META-HEURISTICS

作品数：25被引量：49H指数：4
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Q-learning Based Meta-Heuristics for Scheduling Bi-Objective Surgery Problems with Setup Time
《Complex System Modeling and Simulation》2024年第4期321-338,共18页Ruixue Zhang Hui Yu Adam Slowik Kaizhou Gao 
supported by the National Natural Science Foundation of China under Grant 62173356;the Science and Technology Development Fund(FDCT),Macao,China,under Grant 0019/2021/A,Zhuhai Industry-University-Research Project with Hong Kong and Macao under Grant ZH22017002210014PWC,the Guangdong Basic and Applied Basic Research Foundation(2023A1515011531);research on the Key Technologies for Scheduling and Optimization of Complex Distributed Manufacturing Systems(22JR10KA007).
Since the increasing demand for surgeries in hospitals,the surgery scheduling problems have attracted extensive attention.This study focuses on solving a surgery scheduling problem with setup time.First a mathematical...
关键词：surgery scheduling META-HEURISTICS Q-earning MAKESPAN 
Q-Learning-Assisted Meta-Heuristics for Scheduling Distributed Hybrid Flow Shop Problems
《Computers, Materials & Continua》2024年第9期3573-3589,共17页Qianyao Zhu Kaizhou Gao Wuze Huang Zhenfang Ma Adam Slowik 
partially supported by the Guangdong Basic and Applied Basic Research Foundation(2023A1515011531);the National Natural Science Foundation of China under Grant 62173356;the Science and Technology Development Fund(FDCT),Macao SAR,under Grant 0019/2021/A;Zhuhai Industry-University-Research Project with Hongkong and Macao under Grant ZH22017002210014PWC;the Key Technologies for Scheduling and Optimization of Complex Distributed Manufacturing Systems(22JR10KA007).
The flow shop scheduling problem is important for the manufacturing industry.Effective flow shop scheduling can bring great benefits to the industry.However,there are few types of research on Distributed Hybrid Flow S...
关键词：Distributed scheduling hybrid flow shop META-HEURISTICS local search Q-LEARNING 
Meta-Heuristic Optimized Hybrid Wavelet Features for Arrhythmia Classification
《Intelligent Automation & Soft Computing》2023年第7期745-761,共17页S.R.Deepa M.Subramoniam R.Swarnalatha S.Poornapushpakala S.Barani 
The non-invasive evaluation of the heart through EectroCardioG-raphy(ECG)has played a key role in detecting heart disease.The analysis of ECG signals requires years of learning and experience to interpret and extract ...
关键词：Arrhythmia classification abnormal heartbeats WAVELETS meta-heuristics algorithm neural network signal classification 
Adaptive Dynamic Dipper Throated Optimization for Feature Selection in Medical Data
《Computers, Materials & Continua》2023年第4期1883-1900,共18页Ghada Atteia El-Sayed M.El-kenawy Nagwan Abdel Samee Mona M.Jamjoom Abdelhameed Ibrahim Abdelaziz A.Abdelhamid Ahmad Taher Azar Nima Khodadadi Reham A.Ghanem Mahmoud Y.Shams 
Princess Nourah bint Abdulrahman University Researchers Supporting Project Number (PNURSP2022R104),Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia.
The rapid population growth results in a crucial problem in the early detection of diseases inmedical research.Among all the cancers unveiled,breast cancer is considered the second most severe cancer.Consequently,an e...
关键词：Medical dataset breast cancer guided whale optimizer dipper throated optimizer feature selection META-HEURISTICS 
Consensus-based dispatch optimization of a microgrid considering meta-heuristic-based demand response scheduling and network packet loss characterization被引量：3
《Energy and AI》2023年第1期71-89,共19页Ali M.Jasim Basil H.Jasim Soheil Mohseni Alan C.Brent 
The uncertainty inherent in power load forecasts represents a major factor in the mismatches between supply and demand in renewables-rich electricity networks, which consequently increases the energy bills and curtail...
关键词：Demand-side management Optimal scheduling Microgrids Distribution generation Consensus algorithm META-HEURISTICS 
Optimization Techniques in University Timetabling Problem:Constraints,Methodologies,Benchmarks,and Open Issues
《Computers, Materials & Continua》2023年第3期6461-6484,共24页Abeer Bashab Ashraf Osman Ibrahim Ibrahim Abakar Tarigo Hashem Karan Aggarwal Fadhil Mukhlif Fuad A.Ghaleb Abdelzahir Abdelmaboud 
This research work was supported by the University Malaysia Sabah,Malaysia.
University timetabling problems are a yearly challenging task and are faced repeatedly each semester.The problems are considered nonpolynomial time(NP)and combinatorial optimization problems(COP),which means that they...
关键词：University timetabling timetabling approaches META-HEURISTICS combinatorial optimization 
Meta-heuristics for Feature Selection and Classification in Diagnostic Breast Cancer
《Computers, Materials & Continua》2022年第10期749-765,共17页Doaa Sami Khafaga Amel Ali Alhussan El-Sayed M.El-kenawy Ali E.Takieldeen Tarek M.Hassan Ehab A.Hegazy Elsayed Abdel Fattah Eid Abdelhameed Ibrahim Abdelaziz A.Abdelhamid 
Princess Nourah bint Abdulrahman University Researchers Supporting Project number(PNURSP2022R308),Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia.
One of the most common kinds of cancer is breast cancer.The early detection of it may help lower its overall rates of mortality.In this paper,we robustly propose a novel approach for detecting and classifying breast c...
关键词：Breast cancer image segmentation dipper throated optimization feature selection META-HEURISTICS 
Roosters Algorithm:A Novel Nature-Inspired Optimization Algorithm
《Computer Systems Science & Engineering》2022年第8期727-737,共11页Mashar Gencal Mustafa Oral 
Some species of females,e.g.,chicken,bird,fish etc.,might mate with more than one males.In the mating of these polygamous creatures,there is competition between males as well as among their offspring.Thus,male reprodu...
关键词：Evolutionary computation META-HEURISTICS OPTIMIZATION roosters algorithm 
Predicting rock size distribution in mine blasting using various novel soft computing models based on meta-heuristics and machine learning algorithms被引量：5
《Geoscience Frontiers》2021年第3期458-472,共15页Chengyu Xie Hoang Nguyen Xuan-Nam Bui Yosoon Choi Jian Zhou Thao Nguyen-Trang 
supported by the Center for Mining,Electro-Mechanical research of Hanoi University of Mining and Geology(HUMG),Hanoi,Vietnam;financially supported by the Hunan Provincial Department of Education General Project(19C1744);Hunan Province Science Foundation for Youth Scholars of China fund(2018JJ3510);the Innovation-Driven Project of Central South University(2020CX040)。
Blasting is well-known as an effective method for fragmenting or moving rock in open-pit mines.To evaluate the quality of blasting,the size of rock distribution is used as a critical criterion in blasting operations.A...
关键词：Mine blasting Rock fragmentation Artificial intelligence Hybrid model Gradient boosting machine Meta-heuristic algorithm 
An efficient migrating birds optimization algorithm with idle time reduction for Type-I multi-manned assembly line balancing problem被引量：3
《Journal of Systems Engineering and Electronics》2021年第2期286-296,共11页ZHANG Zikai TANG Qiuhua LI Zixiang HAN Dayong 
supported by the National Natural Science Foundation of China(51875421,61803287).
Multi-manned assembly line,which is broadly utilized to assemble high volume products such as automobiles and trucks,allows a group of workers to assemble different tasks simultaneously in a multi-manned workstation.T...
关键词：multi-manned assembly line balancing migrating birds optimization META-HEURISTICS 
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