Search Results

Continuous Time Learning Algorithms in Optimization and Game Theory,
Sylvain Sorin, in Dynamic Games and Applications (2023)
Keywords: Learning algorithms, Continuous time, Optimization, Game theory

Population Learning Algorithm for the Resource-Constrained Project Scheduling,
Piotr Jedrzejowicz and Ewa Ratajczak, from Springer (2006)
Keywords: Project scheduling, RCPSP, MRCPSP, Population Learning Algorithm

Genetic algorithm learning in a New Keynesian macroeconomic setup,
Cars Hommes, Tomasz Makarewicz, Domenico Massaro and Tom Smits, in Journal of Evolutionary Economics (2017)
Keywords: Expectation formation, Learning to forecast experiment, Genetic algorithm model of individual learning

The Influence of Learning Models and Personality on Learning Outcomes of Programming Algorithm Course in the Students’ Majoring in Information System at Stikom Ambon College,
Nurdin Ibrahim, Zulfiati Syahrial and Lukman Saleh, in International Journal of Educational Technology and Learning (2018)
Keywords: Learning models, Personality, Algorithm programming.

Customer Behaviour Analysis Using Machine Learning Algorithms,
Ram Krishan, from Emerald Group Publishing Limited (2023)
Keywords: Machine learning, customer, data analysis, algorithms, python, algorithmic-based auto-learning

A Machine Learning Algorithm That Experiences the Evolutionary Algorithm’s Predictions—An Application to Optimal Control,
Viorel Mînzu and Iulian Arama, in Mathematics (2024)
Keywords: evolutionary algorithm; machine learning; optimal control; simulation

An Analysis of the Most Used Machine Learning Algorithms for Online Fraud Detection,
Elena-Adriana Minastireanu and Gabriela Mesnita, in Informatica Economica (2019)
Keywords: Bank fraud, Detection algorithms, Machine-Learning algorithms, Online transactions

Comprehensive learning Jaya algorithm for engineering design optimization problems,
Yiying Zhang and Zhigang Jin, in Journal of Intelligent Manufacturing (2022)
Keywords: Jaya algorithm, Comprehensive learning, Metaheuristic algorithm, Engineering optimization

Genetic Algorithm for a Two-Agent Scheduling Problem with Truncated Learning Consideration,
Wen-Hsiang Wu, Yunqiang Yin, Shuenn-Ren Cheng, Peng-Hsiang Hsu and Chin-Chia Wu, in Asia-Pacific Journal of Operational Research (APJOR) (2014)
Keywords: Scheduling, genetic algorithm, truncated learning function

Modification of Learning Ratio and Drop-Out for Stochastic Gradient Descendant Algorithm,
Adrian Teso-Fz-Betoño, Ekaitz Zulueta, Mireya Cabezas-Olivenza, Unai Fernandez-Gamiz and Carlos Botana-M-Ibarreta, in Mathematics (2023)
Keywords: machine learning; neural network training; training algorithms

Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms,
Humna Khan, Travis J. Esau, Aitazaz A. Farooque and Farhat Abbas, in Agriculture (2022)
Keywords: machine learning algorithms; harvesting losses; wild blueberries

Analysis of herding behavior in individual investor portfolios using machine learning algorithms,
Taylan Mavruk, in Research in International Business and Finance (2022)
Keywords: Herding; Portfolio performance; Machine learning algorithms;

The great methods bake-off: Comparing performance of machine learning algorithms,
Alex Kigerl, Zachary Hamilton, Melissa Kowalski and Xiaohan Mei, in Journal of Criminal Justice (2022)
Keywords: Risk assessment; Machine learning; Prediction; Algorithm;

Predicting the Productivity of Municipality Workers: A Comparison of Six Machine Learning Algorithms,
Priya Bijalwan, Ashulekha Gupta, Anubhav Mendiratta, Amar Johri and Mohammad Asif, in Economies (2024)
Keywords: machine learning; algorithms; productivity; municipality; workers; incentives

Design of Metaheuristic Optimization Algorithms for Deep Learning Model for Secure IoT Environment,
Amit Sagu, Nasib Singh Gill, Preeti Gulia, Pradeep Kumar Singh and Wei-Chiang Hong, in Sustainability (2023)
Keywords: deep learning models; IoT security; optimization algorithms

Q-Learning Algorithms with Random Truncation Bounds and Applications to Effective Parallel Computing,
G. Yin, C. Z. Xu and L. Y. Wang, in Journal of Optimization Theory and Applications (2008)
Keywords: Q-learning, Recursive algorithms, Convergence, Rate of convergence

Algorithmic Collusion: Insights from Deep Learning,
Matthias Hettich, from Center for Quantitative Economics (CQE), University of Muenster (2021)
Keywords: Algorithmic Pricing, Collusion, Artificial Intelligence, Reinforcement Learning, DQN

Leave-two-out stability of ontology learning algorithm,
Jianzhang Wu, Xiao Yu, Linli Zhu and Wei Gao, in Chaos, Solitons & Fractals (2016)
Keywords: Ontology; Similarity measure; Learning algorithm; Ontology loss function; Stability;

Greedy active learning algorithm for logistic regression models,
Hsiang-Ling Hsu, Yuan-chin Ivan Chang and Ray-Bing Chen, in Computational Statistics & Data Analysis (2019)
Keywords: Active learning algorithm; D-efficiency criterion; Forward selection; Graft optimization;

Landslide Susceptibility Mapping with Deep Learning Algorithms,
Jules Maurice Habumugisha, Ningsheng Chen, Mahfuzur Rahman, Md Monirul Islam, Hilal Ahmad, Ahmed Elbeltagi, Gitika Sharma, Sharmina Naznin Liza and Ashraf Dewan, in Sustainability (2022)
Keywords: landslides; deep learning algorithm; geographic information system; Sichuan; China

Learning-augmented algorithms for online subset sum,
Chenyang Xu and Guochuan Zhang, in Journal of Global Optimization (2023)
Keywords: Competitive analysis, Subset sum, Learning-augmented algorithms, Untrusted predictions

Learning and behavioral stability An economic interpretation of genetic algorithms,
Thomas Riechmann, in Journal of Evolutionary Economics (1999)
Keywords: Learning , Computational economics , Genetic algorithms , Markov process , Evolutionary dynamics

Learning and Behavoiral Stability - An Economic Interpretation of Genetic Algorithms,
Thomas Riechmann, from Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät (1997)
Keywords: Learning, Computational economics, Genetic algorithms, Markov process, Evolutionary dynamics

Predicting Solar Irradiance at Several Time Horizons Using Machine Learning Algorithms,
Chibuzor N. Obiora, Ali N. Hasan and Ahmed Ali, in Sustainability (2023)
Keywords: deep learning; machine learning; solar irradiance; prediction; algorithms; time horizons

“Un”Fair Machine Learning Algorithms,
Runshan Fu, Manmohan Aseri, Param Vir Singh and Kannan Srinivasan, in Management Science (2022)
Keywords: algorithmic bias, economics of artificial intelligence, fair machine learning, equal impact, equal treatment

Using machine learning for NEETs and sustainability studies: Determining best machine learning algorithms,
Muhammet Berigel, Gizem Dilan Boztaş, Antonella Rocca and Gabriela Neagu, in Socio-Economic Planning Sciences (2024)
Keywords: Sustainability NEET; SDG; Machine learning algorithms;

Machine Learning Algorithms for Predictive Maintenance in Manufacturing,
James Kairo, in Journal of Technology and Systems (2024)
Keywords: Machine Learning Algorithms, Predictive Maintenance, Deep Learning, Ensemble Methods, Real-Time Monitoring

Combating money laundering with machine learning – applicability of supervised-learning algorithms at cryptocurrency exchanges,
Eric Pettersson Ruiz and Jannis Angelis, in Journal of Money Laundering Control (2021)
Keywords: Anti-money laundering, Machine learning, Supervised learning, Algorithms, Cryptocurrency

Deep learning for the detection of acquired and non-acquired skills in students' algorithmic assessments,
Floran Carvalho, Julien Henriet, Francoise Greffier, Marie-Laure Betbeder and Dana Leon-Henri, in Journal of Education and e-Learning Research (2023)
Keywords: Algorithmic learning, Deep learning, Personalized learning, Student exercise analysis, Text classification, Natural language processing.

Research on text data sentiment analysis algorithm integrating transfer learning and hierarchical attention network,
Qiang Wu, in International Journal of Networking and Virtual Organisations (2023)
Keywords: transfer learning; hierarchical attention; sentiment analysis; TLHANN algorithm; FMCSC algorithm.

Opposition-based Learning Cooking Algorithm (OLCA) for solving global optimization and engineering problems,
S. Gopi and Prabhujit Mohapatra, in International Journal of Modern Physics C (IJMPC) (2024)
Keywords: Learning Cooking Algorithm (LCA), Opposition-based Learning Cooking Algorithm (OLCA), opposition-based, meta-heuristic, optimization algorithms, human-based algorithms

Deep Reinforcement Learning Evolution Algorithm for Dynamic Antenna Control in Multi-Cell Configuration HAPS System,
Siyuan Yang, Mondher Bouazizi, Tomoaki Ohtsuki, Yohei Shibata, Wataru Takabatake, Kenji Hoshino and Atsushi Nagate, in Future Internet (2023)
Keywords: HAPS; antenna control; reinforcement learning; evolution algorithm

Deep Learning Network Based on Improved Sparrow Search Algorithm Optimization for Rolling Bearing Fault Diagnosis,
Guoyuan Ma, Xiaofeng Yue, Juan Zhu, Zeyuan Liu and Shibo Lu, in Mathematics (2023)
Keywords: sparrow search algorithm; deep learning; fault detection

How does the economic structure break change the forecast effect of money and credit on output? Evidence based on machine learning algorithms,
Yao Lu, Zhihui Zhao, Yuan Tian and Minghua Zhan, in Pacific-Basin Finance Journal (2024)
Keywords: Structural break; Money; Credit; Machine learning algorithm;

A High-Performance Federated Learning Aggregation Algorithm Based on Learning Rate Adjustment and Client Sampling,
Yulian Gao, Gehao Lu, Jimei Gao and Jinggang Li, in Mathematics (2023)
Keywords: distributed learning; federated learning; aggregation algorithm; weighted sampling; learning rate adjustment

Consumer behavior clustering of food retail chains by machine learning algorithms,
Olena Liashenko, Tetyana Kravets and Matvii Prokopenko, in Access Journal (2021)
Keywords: clustering, machine learning algorithms, food retail, behavioural economics, consumer behavior

Sentiment Analysis for Thai Language in Hotel Domain Using Machine Learning Algorithms,
Nattawat Khamphakdee and Pusadee Seresangtakul, in Acta Informatica Pragensia (2021)
Keywords: Feature extraction, Machine learning algorithms, Natural language processing, Sentiment analysis

Social learning-integrated flower pollination algorithm for influence maximization,
Qiwen Zhang and Yueyue Liu, in International Journal of Modern Physics C (IJMPC) (2024)
Keywords: Social networks, flower pollination algorithms, social learning, global optimization

Determinants of Renewable Energy Production in Egypt New Approach: Machine Learning Algorithms,
Hamdy Ahmad Aly Alhendawy, Mohammed Galal Abdallah Mostafa, Mohamed Ibrahim Elgohari, Ibrahim Abdalla Abdelraouf Mohamed, Nabil Medhat Arafat Mahmoud and Mohamed Ahmed Mohamed Mater, in International Journal of Energy Economics and Policy (2023)
Keywords: Renewable Energy Production, Egypt, Machine Learning Algorithms, Gradient Boosting

Applying machine learning algorithms to determine and predict the reasons and models for employee turnover,
Shardul Shankar, Ranjana Vyas and Vijayshri Tewari, in International Journal of Information Technology and Management (2024)
Keywords: employee turnover; machine learning; predictive algorithms; classification; voluntary turnover.

Multiple learning backtracking search algorithm for estimating parameters of photovoltaic models,
Kunjie Yu, J.J. Liang, B.Y. Qu, Zhiping Cheng and Heshan Wang, in Applied Energy (2018)
Keywords: Parameter identification; Photovoltaic model; Backtracking search algorithm; Multiple learning;

Robust extreme learning machine in the presence of outliers by iterative reweighted algorithm,
Kuaini Wang, Jinde Cao and Huimin Pei, in Applied Mathematics and Computation (2020)
Keywords: Neural networks; Extreme learning machine; Robust; Outliers; Iterative reweighted algorithm;

Research and analysis of deep learning image enhancement algorithm based on fractional differential,
Kai Liu and Yanzhao Tian, in Chaos, Solitons & Fractals (2020)
Keywords: Fractional differential; Deep learning; Image enhancement algorithm; Wavelet transform;

Comprehensive learning Jaya algorithm for parameter extraction of photovoltaic models,
Yiying Zhang, Maode Ma and Zhigang Jin, in Energy (2020)
Keywords: Photovoltaic models; Solar energy; Comprehensive learning; Jaya algorithm; Parameter extraction;

A New Machine Learning Algorithm Based on Optimization Method for Regression and Classification Problems,
Warunun Inthakon, Suthep Suantai, Panitarn Sarnmeta and Dawan Chumpungam, in Mathematics (2020)
Keywords: Hilbert space; convex minimization problem; machine learning; forward–backward algorithm

Accuracy Comparison between Five Machine Learning Algorithms for Financial Risk Evaluation,
Haokun Dong, Rui Liu and Allan W. Tham, in JRFM (2024)
Keywords: financial data analysis; machine learning algorithms; loan default assessment; classification

Quantum algorithm for learning secret strings and its experimental demonstration,
Yongzhen Xu, Shihao Zhang and Lvzhou Li, in Physica A: Statistical Mechanics and its Applications (2023)
Keywords: Quantum computing; String learning; Quantum algorithm; Query complexity;

Automatic soliton wave recognition using deep learning algorithms,
Abdullah Aksoy and Enes Yigit, in Chaos, Solitons & Fractals (2023)
Keywords: Soliton wave; Deep learning algorithm; Soliton generator; Soliton communication; CNNs;

MACHINE LEARNING ALGORITHMS FOR FORECASTING ASSET PRICES: AN APPLICATION TO THE HOUSING MARKET,
Anton Gerunov, in Economics and Management (2020)
Keywords: asset prices, real estate, forecasting algorithms, machine learning

Analysis of Various Machine Learning Algorithms for Using Drone Images in Livestock Farms,
Jerry Gao, Charanjit Kaur Bambrah, Nidhi Parihar, Sharvaree Kshirsagar, Sruthi Mallarapu, Hailong Yu, Jane Wu and Yunyun Yang, in Agriculture (2024)
Keywords: deep learning; DeepSort algorithm; livestock classification; object detection; object tracking

Necessity of Local Modification for Deep Learning Algorithms to Predict Diabetic Retinopathy,
Ching-Yao Tsai, Chueh-Tan Chen, Guan-An Chen, Chun-Fu Yeh, Chin-Tzu Kuo, Ya-Chuan Hsiao, Hsiao-Yun Hu, I-Lun Tsai, Ching-Hui Wang, Jian-Ren Chen, Su-Chen Huang, Tzu-Chieh Lu and Lin-Chung Woung, in IJERPH (2022)
Keywords: diabetic retinopathy; deep learning algorithms; model localised; Taiwan; predict

Slope Stability Prediction Method Based on Intelligent Optimization and Machine Learning Algorithms,
Yukun Yang, Wei Zhou, Izhar Mithal Jiskani, Xiang Lu, Zhiming Wang and Boyu Luan, in Sustainability (2023)
Keywords: machine learning; prediction; slope stability; genetic algorithm; characteristic variables

OPTCON3: An Active Learning Control Algorithm for Nonlinear Quadratic Stochastic Problems,
V. Blueschke-Nikolaeva, D. Blueschke and Reinhard Neck, in Computational Economics (2020)
Keywords: Stochastic optimal control, Active learning, Dual control, Algorithms

Analyzing the Impact of Strategic Behavior in an Evolutionary Learning Model Using a Genetic Algorithm,
Vinícius Ferraz and Thomas Pitz, in Computational Economics (2024)
Keywords: Game theory, Simulation, Genetic algorithms, Economic learning, Artificial intelligence

Impact of Weather Factors on Migration Intention Using Machine Learning Algorithms,
John O. R. Aoga, Juhee Bae, Stefanija Veljanoska, Siegfried Nijssen and Pierre Schaus, in SN Operations Research Forum (2024)
Keywords: Migration, Weather shocks, Machine learning, Tree-based algorithms

A Genetic Algorithms Approach: Social Aggregation and Learning with Heterogeneous Agents,
Davide Fiaschi and Pier Mario Pacini, from Springer (2005)
Keywords: Coalition formation, Learning, Genetic Algorithms, Increasing returns to scale, Numerical simulations

Impact of Weather Factors on Migration Intention using Machine Learning Algorithms,
Juhee Bae, John Aoga, Stefanija Veljanoska, Siegfried Nijssen and Pierre Schaus, from Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES) (2020)
Keywords: Migration, Weather shocks, Machine learning, Tree-based algorithms

Towards application of machine learning algorithms for prediction temperature distribution within CFB boiler based on specified operating conditions,
Jaroslaw Grochowalski, Piotr Jachymek, Marek Andrzejczyk, Marcin Klajny, Agata Widuch, Pawel Morkisz, Bartłomiej Hernik, Janusz Zdeb and Wojciech Adamczyk, in Energy (2021)
Keywords: Prediction; Machine learning; CFB; Erosion; Boiler malfunction; Deep learning algorithms;

Relaxation Subgradient Algorithms with Machine Learning Procedures,
Vladimir Krutikov, Svetlana Gutova, Elena Tovbis, Lev Kazakovtsev and Eugene Semenkin, in Mathematics (2022)
Keywords: relaxation subgradient methods; space dilation; nonsmooth minimization methods; machine learning algorithm

Machine learning-driven algorithms for the container relocation problem,
Canrong Zhang, Hao Guan, Yifei Yuan, Weiwei Chen and Tao Wu, in Transportation Research Part B: Methodological (2020)
Keywords: Container relocation; branch-and-bound algorithm; beam search; machine learning-driven technique;

Adaptive learning in an asymmetric auction: genetic algorithm approach,
Kirill Chernomaz, in Journal of Economic Interaction and Coordination (2014)
Keywords: Agent-based simulations, Genetic algorithm, Learning, Asymmetric auctions, Nash equilibrium, C63, D44, D83,

Keeping Control on Deep Learning Image Recognition Algorithms,
Tjitske Jager and Eric Westhoek, from Springer (2023)
Keywords: Algorithm assurance, Auditing, Machine learning, Assurance, Cyber security, IT Governance, Internal control, Enterprise risk management

Learning and Non-Linear Misspecification,
Christophre Georges, from Society for Computational Economics (2002)
Keywords: learning, genetic algorithm, misspecification

An Accelerated Convex Optimization Algorithm with Line Search and Applications in Machine Learning,
Dawan Chumpungam, Panitarn Sarnmeta and Suthep Suantai, in Mathematics (2022)
Keywords: forward–backward algorithm; line search; accelerated algorithm; convex minimization problems; data classification; machine learning

A Hybrid Reinforcement Learning Algorithm for 2D Irregular Packing Problems,
Jie Fang, Yunqing Rao, Xusheng Zhao and Bing Du, in Mathematics (2023)
Keywords: irregular packing optimization; RL algorithm; machine learning; mathematical model; heuristic algorithm

Using a Genetic Algorithm to Improve Recurrent Reinforcement Learning for Equity Trading,
Jin Zhang and Dietmar Maringer, in Computational Economics (2016)
Keywords: Artificial intelligence, Algorithmic trading, Recurrent reinforcement learning, Genetic algorithm, Indicator selection, Sharpe ratio

Deriving a prototype for the dynamic generation of learning path in an e-learning environment using genetic algorithm,
D. Anitha and C. Deisy, in International Journal of Innovation and Learning (2013)
Keywords: personalised e-learning; dynamic learning paths; innovation; Bloom's taxonomy; genetic algorithms; electronic learning; online learning; teaching methodology; learner assessment.

Using Optimized Deep Learning to Predict Daily Streamflow: A Comparison to Common Machine Learning Algorithms,
Khabat Khosravi, Ali Golkarian and John P. Tiefenbacher, in Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA) (2022)
Keywords: CNN-BAT, Streamflow prediction, Antecedent rainfall, Deep learning, BAT algorithm

Improved Self-Learning Genetic Algorithm for Solving Flexible Job Shop Scheduling,
Ming Jiang, Haihan Yu and Jiaqing Chen, in Mathematics (2023)
Keywords: self-learning genetic algorithm; flexible job shop scheduling; self-learning variational strategy

A wind speed forecasting model based on multi-objective algorithm and interpretability learning,
Min Li, Yi Yang, Zhaoshuang He, Xinbo Guo, Ruisheng Zhang and Bingqing Huang, in Energy (2023)
Keywords: Wind speed forecasting; Partial mutual information; Machine learning algorithm; Perturbation; Interpretable learning;

An Improved Q-Learning Algorithm for Optimizing Sustainable Remanufacturing Systems,
Shujin Qin, Xiaofei Zhang, Jiacun Wang, Xiwang Guo, Liang Qi, Jinrui Cao and Yizhi Liu, in Sustainability (2024)
Keywords: reinforcement learning; improved Q-learning algorithm; two-sided disassembly line balancing; human–robot collaboration

A reinforcement learning-based load balancing algorithm for fog computing,
Niloofar Tahmasebi-Pouya, Mehdi Agha Sarram and Seyedakbar Mostafavi, in Telecommunication Systems: Modelling, Analysis, Design and Management (2023)
Keywords: Delay, Fog computing, Internet of things, Load balancing, Q-learning algorithm, Reinforcement learning

Learning Dynamics in an Artificial Currency Market,
Christophre Georges, from Society for Computational Economics (2001)
Keywords: Learning, Genetic Algorithm, Currency

Learning Dynamics, Nonlinear Misspecification, and Trading,
John C. Wallace and Christophre Georges, from Society for Computational Economics (2003)
Keywords: Learning, Expectations, Evolutionary Algorithm

Evolution as Learning Yields Hyperbolic Discounting,
James Woods, from University Library of Munich, Germany (2003)
Keywords: discounting, genetic algorithms, learning

An Algorithmic Crystal Ball: Forecasts-based on Machine Learning,
Jin-Kyu Jung, Manasa Patnam and Anna Ter-Martirosyan, from International Monetary Fund (2018)
Keywords: WP;machine learning algorithm;real GDP;test data;time series; Machine learning; forecasts; forecast errors; machine learning model; WEO forecast; data set; benchmark WEO performance; Random Forest algorithm; generation process; decision tree algorithm; time-series data; WEO benchmark; Random Forest algorithms to nowcast GDP growth; training data; Artificial intelligence; Global

Towards Sustainable Energy Systems Considering Unexpected Sports Event Management: Integrating Machine Learning and Optimization Algorithms,
Lei Zhang and Ying Yang, in Sustainability (2023)
Keywords: sustainable energy systems; sports event management; machine learning; optimization algorithms; reinforcement learning; bat evolutionary algorithm

Comparative Assessment to Predict and Forecast Water-Cooled Chiller Power Consumption Using Machine Learning and Deep Learning Algorithms,
Elsa Chaerun Nisa and Yean- Der Kuan, in Sustainability (2021)
Keywords: water-cooled chiller; prediction model; time-series forecasting model; machine learning algorithms; deep learning algorithms; power consumption

Hierarchical Learning-Enhanced Chaotic Crayfish Optimization Algorithm: Improving Extreme Learning Machine Diagnostics in Breast Cancer,
Jilong Zhang and Yuan Diao, in Mathematics (2024)
Keywords: meta-heuristic algorithm; chaotic map; crayfish optimization algorithm; extreme learning machine

Recent innovation in benchmark rates (BMR): evidence from influential factors on Turkish Lira Overnight Reference Interest Rate with machine learning algorithms,
Özer Depren, Mustafa Kartal and Serpil Kılıç Depren, in Financial Innovation (2021)
Keywords: Benchmark rate, Determinants, Machine learning algorithms, Turkey

Présentation des algorithmes génétiques et de leurs applications en économie,
Thomas Vallee and Murat Yildizoglu, from HAL (2004)
Keywords: Genetic Algorithms,Optimisation,Learning

Strategic choice of price-setting algorithms,
Katrin Buchali, Jens Grüb, Matthias Muijs and Ulrich Schwalbe, from University of Hohenheim, Faculty of Business, Economics and Social Sciences (2023)
Keywords: pricing algorithms, algorithmic collusion, reinforcement learning

Learning to select operators in meta-heuristics: An integration of Q-learning into the iterated greedy algorithm for the permutation flowshop scheduling problem,
Maryam Karimi-Mamaghan, Mehrdad Mohammadi, Bastien Pasdeloup and Patrick Meyer, in European Journal of Operational Research (2023)
Keywords: Combinatorial optimization; Iterated greedy meta-heuristic; Reinforcement learning; Q-Learning algorithm; Permutation flowshop scheduling problem;

Hybrid Machine Learning and Modified Teaching Learning-Based English Optimization Algorithm for Smart City Communication,
Xing Liu, Xiaojing Zhang and Aliasghar Baziar, in Sustainability (2023)
Keywords: hybrid machine learning; teaching learning-based optimization algorithm; smart city communication; energy management

Performance Comparison of an LSTM-based Deep Learning Model versus Conventional Machine Learning Algorithms for Streamflow Forecasting,
Maryam Rahimzad, Alireza Moghaddam Nia, Hosam Zolfonoon, Jaber Soltani, Ali Danandeh Mehr and Hyun-Han Kwon, in Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA) (2021)
Keywords: Streamflow forecasting, Data-driven modeling, LSTM, Deep learning, Machine learning algorithms

Algorithmic bias in machine learning-based marketing models,
Shahriar Akter, Yogesh K. Dwivedi, Shahriar Sajib, Kumar Biswas, Ruwan J. Bandara and Katina Michael, in Journal of Business Research (2022)
Keywords: Algorithmic bias; Machine learning; Marketing models; Data bias; Design bias; Socio-cultural bias; Microfoundations; Dynamic managerial capability;

Task Scheduling for Federated Learning in Edge Cloud Computing Environments by Using Adaptive-Greedy Dingo Optimization Algorithm and Binary Salp Swarm Algorithm,
Weihong Cai and Fengxi Duan, in Future Internet (2023)
Keywords: edge cloud computing; Internet of things; dingo optimization algorithm; salp swarm algorithm; federated learning

A randomized-algorithm-based decomposition-ensemble learning methodology for energy price forecasting,
Ling Tang, Yao Wu and Lean Yu, in Energy (2018)
Keywords: Decomposition-ensemble learning methodology; Randomized algorithm; Energy price forecasting; Extreme learning machine; Random vector functional link network; Random kitchen sinks;

A Branch-and-Bound Algorithm for Two-Agent Scheduling with Learning Effect and Late Work Criterion,
Shang-Chia Liu, Jiahui Duan, Win-Chin Lin, Wen-Hsiang Wu, Jan-Yee Kung, Hau Chen and Chin-Chia Wu, in Asia-Pacific Journal of Operational Research (APJOR) (2018)
Keywords: Scheduling, sum-of-processing-times-based learning, two-agent, tabu algorithm

Prediction of wind speed using a new Grey-extreme learning machine hybrid algorithm: A case study,
Mojtaba Qolipour, Ali Mostafaeipour, Mohammad Saidi-Mehrabad and Hamid R Arabnia, in Energy & Environment (2019)
Keywords: Prediction; wind speed; Grey algorithm; extreme learning machine; Homer software