scholarly journals Comparison of simulation-based methods and metaheuristic optimization algorithms for optimizing window design by considering daylighting and heat transfer in a tropical region of Indonesia

2021 ◽  
Vol 907 (1) ◽  
pp. 012016
Author(s):  
A Budhiyanto ◽  
A Oktavianus ◽  
B Tedjokusumo ◽  
K Harsono ◽  
I T Yang
Keyword(s):  
Optimization Algorithms ◽  
Building Design ◽  
Tropical Region ◽  
Time Duration ◽  
Design Models ◽  
Metaheuristic Optimization ◽  
Simulation Based ◽  
Metaheuristic Optimization Algorithm ◽  
Window Design ◽  
Metaheuristic Optimization Algorithms

Abstract This study presents evaluation and comparison of simulation-based methods and metaheuristic optimization algorithms on building design models, focussing on daylight availability maximization and energy consumption minimization. The simulation-based method was presented using Rhino/Grasshopper software supported by the Ladybug, Honeybee, and Octopus optimization plugins; while MOPSO was chosen to calculate the metaheuristic optimization algorithm. The result indicated that OTTV values of the optimum design were respectively in the range of 24.06 W/m2 to 34.15 W/m2 for Octopus optimization and 25.19 W/m2 to 34.99 W/m2 for MPSO; and the WWR value for Octopus optimization and MOPSO were in the range 15% to 23% and 15% to 26%, respectively. While both methods showed similar results, the time duration for simulating in Rhino/Grasshopper was much longer compared to calculating the algorithm using MATLAB, indicating that simulation-based was less effective.

A probabilistic metric for comparing metaheuristic optimization algorithms

2018 ◽  
Vol 70 ◽  
pp. 59-70 ◽  
Author(s):  
Wellison J.S. Gomes ◽  
André T. Beck ◽  
Rafael H. Lopez ◽  
Leandro F.F. Miguel
Keyword(s):  
Optimization Algorithms ◽  
Metaheuristic Optimization ◽  
Probabilistic Metric ◽  
Metaheuristic Optimization Algorithms

scholarly journals Application of metaheuristic optimization algorithms for image registration in mobile robot visual control

2021 ◽  
Vol 18 (2) ◽  
pp. 155-170
Author(s):  
Lazar Djokic ◽  
Aleksandar Jokic ◽  
Milica Petrovic ◽  
Nikola Slavkovic ◽  
Zoran Miljkovic
Keyword(s):  
Image Registration ◽  
Mobile Robot ◽  
Visual Servoing ◽  
Vision System ◽  
Optimization Algorithms ◽  
Laboratory Model ◽  
Metaheuristic Optimization ◽  
Whale Optimization ◽  
Comprehensive Comparison ◽  
Metaheuristic Optimization Algorithms

Visual Servoing (VS) of a mobile robot requires advanced digital image processing, and one of the techniques especially fitting for this complex task is Image Registration (IR). In general, IR involves the geometrical alignment of images, and it can be viewed as an optimization problem. Therefore, we propose Metaheuristic Optimization Algorithms (MOA) for IR in VS of a mobile robot. The comprehensive comparison study of three state-of-the-art MOA, namely the Slime Mould Algorithm (SMA), Harris Hawks Optimizer (HHO), and Whale Optimization Algorithm (WOA) is presented. The previously mentioned MOA used for IR are evaluated on 12 pairs of stereo images obtained by a mobile robot stereo vision system in a laboratory model of a manufacturing environment. The MATLsoftware package is used for the implementation of the considered optimization algorithms. Acquired experimental results show that SMA outperforms HHO and WOA, while all three algorithms perform satisfactory alignment of images captured from various mobile robot poses.

scholarly journals A New Metaheuristic Optimization Algorithms for Brushless Direct Current Wheel Motor Design Problem

2021 ◽  
Vol 67 (2) ◽  
pp. 2227-2242
Author(s):  
M. Premkumar ◽  
R. Sowmya ◽  
Pradeep Jangir ◽  
Kottakkaran Sooppy Nisar ◽  
Mujahed Aldhaifallah
Keyword(s):  
Direct Current ◽  
Design Problem ◽  
Optimization Algorithms ◽  
Metaheuristic Optimization ◽  
Motor Design ◽  
Metaheuristic Optimization Algorithms
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