Four-bar linkage path generation through self-adaptive population size teaching-learning based optimization

2018

Applied Sciences

This paper aims to study the comparative performance of original multi-objective population-based incremental learning (MPBIL) and three improvements of MPBIL. The first improvement of original MPBIL is an opposite-based concept, whereas the second and third method enhance the performance of MPBIL using the multi and adaptive learning rate, respectively. Four classic multi-objective structural topology optimization problems are used for testing the performance. Furthermore, these topology optimization problems are improved by the method of multiple resolutions of ground elements, which is called a multi-grid approach (MG). Multi-objective design problems with MG design variables are then posed and tackled by the traditional MPBIL and its improved variants. The results show that using MPBIL with opposite-based concept and MG approach can outperform other MPBIL versions.

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Section: The Performance Index and Non-parametric Statistical Testmentioning

confidence: 99%

Topology Optimisation Using MPBILs and Multi-Grid Ground Element

2018

Applied Sciences

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“…One task for designing a four-bar linkage is a path generation problem. This synthesis problem is aimed at finding significant link lengths of the mechanism to achieve a point on a coupler link moving along the desired path [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16]. The problem is usually converted to be an optimization problem, which is posed to find the dimensions of a mechanism and some other parameters.…”

Section: Introductionmentioning

confidence: 99%

“…The path generation problem is of interest by many researchers due to the advantage of using such a mechanism such as work reported by Sleesongsom and Bureerat [16]. Almost all of the previous work tried to improve the design performance of the path synthesis problem in both the constraint handling [10][11]16] and the performance of an optimizer [1][2][3][4][5][6][7][8][9]16]. The path synthesis optimization problem normally composes of two types of constraints.…”

Section: Introductionmentioning

confidence: 99%

“…From the literature, it is found that a simple exterior penalty function technique is the most popular technique used to deal with constraints [1][2][3][4][5][6][7][9][10][11], but it still lacks in efficiency as reported in [8,11,13,16]. Very recent work in [16] proposed a new technique to neglect the second constraint from the optimization problem and a first constraint is still tackle with the traditional penalty technique, which is found to give the considerably better results than the traditional exterior penalty technique. The new technique can improve the design results but, in turn, increases computational time.…”

Section: Introductionmentioning

confidence: 99%

“…The traditional path generation test problems used in this work are the problems without prescribed timing constraints. Researchers rarely studied and developed a new technique for constraint handling technique, therefore, the present work is conducted to show that a new technique proposed in [16] can be effectively used with a new constraint handling technique. The method is one kind of traditional penalty technique, which has been improved for optimal truss sizing [17].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Alternative Constraint Handling Technique for Four-Bar Linkage Path Generation

IOP Conf. Ser.: Mater. Sci. Eng.

2018

Abstract. This paper proposes an extension of a new concept for path generation from our previous work by adding a new constraint handling technique. The propose technique was initially designed for problems without prescribed timing by avoiding the timing constraint, while remain constraints are solving with a new constraint handling technique. The technique is one kind of penalty technique. The comparative study is optimisation of path generation problems are solved using self-adaptive population size teaching-learning based optimization (SAP-TLBO) and original TLBO. In this study, two traditional path generation test problem are used to test the proposed technique. The results show that the new technique can be applied with the path generation problem without prescribed timing and gives better results than the previous technique. Furthermore, SAP-TLBO outperforms the original one.

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Optimization of a High-Lift Mechanism Motion Generation Synthesis Using MHS

Lecture Notes in Computer Science

2021