FL) in mechanisms synthesis
TL;DR: This work presents a combined genetic algorithm–fuzzy logic method to solve the problem of path generation in mechanism synthesis and proved to be more efficient in finding the optimal mechanism.
About: This article is published in Mechanism and Machine Theory.The article was published on 2004-07-01. It has received 154 citations till now. The article focuses on the topics: Meta-optimization & Fuzzy logic.
Citations
More filters
TL;DR: In this paper, an optimal dimensional synthesis method of the DELTA parallel robot for a prescribed workspace is presented, where the objective function is based on the mathematical concept of the power of a point with respect to bounding constraint surfaces.
171 citations
Additional excerpts
...A real-coded GA [14,15] is used here....
[...]
TL;DR: In this paper, a dimensional synthesis method for a four-bar (4R) path generator mechanism with revolute joints with clearance is presented, where joint clearances are considered as virtual massless links.
Abstract: In this paper, a dimensional synthesis method for a four-bar (4R) path generator mechanism having revolute joints with clearance is presented. Joint clearances are considered as virtual massless links. The proposed method uses a neural network (NN) to define the characteristics of joints with clearance with respect to the position of the input link, and a genetic algorithm (GA) to implement the optimization of link parameters using an appropriate objective function based on path and transmission angle errors. Training and testing data sets for network weights are obtained from mechanism simulation, and Grashof’s rule is used during the optimization process as constraint. The results show that the proposed method is very efficient for the purpose of modeling the joint variables and also adjusting the link dimensions to optimize planar mechanisms with clearances.
125 citations
Additional excerpts
...[2]....
[...]
TL;DR: In this article, the authors considered dimensional synthesis of a six-bar linkage with turning kinematic pairs, in the literature known as Stephenson III Sixbar linkage, and the synthesis procedure started from the requirement that it should be a double dwell mechanism and that the coupler point, during dwell, should pass through the given points belonging to the circular arc.
109 citations
TL;DR: The error between the desired and the target coupler curve in a four- bar mechanism and in a six-bar mechanism is obtained, showing that the found solutions by the MUMSA algorithm were accurate and valid for all cases.
95 citations
TL;DR: In this paper, hybrid multi-objective genetic algorithms (GAs) were used for Pareto optimum synthesis of four-bar linkages considering the minimization of two objective functions simultaneously.
94 citations
References
More filters
Book•
01 Sep 1988
TL;DR: In this article, the authors present the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields, including computer programming and mathematics.
Abstract: From the Publisher:
This book brings together - in an informal and tutorial fashion - the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields
Major concepts are illustrated with running examples, and major algorithms are illustrated by Pascal computer programs No prior knowledge of GAs or genetics is assumed, and only a minimum of computer programming and mathematics background is required
52,797 citations
326 citations
TL;DR: The main advantages of the solution methods of optimal synthesis of planar mechanisms are its simplicity of implementation and its fast convergence to optimal solution, with no need of deep knowledge of the searching space.
311 citations
TL;DR: This paper presents an effective objective function based on Fourier descriptors that evaluates only the shape differences between two curves that discovers near-global and practical solutions consistently without requiring any initial guess.
Abstract: Generally, success in synthesis of mechanisms for path generation is limited to finding a reasonable local optima at best in spite of verygood initial guess. The most widely used Structural Error objective function is not effective in leading to practical solutions as it misrepresents the nature of the design problem by requiring the shape, size, orientation and position of the coupler curve to be optimized all at once. In this paper, we present an effective objective function based on Fourier descriptors that evaluates only the shape differences between two curves. This function is first minimized using a stochastic global search method derived from simulated annealing followed by Powell's method. The size, orientation and position of the desired curve are addressed in a later stage by determining analogous points on the desired and candidate curves. In spite of highly non-linear mechanisms design space, our method discovers near-global and practical solutions consistently without requiring any initial guess.
158 citations