AIPSO: Adaptive Informed Particle Swarm Optimization. - Mehdi Neshat; Masoud Rezaei (IEEE Conf. of Intelligent Systems, 2010)

Hopfield neural network and fuzzy Hopfield neural network for diagnosis of liver disorders. - Mehdi Neshat; Abas E. Zadeh (IEEE Conf. of Intelligent Systems, 2010)

Harmony-based feature selection to improve the nearest neighbor classification. - Ali Adeli; Mehrnoosh Sinaee; M. Javad Zomorodian; Mehdi Neshat (CCSEIT, 2012)

Improving Nearest Neighbor Classification Using Particle Swarm Optimization with Novel Fitness Function. - Ali Adeli; Ahmad Ghorbani-Rad; M. Javad Zomorodian; Mehdi Neshat; Saeed Mozaffari (ICCCI (2), 2012)

FAIPSO: fuzzy adaptive informed particle swarm optimization. - Mehdi Neshat (Neural Comput. Appl., 2013)

Swallow swarm optimization algorithm: a new method to optimization. - Mehdi Neshat; Ghodrat Sepidnam; Mehdi Sargolzaei (Neural Comput. Appl., 2013)

Artificial fish swarm algorithm: a survey of the state-of-the-art, hybridization, combinatorial and indicative applications. - Mehdi Neshat; Ghodrat Sepidnam; Mehdi Sargolzaei; Adel Nadjaran Toosi (Artif. Intell. Rev., 2014)

Recognising the kind of cloud using a new fuzzy knowledge-based system. - Mehdi Neshat; Mohhammad Ahmadi (Int. J. Reason. based Intell. Syst., 2016)

A hybrid fuzzy knowledge-based system for forest fire risk forecasting. - Mehdi Neshat; Masoud Tabatabi; Ebrahim Zahmati; Mohhammad Shirdel (Int. J. Reason. based Intell. Syst., 2016)

Designing an Adaptive Neuro Fuzzy Inference System for Prediction of Customers Satisfaction. - Mehdi Neshat; Ali Akbar Pourahmad; Mohammad Reza Hasani (J. Inf. Knowl. Manag., 2016)

Using LibQUAL Model for Improving the Level of Students' Satisfaction from Quality of Services in Academic Libraries: A Case Study in North Khorasan Province, Iran. - Ali Akbar Pourahmad; Mehdi Neshat; Mohammad Reza Hasani (J. Inf. Knowl. Manag., 2016)

A detailed comparison of meta-heuristic methods for optimising wave energy converter placements. - Mehdi Neshat; Bradley Alexander; Markus Wagner 007; Yuanzhong Xia (GECCO, 2018)

A hybrid evolutionary algorithm framework for optimising power take off and placements of wave energy converters. - Mehdi Neshat; Bradley Alexander; Nataliia Y. Sergiienko; Markus Wagner 007 (GECCO, 2019)

Adaptive Neuro-Surrogate-Based Optimisation Method for Wave Energy Converters Placement Optimisation. - Mehdi Neshat; Ehsan Abbasnejad; Qinfeng Shi; Bradley Alexander; Markus Wagner 007 (ICONIP (2), 2019)

A new insight into the Position Optimization of Wave Energy Converters by a Hybrid Local Search. - Mehdi Neshat; Bradley Alexander; Nataliia Y. Sergiienko; Markus Wagner 007 (CoRR, 2019)

Covariance Matrix Adaptation Greedy Search Applied to Water Distribution System Optimization. - Mehdi Neshat; Bradley Alexander; Angus R. Simpson (CoRR, 2019)

Wave Energy Converters. - Mehdi Neshat; Markus Wagner 007; Bradley Alexander (UCI Machine Learning Repository, 2019)

Optimisation of large wave farms using a multi-strategy evolutionary framework. - Mehdi Neshat; Bradley Alexander; Nataliia Y. Sergiienko; Markus Wagner 007 (GECCO, 2020)

Design optimisation of a multi-mode wave energy converter. - Nataliia Y. Sergiienko; Mehdi Neshat; Leandro S. P. da Silva; Bradley Alexander; Markus Wagner 007 (CoRR, 2020)

An Evolutionary Deep Learning Method for Short-term Wind Speed Prediction: A Case Study of the Lillgrund Offshore Wind Farm. - Mehdi Neshat; Meysam Majidi Nezhad; Ehsan Abbasnejad; Lina Bertling Tjernberg; Davide Astiaso Garcia; Bradley Alexander; Markus Wagner 007 (CoRR, 2020)

Hybrid Neuro-Evolutionary Method for Predicting Wind Turbine Power Output. - Mehdi Neshat; Meysam Majidi Nezhad; Ehsan Abbasnejad; Daniele Groppi; Azim Heydari; Lina Bertling Tjernberg; Davide Astiaso Garcia; Bradley Alexander; Markus Wagner 007 (CoRR, 2020)

A hybrid cooperative co-evolution algorithm framework for optimising power take off and placements of wave energy converters. - Mehdi Neshat; Bradley Alexander; Markus Wagner 007 (Inf. Sci., 2020)

New insights into position optimisation of wave energy converters using hybrid local search. - Mehdi Neshat; Bradley Alexander; Nataliia Y. Sergiienko; Markus Wagner 007 (Swarm Evol. Comput., 2020)

Optimization Study of Hydraulic Power Take-off System for an Ocean Wave Energy Converter. - Erfan Amini; Hossein Mehdipour; Emilio Faraggiana; Danial Golbaz; Sevda Mozaffari; Giovanni Bracco; Mehdi Neshat (CoRR, 2021)

GTOPX space mission benchmarks. - Martin Schlueter; Mehdi Neshat; Mohamed Wahib; Masaharu Munetomo; Markus Wagner 007 (SoftwareX, 2021)

Brain Tumor Detection and Classification Using a New Evolutionary Convolutional Neural Network. - Amin Abdollahi Dehkordi; Mina Hashemi; Mehdi Neshat; Seyedali Mirjalili; Ali Safaa Sadiq (CoRR, 2022)

Marine Online Platforms of Services to Public End-Users - The Innovation of the ODYSSEA Project. - Meysam Majidi Nezhad; Mehdi Neshat; Giuseppe Piras; Davide Astiaso Garcia; Georgios K. Sylaios (Remote. Sens., 2022)

A Novel Hybrid Multi-Modal Deep Learning for Detecting Hashtag Incongruity on Social Media. - Sajad Dadgar; Mehdi Neshat (Sensors, 2022)

Hybrid Inception Architecture with Residual Connection: Fine-tuned Inception-ResNet Deep Learning Model for Lung Inflammation Diagnosis from Chest Radiographs. - Mehdi Neshat; Muktar Ahmed; Hossein Askari; Menasha Thilakaratne; Seyedali Mirjalili (ICMLDE, 2023)

Adaptive Chaotic Marine Predators Hill Climbing Algorithm for Large-Scale Design Optimizations. - Amin Abdollahi Dehkordi; Bahareh Etaati; Mehdi Neshat; Seyedali Mirjalili (IEEE Access, 2023)

A Novel Hybrid Algorithm for Optimized Solutions in Ocean Renewable Energy Industry: Enhancing Power Take-Off Parameters and Site Selection Procedure of Wave Energy Converters. - Hossein Mehdipour; Erfan Amini; Seyed Taghi Naeeni; Mehdi Neshat (CoRR, 2023)

A Hybrid Intelligent Framework for Maximising SAG Mill Throughput: An Integration of Expert Knowledge, Machine Learning and Evolutionary Algorithms for Parameter Optimisation. - Zahra Ghasemi; Mehdi Neshat; Chris Aldrich; John Karageorgos; Max Zanin; Frank Neumann 001; Lei Chen (CoRR, 2023)

An Effective Ensemble Convolutional Learning Model with Fine-Tuning for Medicinal Plant Leaf Identification. - Mohd Asif Hajam; Tasleem Arif; Akib Mohi Ud Din Khanday; Mehdi Neshat (Inf., 2023)

Large-scale Wave Energy Farm. - Mehdi Neshat; Bradley Alexander; Nataliia Y. Sergiienko; Markus Wagner 007 (UCI Machine Learning Repository, 2023)

Enhanced Genetic Programming Models with Multiple Equations for Accurate Semi-Autogenous Grinding Mill Throughput Prediction. - Zahra Ghasemi; Mehdi Neshat; Chris Aldrich; John Karageorgos; Max Zanin; Frank Neumann 001; Lei Chen (CEC, 2024)

Exploring Cellular Automata Learning: An Innovative Approach for Secure and Imperceptible Digital Image Watermarking. - Iram Khurshid Bhat; Fasel Qadir; Mehdi Neshat; Amir H. Gandomi (IEEE Access, 2024)

Predicting the Stay Length of Patients in Hospitals using Convolutional Gated Recurrent Deep Learning Model. - Mehdi Neshat; Michael Phipps; Chris A. Browne; Nicole T. Vargas; Seyedali Mirjalili (CoRR, 2024)

Effective Predictive Modeling for Emergency Department Visits and Evaluating Exogenous Variables Impact: Using Explainable Meta-learning Gradient Boosting. - Mehdi Neshat; Michael Phipps; Nikhil Jha; Danial Khojasteh; Michael Tong; Amir Hossein Gandomi (CoRR, 2024)

A Technical Comparative Heart Disease Prediction Framework Using Boosting Ensemble Techniques. - Najmu Nissa; Sanjay Jamwal; Mehdi Neshat (Comput., 2024)

State-of-the-art AI-based Learning Approaches for Deepfake Generation and Detection, Analyzing Opportunities, Threading through Pros, Cons, and Future Prospects. - Harshika Goyal; Mohammad Saif Wajid; Mohd Anas Wajid; Akib Mohi Ud Din Khanday; Mehdi Neshat; Amir Gandomi (CoRR, 2025)

Optimizing Interplanetary Trajectories using Hybrid Meta-heuristic. - Amin Abdollahi Dehkordi; Mehdi Neshat (CoRR, 2025)

Hybrid Wave-wind System Power Optimisation Using Effective Ensemble Covariance Matrix Adaptation Evolutionary Algorithm. - Mehdi Neshat; Nataliia Y. Sergiienko; Leandro S. P. da Silva; Seyedali Mirjalili; Amir H. Gandomi; Ossama Abdelkhalik; John Boland 001 (CoRR, 2025)

Smart Buildings Energy Consumption Forecasting using Adaptive Evolutionary Ensemble Learning Models. - Mehdi Neshat; Menasha Thilakaratne; Mohammed El-Abd; Seyedali Mirjalili; Amir H. Gandomi; John Boland 001 (CoRR, 2025)

Effective Self-Attention-Based Deep Learning Model with Evolutionary Grid Search for Robust Wave Farm Energy Forecasting. - Amin Abdollahi Dehkordi; Mehdi Neshat; Nataliia Y. Sergiienko; Zahra Ghasemi; Lei Chen; John Boland 001; Hamid Moradkhani; Amir H. Gandomi (CoRR, 2025)