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Motion Planning of Ground Simulator for Space Instable Target Based on Energy Saving

Xinlin Bai, Xiwen Li, Zhen Zhao, Mingyi Yang, Zhang Zhang, Zhigang Xu, Mingyang Liu, Qi Xia
2021 Machines  
The optimal joint path of motion simulator based on energy consumption under discontinuous singularity configuration is solved by constructing the complete energy consumption directed path and Dijkstra  ...  based on energy saving is proposed.  ...  An artificial bee colony algorithm and a genetic algorithm is studied to optimize the working path length and welding time of the welding robot, which minimizes the total amount of robot joint movement  ... 
doi:10.3390/machines9120368 fatcat:v67blqz35zccnngi7nanmpdfhi

A Dual-Thread Method for Time-Optimal Trajectory Planning in Joint Space Based on Improved NGA

Kaipeng Zhang, Ning Liu, Gao Wang
2020 Journal of Robotics  
To solve the problem that the time-consuming optimization process of Genetic Algorithm (GA) can erode the expected time-saving brought by the algorithm, time-optimal trajectory planning based on cubic  ...  spline was used, after the modification to classical fitness sharing function of NGA, a dual-threaded method utilizing elite strategy characteristic was designed which was based on Niche Genetic Algorithm  ...  Conflicts of Interest e authors declare that they have no conflicts of interest.  ... 
doi:10.1155/2020/6859589 fatcat:sdvpjdzgt5e3nkbrka3esfhwl4

Energy Consumption Prediction for 3-RRR PPM through Combining LSTM Neural Network with Whale Optimization Algorithm

Yin Gao, Ke Chen, Hong Gao, Hongmei Zheng, Lei Wang, Ping Xiao
2020 Mathematical Problems in Engineering  
After acquiring training data, the RMSE of the LSTM-NN reached 0.00041 using whale optimization algorithm (WOA) with no need for the gradient of the loss function, so the lack of solving precision in training  ...  In view of time-varying characteristics of energy consumption prediction, the network architecture was developed based on the principle of LSTM-NN, and root-mean-square error (RMSE) was taken as the loss  ...  On the other hand, an adaptive neural network (ANN) controller was developed using a K-agglomerative clustering method with adaptive weights and varied learning rates to tackle the optimal path planning  ... 
doi:10.1155/2020/6590397 fatcat:7osjizwjwrhsfj2iwjwhodmv3i

Review of Metaheuristics Inspired from the Animal Kingdom

Elena Niculina Dragoi, Vlad Dafinescu
2021 Mathematics  
The search for powerful optimizers has led to the development of a multitude of metaheuristic algorithms inspired from all areas.  ...  The centralized data indicated that 61.6% of the animal-based algorithms are inspired from vertebrates and 38.4% from invertebrates.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/math9182335 fatcat:lu4w7xjignedjazicqibu6ks2q

Application of Grey Wolf Optimization Algorithm: Recent Trends, Issues, and Possible Horizons

Emmanuel DADA, Stephen JOSEPH, David OYEWOLA, Alaba Ayotunde FADELE, Haruna CHİROMA, Shafi'i Muhammad ABDULHAMİD
This paper presents recent progress on Grey Wolf Optimization (GWO) algorithm, its variants and their applications, issues, and likely prospects.  ...  Highlights • Comprehensive study on the recent trends and progress of GWO algorithm. • Elaborate study of several GWO variants available in literature. • Limitations of existing variants of GWO algorithms  ...  Robotic and path planning Zhang et al. [41] used GWO to solve Unmanned Combat Aerial Vehicle (UCAV) two-dimension path planning problem.  ... 
doi:10.35378/gujs.820885 fatcat:3eucl76a2vbrfmsxrde3dh3w74

2020 Index IEEE/ASME Transactions on Mechatronics Vol. 25

2020 IEEE/ASME transactions on mechatronics  
for Quadrupedal Robot Locomotion on Dynamic Rigid Platforms; TMECH Aug. 2020 2035-2044 Isaksson, A.J., see Ding, H., 2143-2154 Ishii, H., see Li, C., TMECH Feb. 2020 84-94 Ishii, H., see Satake, Y  ...  ., TMECH Aug. 2020 1869-1877 Iwase, A., see Tanaka Hand-Operated Surgical Instruments for Robot-Assisted Microsurgery; TMECH Aug. 1933Aug  ...  ., +, TMECH Aug. 2020 2139 Development of a Whale-Shark-Inspired Gliding Robotic Fish With High Maneuverability.  ... 
doi:10.1109/tmech.2021.3049586 fatcat:k4ngjuvq7jc6pgfoh6irwtkvfi

Spiral Motion Enhanced Elite Whale Optimizer for Global Tasks

GuoChun Wang, Wenyong Gui, Guoxi Liang, Xuehua Zhao, Mingjing Wang, Majdi Mafarja, Hamza Turabieh, Junyi Xin, Huiling Chen, Xinsheng Ma, Yanxia Sun
2021 Complexity  
The whale optimization algorithm (WOA) is a high-performance metaheuristic algorithm that can effectively solve many practical problems and broad application prospects.  ...  To show the proposed method's performance, MEWOA is contrasted to other superior algorithms on a series of comprehensive benchmark functions and applied to practical engineering problems.  ...  One of the classes of the optimizers is based on an iteration-based evolution of the swarm.  ... 
doi:10.1155/2021/8130378 fatcat:ujw5u4b52nabrfwxt7xivuutpm

A comprehensive survey of sine cosine algorithm: variants and applications

Asma Benmessaoud Gabis, Yassine Meraihi, Seyedali Mirjalili, Amar Ramdane-Cherif
2021 Artificial Intelligence Review  
Furthermore, the applications of SCA in several domains such as classification, image processing, robot path planning, scheduling, radial distribution networks, and other engineering problems are described  ...  Sine Cosine Algorithm (SCA) is a recent meta-heuristic algorithm inspired by the proprieties of trigonometric sine and cosine functions.  ...  Kumar et al. (2020) hybridized an advanced SCA (ASCA) and advanced ACO (AACO) for solving the mobile robot path planning problem.  ... 
doi:10.1007/s10462-021-10026-y pmid:34092884 pmcid:PMC8171367 fatcat:moutlepxhvgvbk2arulqyaut6q

Sensor-Based Control for Collaborative Robots: Fundamentals, Challenges and Opportunities [article]

Andrea Cherubini, David Navarro-Alarcon
2020 arXiv   pre-print
The objective of this paper is to present a systematic review of existing sensor-based control methodologies for applications that involve direct interaction between humans and robots, in the form of either  ...  To this end, we first introduce the basic formulation of the sensor-servo problem, then present the most common approaches: vision-based, touch-based, audio-based, and distance-based control.  ...  In the robotics literature, two major approaches for task execution have emerged: path/motion planning [8] and sensor-based control [9].  ... 
arXiv:2007.02067v1 fatcat:qozztozlbfg4nolpfidhhgme2q

An improved African vultures optimization algorithm based on tent chaotic mapping and time-varying mechanism

Jiahao Fan, Ying Li, Tan Wang, Seyedali Mirjalili
2021 PLoS ONE  
Therefore, to further improve the African vultures optimization algorithm (AVOA), a new metaheuristic algorithm, an improved African vultures optimization algorithm based on tent chaotic mapping and time-varying  ...  Metaheuristic optimization algorithms are one of the most effective methods for solving complex engineering problems.  ...  Therefore, approximation algorithms have been increasingly applied to solve various real-world complex optimization problems, such as path planning [2] , path pursuit [3] , feature selection [4] , and  ... 
doi:10.1371/journal.pone.0260725 pmid:34847188 pmcid:PMC8631685 fatcat:qke45n4nmndwviyy6ltcc75co4

The role of principal component analysis in vowel acquisition research

Krisztina Zajdó, Jeannette van der Stelt, Ton G. Wempe
2004 Journal of the Acoustical Society of America  
The role of principal component analysis in vowel acquisition research Zajdo, K.; van der Stelt, J.M.; Wempe, A.G.  ...  Signal detection algorithms, data association algorithm, and tracking algorithm have been developed, and demonstrated.  ...  Laura Ray ͑Thayer School of Eng., Dartmouth College, Hanover, NH 03755͒ Since the 1990s research and development of digital feedforward active noise reduction ͑ANR͒ based on least-mean-square ͑LMS͒ algorithms  ... 
doi:10.1121/1.4785499 fatcat:cdj5floyg5cd5ch2nwidivx4nq

Development of a multi-drive submersible platform for deep seabed research

Tjasa Boh, John Billingsley, Robin S. Bradbeer, Paul Hodgson
2009 OCEANS 2009-EUROPE  
networks guided CFD based optimization Mohamed Abdel-Salam, Alexandria University, Faculty of Engineering Developing an IDE interface for the SNAP module Hermann Bertram, Bremen University, MARUM WCLES  ...  Tokyo Development of Compact Ocean Bottom Cabled Seismometers System for Spatially Dense Observation on Sea Floor and First Installation Plan Toshihiko Kanazawa, The University of Tokyo The IEO  ... 
doi:10.1109/oceanse.2009.5278287 fatcat:yax23ny4lrbibi545qm7rojjhe

Grafting acoustic instruments and signal processing: Creative control and augmented expressivity

Dan Overholt
2013 Journal of the Acoustical Society of America  
In addition, various measurement techniques for this type of space are explored and reported. 9:15 1aAA2. The effect of two different rooms on acoustical and perceptual measures of mixed choir sound.  ...  Sacred Harp singing, a common type of shape-note singing, is a centuries-old tradition of American community choral music.  ...  We have developed a cavitation detection algorithm based on time-frequency analysis with the Stockwell transform.  ... 
doi:10.1121/1.4830794 fatcat:2sexsmbypjcozjctnorzoiy7te

Engineering, Technology & Applied Science Research (ETASR), Vol. 11, No. 4, pp. 7291-7530

2021 Zenodo  
of science application, technology, and engineering.  ...  ETASR is indexed in the Web of Science Core Collection (former Web of Science/Thomson Reuters Master Journal List), through the Emerging Sources Citation Index, is a Crossref member (DOI prefix: 10.48084  ...  Keywords-cardiac stroke prediction; cardiovascular disease; whale optimization algorithm; crow search algorithm; hybrid optimization algorithm INTRODUCTION A cardiac stroke occurs when the blood flow to  ... 
doi:10.5281/zenodo.5506592 fatcat:73sj5nawgndeffb26wh6wnux4a

Initialisation Approaches for Population-Based Metaheuristic Algorithms: A Comprehensive Review

Jeffrey O. Agushaka, Absalom E. Ezugwu
2022 Applied Sciences  
The initialisation control parameters of population-based metaheuristic algorithms play a significant role in improving the performance of the algorithms.  ...  optimizers: bat algorithm (BA), Grey Wolf Optimizer (GWO), and butterfly optimization algorithm (BOA).  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app12020896 fatcat:medbvy4axbebzfhjxya6vf2y7m
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