An enhanced grey wolf optimizer boosted machine learning prediction model for patient-flow prediction.

[1]  Yuanjing Feng,et al.  JAMSNet: A Remote Pulse Extraction Network Based on Joint Attention and Multi-Scale Fusion , 2023, IEEE Transactions on Circuits and Systems for Video Technology.

[2]  R. Mansour,et al.  Renal Pathology Images Segmentation Based on Improved Cuckoo Search with Diffusion Mechanism and Adaptive Beta-Hill Climbing , 2023, Journal of Bionic Engineering.

[3]  Ali Asghar Heidari,et al.  Dynamic Individual Selection and Crossover Boosted Forensic-based Investigation Algorithm for Global Optimization and Feature Selection , 2023, Journal of Bionic Engineering.

[4]  Xiaoyu Cao,et al.  Resilience Constrained Scheduling of Mobile Emergency Resources in Electricity-Hydrogen Distribution Network , 2023, IEEE Transactions on Sustainable Energy.

[5]  Libao Deng,et al.  A population state evaluation-based improvement framework for differential evolution , 2023, Inf. Sci..

[6]  Ali Asghar Heidari,et al.  Multi-verse Optimizer with Rosenbrock and Diffusion Mechanisms for Multilevel Threshold Image Segmentation from COVID-19 Chest X-Ray Images , 2023, Journal of Bionic Engineering.

[7]  Majdi M. Mafarja,et al.  Slime mould algorithm: a comprehensive review of recent variants and applications , 2022, International Journal of Systems Science.

[8]  Ali Asghar Heidari,et al.  A Boosted Communicational Salp Swarm Algorithm: Performance Optimization and Comprehensive Analysis , 2022, Journal of Bionic Engineering.

[9]  Yanan Zhang,et al.  Crisscross Harris Hawks Optimizer for Global Tasks and Feature Selection , 2022, Journal of Bionic Engineering.

[10]  Liangxing Wang,et al.  Identification of Pulmonary Hypertension Animal Models Using a New Evolutionary Machine Learning Framework Based on Blood Routine Indicators , 2022, Journal of Bionic Engineering.

[11]  Huiling Chen,et al.  Boosting Whale Optimizer with Quasi-Oppositional Learning and Gaussian Barebone for Feature Selection and COVID-19 Image Segmentation , 2022, Journal of Bionic Engineering.

[12]  Wu Deng,et al.  Co-evolutionary competitive swarm optimizer with three-phase for large-scale complex optimization problem , 2022, Inf. Sci..

[13]  Shizhan Chen,et al.  Research Roadmap of Service Ecosystems: A Crowd Intelligence Perspective , 2022, International Journal of Crowd Science.

[14]  Pengjun Wang,et al.  Double Mutational Salp Swarm Algorithm: From Optimal Performance Design to Analysis , 2022, Journal of Bionic Engineering.

[15]  Guoqing Yang,et al.  Two-level parameter cooperation-based population regeneration framework for differential evolution , 2022, Swarm Evol. Comput..

[16]  Yuntian Teng,et al.  Multi-strategies Boosted Mutative Crow Search Algorithm for Global Tasks: Cases of Continuous and Discrete Optimization , 2022, Journal of Bionic Engineering.

[17]  Ferrante Neri,et al.  A multi-objective evolutionary algorithm with interval based initialization and self-adaptive crossover operator for large-scale feature selection in classification , 2022, Appl. Soft Comput..

[18]  D. Xia,et al.  Metaheuristic-based support vector regression for landslide displacement prediction: a comparative study , 2022, Landslides.

[19]  Ferrante Neri,et al.  An ensemble of differential evolution and Adam for training feed-forward neural networks , 2022, Inf. Sci..

[20]  Ali Asghar Heidari,et al.  Simulated annealing-based dynamic step shuffled frog leaping algorithm: Optimal performance design and feature selection , 2022, Neurocomputing.

[21]  B. Qu,et al.  Utilizing the Relationship Between Unconstrained and Constrained Pareto Fronts for Constrained Multiobjective Optimization , 2022, IEEE Transactions on Cybernetics.

[22]  Yuren Zhou,et al.  An integrated framework with evolutionary algorithm for multi-scenario multi-objective optimization problems , 2022, Inf. Sci..

[23]  Yuan Dai,et al.  MSEva: A Musculoskeletal Rehabilitation Evaluation System Based on EMG Signals , 2022, ACM Trans. Sens. Networks.

[24]  Huimin Zhao,et al.  An Enhanced MSIQDE Algorithm With Novel Multiple Strategies for Global Optimization Problems , 2022, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[25]  R. Tavakkoli-Moghaddam,et al.  Simulation of the COVID-19 patient flow and investigation of the future patient arrival using a time-series prediction model: a real-case study , 2022, Medical & Biological Engineering & Computing.

[26]  Ali Asghar Heidari,et al.  INFO: An efficient optimization algorithm based on weighted mean of vectors , 2022, Expert Syst. Appl..

[27]  Hamza Turabieh,et al.  Boosted kernel search: Framework, analysis and case studies on the economic emission dispatch problem , 2021, Knowl. Based Syst..

[28]  Dongmei Mu,et al.  Prediction of Obstetric Patient Flow and Horizontal Allocation of Medical Resources Based on Time Series Analysis , 2021, Frontiers in Public Health.

[29]  Kun Zhu,et al.  Software defect prediction based on enhanced metaheuristic feature selection optimization and a hybrid deep neural network , 2021, J. Syst. Softw..

[30]  Guang Yang,et al.  Transfer Learning Enhanced Generative Adversarial Networks for Multi-Channel MRI Reconstruction , 2021, Comput. Biol. Medicine.

[31]  A. Gandomi,et al.  The Colony Predation Algorithm , 2021, Journal of Bionic Engineering.

[32]  Amir H. Gandomi,et al.  RUN beyond the metaphor: An efficient optimization algorithm based on Runge Kutta method , 2021, Expert Syst. Appl..

[33]  Amir H. Gandomi,et al.  Hunger games search: Visions, conception, implementation, deep analysis, perspectives, and towards performance shifts , 2021, Expert Syst. Appl..

[34]  Libao Deng,et al.  An adaptive regeneration framework based on search space adjustment for differential evolution , 2021, Neural Computing and Applications.

[35]  Liangliang Jin,et al.  A two-stage solution method based on NSGA-II for Green Multi-Objective integrated process planning and scheduling in a battery packaging machinery workshop , 2020, Swarm Evol. Comput..

[36]  Ying Chen,et al.  Towards augmented kernel extreme learning models for bankruptcy prediction: Algorithmic behavior and comprehensive analysis , 2020, Neurocomputing.

[37]  Huiling Chen,et al.  Slime mould algorithm: A new method for stochastic optimization , 2020, Future Gener. Comput. Syst..

[38]  Pengjun Wang,et al.  Efficient multi-population outpost fruit fly-driven optimizers: Framework and advances in support vector machines , 2020, Expert Syst. Appl..

[39]  Mengjie Zhang,et al.  Self-Adaptive Particle Swarm Optimization for Large-Scale Feature Selection in Classification , 2019, ACM Trans. Knowl. Discov. Data.

[40]  Anupama Kaushik,et al.  A hybrid model of wavelet neural network and metaheuristic algorithm for software development effort estimation , 2019, International Journal of Information Technology.

[41]  Rahim Ali Abbaspour,et al.  Efficient boosted grey wolf optimizers for global search and kernel extreme learning machine training , 2019, Appl. Soft Comput..

[42]  Hossam Faris,et al.  Harris hawks optimization: Algorithm and applications , 2019, Future Gener. Comput. Syst..

[43]  Mostafa A. El-Hosseini,et al.  Biped robot stability based on an A-C parametric Whale Optimization Algorithm , 2019, J. Comput. Sci..

[44]  Wei He,et al.  A Modified Sine-Cosine Algorithm Based on Neighborhood Search and Greedy Levy Mutation , 2018, Comput. Intell. Neurosci..

[45]  Diego Oliva,et al.  An improved Opposition-Based Sine Cosine Algorithm for global optimization , 2017, Expert Syst. Appl..

[46]  Hossam Faris,et al.  Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems , 2017, Adv. Eng. Softw..

[47]  Nhat-Duc Hoang,et al.  Groutability estimation of grouting processes with cement grouts using Differential Flower Pollination Optimized Support Vector Machine , 2016, Appl. Soft Comput..

[48]  Jui-Sheng Chou,et al.  Metaheuristic optimization within machine learning-based classification system for early warnings related to geotechnical problems , 2016 .

[49]  Andrew Lewis,et al.  The Whale Optimization Algorithm , 2016, Adv. Eng. Softw..

[50]  Seyedali Mirjalili,et al.  SCA: A Sine Cosine Algorithm for solving optimization problems , 2016, Knowl. Based Syst..

[51]  Seyed Mohammad Mirjalili,et al.  Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm , 2015, Knowl. Based Syst..

[52]  Simon M. Hsiang,et al.  Social Network based sensitivity analysis for patient flow using computer simulation , 2015, Comput. Ind. Eng..

[53]  Jui-Sheng Chou,et al.  Evolutionary metaheuristic intelligence to simulate tensile loads in reinforcement for geosynthetic-reinforced soil structures , 2015 .

[54]  Andrew Lewis,et al.  Grey Wolf Optimizer , 2014, Adv. Eng. Softw..

[55]  Francisco Herrera,et al.  A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms , 2011, Swarm Evol. Comput..

[56]  Francisco Herrera,et al.  Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power , 2010, Inf. Sci..

[57]  Xin-She Yang,et al.  A New Metaheuristic Bat-Inspired Algorithm , 2010, NICSO.

[58]  Rainer Storn,et al.  Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..

[59]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.

[60]  Xiao Wang,et al.  Computational Experiments for Complex Social Systems—Part III: The Docking of Domain Models , 2024, IEEE Transactions on Computational Social Systems.

[61]  C. Yue,et al.  A Correlation-Guided Layered Prediction Approach for Evolutionary Dynamic Multiobjective Optimization , 2023, IEEE Transactions on Evolutionary Computation.

[62]  Jie Zhou,et al.  Recognition of Imbalanced Epileptic EEG Signals by a Graph-Based Extreme Learning Machine , 2021, Wirel. Commun. Mob. Comput..

[63]  Mohsen Bayati,et al.  PatientFlowNet: A Deep Learning Approach to Patient Flow Prediction in Emergency Departments , 2021, IEEE Access.

[64]  Ravi Kumar Jatoth,et al.  Hybridizing sine cosine algorithm with differential evolution for global optimization and object tracking , 2018, Appl. Soft Comput..