An Enhanced Lightning Attachment Procedure Optimization with Quasi-Opposition-Based Learning and Dimensional Search Strategies

Zheng, Tongyi; Luo, Weili

doi:10.1155/2019/1589303

Cited by 21 publications

(10 citation statements)

References 58 publications

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“… Layer 4 is a defuzzification process as follows: Layer 5 is an output as follows: Phase 5: LAPO LAPO algorithm is recently developed (Foroughi Nematollahi et al , 2019). LAPO is more effective than other algorithms (Zheng and Luo, 2019). In this paper, LAPO is used for the TBCM. Initialization : Initial population is needed.…”

Section: Description Of the Proposed Hybrid Computational Methodsmentioning

confidence: 93%

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A hybrid computational method for optimization design of bistable compliant mechanism

Chau

Tran

Dao

2020

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Purpose Compliant mechanism has been receiving a great interest in precision engineering. However, analytical methods involving their behavior analysis is still a challenge because there are unclear kinematic behaviors. Especially, design optimization for compliant mechanisms becomes an important task when the problem is more and more complex. Therefore, the purpose of this study is to design a new hybrid computational method. The hybridized method is an integration of statistics, numerical method, computational intelligence and optimization. Design/methodology/approach A tensural bistable compliant mechanism is used to clarify the efficiency of the developed method. A pseudo model of the mechanism is designed and simulations are planned to retrieve the data sets. Main contributions of design variables are analyzed by analysis of variance to initialize several new populations. Next, objective functions are transformed into the desirability, which are inputs of the fuzzy inference system (FIS). The FIS modeling is aimed to initialize a single-combined objective function (SCOF). Subsequently, adaptive neuro-fuzzy inference system is developed to modeling a relation of the main geometrical parameters and the SCOF. Finally, the SCOF is maximized by lightning attachment procedure optimization algorithm to yield a global optimality. Findings The results prove that the present method is better than a combination of fuzzy logic and Taguchi. The present method is also superior to other algorithms by conducting non-parameter tests. The proposed computational method is a usefully systematic method that can be applied to compliant mechanisms with complex structures and multiple-constrained optimization problems. Originality/value The novelty of this work is to make a new approach by combining statistical techniques, numerical method, computational intelligence and metaheuristic algorithm. The feasibility of the method is capable of solving a multi-objective optimization problem for compliant mechanisms with nonlinear complexity.

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Section: Description Of the Proposed Hybrid Computational Methodsmentioning

confidence: 93%

“…LAPO algorithm is recently developed (Foroughi Nematollahi et al , 2019). LAPO is more effective than other algorithms (Zheng and Luo, 2019). In this paper, LAPO is used for the TBCM.…”

Section: Description Of the Proposed Hybrid Computational Methodsmentioning

confidence: 93%

A hybrid computational method for optimization design of bistable compliant mechanism

Chau

Tran

Dao

2020

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“…It is one of the most nontuned parameter algorithms. LAPO algorithm can solve a lot of different engineering problems, and it is superior to other metaheuristic algorithms [60]. erefore, this study adopts the LAPO algorithm to expand its application capacity for the MOO design for the bridge amplification compliant mechanism.…”

Section: Phase 5: Lightning Attachment Procedures Optimizationmentioning

confidence: 99%

“…erefore, this study adopts the LAPO algorithm to expand its application capacity for the MOO design for the bridge amplification compliant mechanism. Readers can find details in literatures [59,60]. It consists of five substeps as follows.…”

Section: Phase 5: Lightning Attachment Procedures Optimizationmentioning

confidence: 99%

A Hybrid Computational Method of Desirability, Fuzzy Logic, ANFIS, and LAPO Algorithm for Multiobjective Optimization Design of Scott Russell Compliant Mechanism

Tran

Chau

Dao

2020

Mathematical Problems in Engineering

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Flexure-based compliant mechanisms are increasingly promising in precision engineering, robotics, and other applications, thanks to the excellent advantages of no friction, no backlash, no wear, and minimal assembly. However, their design and analysis are still challenging due to the coupling of kinematic-mechanical behaviors with large nonlinear deflections in comparison to their rigid-body counterparts. Optimal design is an important aspect in the field of compliant mechanisms and has attracted much attention during the last decades. Especially, when considering a multiobjective optimization design for compliant mechanisms, the problem is becoming more complicated. Thus, this article presents a new efficient hybrid computational method to resolve multiobjective optimization design of compliant mechanisms. A Scott Russell compliant mechanism is employed as the design example and to show the advantages of the proposed optimizing method. The proposed method is developed by hybridizing the desirability function approach, fuzzy logic system, adaptive neuro-fuzzy inference system (ANFIS), and lightning attachment procedure optimization (LAPO). First of all, a 3D finite element model is created and central composite design is employed to build a numerical matrix. First, design variables are refined by using analysis of variance and Taguchi approach in terms of considerably eliminating space of design variables. Subsequently, desirability values of two objective functions are determined and transferred into the fuzzy logic system. The output of the fuzzy logic system is considered as a single combined objective function. Next, modeling for fuzzy output is established via developing the ANFIS model. At last, the LAPO algorithm is adopted for solving the multiobjective optimization problem for the mechanism. Three numerical examples are investigated to validate the feasibility and the effectiveness of performance efficiency of the proposed methodology. The results find that the proposed methodology is more efficient than traditional Taguchi-based fuzzy logic. Besides, the performance efficiency of the proposed approach outperforms the Jaya algorithm and TLBO algorithm through the Wilcoxon signed rank test and Friedman test. The results of this article give a useful approach for complex optimization problems.

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“…The LAPO algorithm is based on the concepts of the lightning attachment procedure. The application of LAPO is seen in paper [122][123][124][125]. The GROM algorithm is inspired by the golden ratio of plant and animal growth.…”

Section: Introductionmentioning

confidence: 99%

A comparative study of social group optimization with a few recent optimization algorithms

Naik

Satapathy

2020

Complex Intell. Syst.

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From the past few decades, the popularity of meta-heuristic optimization algorithms is growing compared to deterministic search optimization algorithms in solving global optimization problems. This has led to the development of several optimization algorithms to solve complex optimization problems. But none of the algorithms can solve all optimization problems equally well. As a result, the researchers focus on either improving exiting meta-heuristic optimization algorithms or introducing new algorithms. The social group optimization (SGO) Algorithm is a meta-heuristic optimization algorithm that was proposed in the year 2016 for solving global optimization problems. In the literature, SGO is shown to perform well as compared to other optimization algorithms. This paper attempts to compare the performance of the SGO algorithm with other optimization algorithms proposed between 2017 and 2019. These algorithms are tested through several experiments, including multiple classical benchmark functions, CEC special session functions, and six classical engineering problems etc. Optimization results prove that the SGO algorithm is extremely competitive as compared to other algorithms.

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An Enhanced Lightning Attachment Procedure Optimization with Quasi-Opposition-Based Learning and Dimensional Search Strategies

Cited by 21 publications

References 58 publications

A hybrid computational method for optimization design of bistable compliant mechanism

A hybrid computational method for optimization design of bistable compliant mechanism

A Hybrid Computational Method of Desirability, Fuzzy Logic, ANFIS, and LAPO Algorithm for Multiobjective Optimization Design of Scott Russell Compliant Mechanism

A comparative study of social group optimization with a few recent optimization algorithms

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