Improved biogeography-based optimization using migration process adjustment: An approach for location-allocation of ambulances. - Mehrdad Kaveh; Mohammad Saadi Mesgari (Comput. Ind. Eng., 2019)

Binary Chimp Optimization Algorithm (BChOA): a New Binary Meta-heuristic for Solving Optimization Problems. - Jianhao Wang; Mohammad Khishe; Mehrdad Kaveh; Hassan Mohammadi (Cogn. Comput., 2021)

A Novel Deep Supervised Learning-Based Approach for Intrusion Detection in IoT Systems. - Sahba Baniasadi; Omid Rostami; Diego Martín 001; Mehrdad Kaveh (Sensors, 2022)

Application of Meta-Heuristic Algorithms for Training Neural Networks and Deep Learning Architectures: A Comprehensive Review. - Mehrdad Kaveh; Mohammad Saadi Mesgari (Neural Process. Lett., 2023)

Orchard Algorithm (OA): A new meta-heuristic algorithm for solving discrete and continuous optimization problems. - Mehrdad Kaveh; Mohammad Saadi Mesgari; Bahram Saeidian (Math. Comput. Simul., 2023)

TDMBBO: a novel three-dimensional migration model of biogeography-based optimization (case study: facility planning and benchmark problems). - Mehrdad Kaveh; Mohammad Saadi Mesgari; Diego Martín 001; Masoud Kaveh (J. Supercomput., 2023)

Optimal Band Selection Using Evolutionary Machine Learning to Improve the Accuracy of Hyper-spectral Images Classification: a Novel Migration-Based Particle Swarm Optimization. - Milad Vahidi; Sina Aghakhani; Diego Martín 001; Hossein Aminzadeh; Mehrdad Kaveh (J. Classif., 2023)

A Novel Evolutionary Deep Learning Approach for PM2.5 Prediction Using Remote Sensing and Spatial-Temporal Data: A Case Study of Tehran. - Mehrdad Kaveh; Mohammad Saadi Mesgari; Masoud Kaveh (ISPRS Int. J. Geo Inf., 2025)