Journal ArticleDOI
A multi-response optimal design of bistable compliant mechanism using efficient approach of desirability, fuzzy logic, ANFIS and LAPO algorithm
TLDR
A new efficient hybrid methodology for solving the multi-objective optimization design for compliant mechanisms is presented, and the results demonstrate that the proposed method is more efficient than Taguchi-based fuzzy logic.About:
This article is published in Applied Soft Computing.The article was published on 2020-09-01. It has received 16 citations till now. The article focuses on the topics: Fuzzy logic & Adaptive neuro fuzzy inference system.read more
Citations
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Journal ArticleDOI
Bistable Morphing Composites for Energy-Harvesting Applications
TL;DR: In this article , the application of bistable morphing composites in energy harvesting is discussed and mathematical modeling of the dynamic behavior of these composite structures is explained, and the applications of artificial-intelligence techniques to optimize the design of Bistable structures and to predict their response under different actuating schemes are discussed.
Journal ArticleDOI
Microwave assisted fluidized bed drying of nutmeg mace for essential oil enriched extracts: An assessment of drying kinetics, process optimization and quality
Yarrakula Srinivas,Santhi Mary Mathew,Anjineyulu Kothakota,Nukasani Sagarika,Ravi Pandiselvam +4 more
TL;DR: In this paper, the drying mechanism of the myristicin enriched nutmeg mace has been optimized in a microwave assisted fluidization bed dryer through multiple linear regression (MLR) and artificial neural network (ANN) modeling.
Journal ArticleDOI
An Optimal Design Method for Compliant Mechanisms
TL;DR: An optimal design method for compliant mechanisms that outperforms the other metaheuristic algorithms such as TLBO, Jaya, PSOGSA, SCA, ALO, and LAPO in terms of faster convergence and is considered to apply for multiple-degrees-of-freedom compliant mechanisms in future work.
Journal ArticleDOI
Multiresponse Optimization for a Novel Compliant Z-Stage by a Hybridization of Response Surface Method and Whale Optimization Algorithm
TL;DR: A novel design of the compliant z-stage as well as an effective integration methodology of Taguchi method, response surface method, weight factor calculation based on signal to noise, and the whale optimization algorithm to resolve a design optimal problem so as to enrich the quality performances of the proposed stage.
Journal ArticleDOI
Decentralized adaptive flocking control algorithm with avoiding collision and preserving connectivity for crowded UUV swarm with uncertainties and input saturation
Hongtao Liang,Hui Cao,Yanfang Fu +2 more
TL;DR: A leader-follower flocking controller is proposed to guarantee the collision avoidance and connectivity preservation with bounded fuzzy potential fields at the kinematic level and an adaptive controller which is robust against model uncertainties and disturbances is developed.
References
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Simultaneous Optimization of Several Response Variables
TL;DR: In this article, the authors present a set of conditions that will result in a product with a desirable combination of properties, which is a problem facing the product development community in general.
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A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms
TL;DR: The basics are discussed and a survey of a complete set of nonparametric procedures developed to perform both pairwise and multiple comparisons, for multi-problem analysis are given.
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Teaching-learning-based optimization: A novel method for constrained mechanical design optimization problems
TL;DR: The effectiveness of the TLBO method is compared with the other population-based optimization algorithms based on the best solution, average solution, convergence rate and computational effort and results show that TLBO is more effective and efficient than the other optimization methods.
Journal ArticleDOI
A study on the use of non-parametric tests for analyzing the evolutionary algorithms' behaviour: a case study on the CEC'2005 Special Session on Real Parameter Optimization
TL;DR: This study analyzes the published results for the algorithms presented in the CEC’2005 Special Session on Real Parameter Optimization by using non-parametric test procedures and states that a parametric statistical analysis could not be appropriate specially when the authors deal with multiple-problem results.
Book
Theory of machines and mechanisms
TL;DR: This chapter discusses the design of buildings and the role of language in the development of buildings, as well as some examples of buildings used in the modern world.