Bat algorithm as a metaheuristic optimization approach in materials and design: optimal design of a new float for different materials

2018 ◽  
Vol 31 (10) ◽  
pp. 6151-6161 ◽  
Author(s):  
Mostafa Jalal ◽  
Anal K. Mukhopadhyay ◽  
Maral Goharzay
Keyword(s):  
Optimal Design ◽  
Bat Algorithm ◽  
Optimization Approach ◽  
Metaheuristic Optimization

Optimal design of damage tolerant composite using ply angle dispersion and enhanced bat algorithm

2019 ◽  
Vol 32 (8) ◽  
pp. 3387-3406
Author(s):  
M. Prashanth Reddy ◽  
Shuvajit Mukherjee ◽  
Ranjan Ganguli
Keyword(s):  
Optimal Design ◽  
Bat Algorithm ◽  
Damage Tolerant

Design and Analysis of Automotive Bumper Covers in Transient Loading Conditions

2016 ◽  
Vol 715 ◽  
pp. 174-179 ◽  
Author(s):  
Chih Hsing Liu ◽  
Ying Chia Huang ◽  
Chen Hua Chiu ◽  
Yu Cheng Lai ◽  
Tzu Yang Pai
Keyword(s):  
Optimal Design ◽  
Numerical Model ◽  
Design Method ◽  
Experimental Tests ◽  
Cost Effective ◽  
Limited Range ◽  
Optimization Approach ◽  
Loading Conditions ◽  
Element Analysis ◽  
Design Guideline

This paper presents the analysis methods for design of automotive bumper covers. The bumper covers are plastic structures attached to the front and rear ends of an automobile and are expected to absorb energy in a minor collision. One requirement in design of the bumper covers is to minimize the bumper deflection within a limited range under specific loadings at specific locations based on the design guideline. To investigate the stiffness performance under various loading conditions, a numerical model based on the explicit dynamic finite element analysis (FEA) using the commercial FEA solver, LS-DYNA, is developed to analyze the design. The experimental tests are also carried out to verify the numerical model. The thickness of the bumper cover is a design variable which usually varies from 3 to 4 mm depending on locations. To improve the stiffness of the bumper, an optimal design for the bumper under a pre-defined loading condition is identified by using the topology optimization approach, which is an optimal design method to obtain the optimal layout of an initial design domain under specific boundary conditions. The outcome of this study provides an efficient and cost-effective method to predict and improve the design of automotive bumper covers.

Optimization Techniques for the Multilevel Thresholding of the Medical Images

2019 ◽  
pp. 166-184 ◽  
Author(s):  
Taranjit Kaur ◽  
Barjinder Singh Saini ◽  
Savita Gupta
Keyword(s):  
Clinical Information ◽  
Bat Algorithm ◽  
Magnetic Resonance Images ◽  
Optimization Techniques ◽  
Optimization Approach ◽  
Multilevel Thresholding ◽  
Web Database ◽  
Entropy Maximization ◽  
Optimal Thresholds ◽  
Simulated Images

Multilevel thresholding is segmenting the image into several distinct regions. Medical data like magnetic resonance images (MRI) contain important clinical information that is crucial for diagnosis. Hence, automatic segregation of tissue constituents is of key interest to clinician. In the chapter, standard entropies (i.e., Kapur and Tsallis) are explored for thresholding of brain MR images. The optimal thresholds are obtained by the maximization of these entropies using the particle swarm optimization (PSO) and the BAT optimization approach. The techniques are implemented for the segregation of various tissue constituents (i.e., cerebral spinal fluid [CSF], white matter [WM], and gray matter [GM]) from simulated images obtained from the brain web database. The efficacy of the thresholding technique is evaluated by the Dice coefficient (Dice). The results demonstrate that Tsallis' entropy is superior to the Kapur's entropy for the segmentation CSF and WM. Moreover, entropy maximization using BAT algorithm attains a higher Dice in contrast to PSO.

Extractive Summary: An Optimization Approach Using Bat Algorithm

2019 ◽  
pp. 175-186 ◽  
Author(s):  
Anshuman Pattanaik ◽  
Santwana Sagnika ◽  
Madhabananda Das ◽  
Bhabani Sankar Prasad Mishra
Keyword(s):  
Bat Algorithm ◽  
Optimization Approach

Optimal Design for Multi-Item Auctions: A Robust Optimization Approach

2014 ◽  
Vol 39 (4) ◽  
pp. 1012-1038 ◽  
Author(s):  
Chaithanya Bandi ◽  
Dimitris Bertsimas
Keyword(s):  
Optimal Design ◽  
Robust Optimization ◽  
Optimization Approach
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