| 2026 | CCGRID | A Federated Edge-AI Smart City Framework for Early Parkinson's Disease Detection Using Handwriting and Multimodal Digital Biomarkers. | Mahtab Shahin, Riina Palu, Ralf-Martin Soe, Mohammad H. Nadimi-Shahraki, Amir H. Gandomi |
| 2026 | GECCO | A GNBG-Inspired Multi-Component Benchmark Suite with Controlled Difficulty Axes for the IOH BenchDesign Challenge. | Rohit Salgotra, Kalyanmoy Deb, Amir H. Gandomi |
| 2026 | GECCO | GNBG-III: A Property-Aware Benchmark Suite for Diagnosing Continuous Black-Box Optimizers. | Rohit Salgotra, Kalyanmoy Deb, Amir H. Gandomi |
| 2026 | ICCS | Graph Neural Networks for Misinformation Detection: Performance-Efficiency Trade-Offs. | Soveatin Kuntur, Maciej Krzywda, Anna Wrblewska, Marcin Paprzycki, Maria Ganzha, Szymon Lukasik, Amir H. Gandomi |
| 2026 | KSEM | S | Xian-Xian Liu, Weiling He, Amir H. Gandomi, Wei Luo, Juntao Gao, Mingkun Xu, Simon Fong, Jiang Cai |
| 2026 | PAKDD | Surgical Tool Maneuvering via a Vision-Guided Improved Levenberg-Marquardt IK Model in Visually Unstructured Environments. | Ramkumar Muthukrishnan, Somasundar Kannan, Mahammad Shareef Mekala, Yafan Zhao, Amir H. Gandomi, Radhakrishna Prabhu |
| 2025 | FedCSIS | Applying Evolutionary Techniques to Enhance Graph Convolutional Networks for Node Classification: Case Studies. | Maciej Krzywda, Szymon Lukasik, Amir H. Gandomi |
| 2025 | GECCO | Linear Genetic Programming for Design Graph Neural Networks for Node Classification. | Maciej Krzywda, Szymon Lukasik, Amir H. Gandomi |
| 2025 | GECCO | Unveiling the Search Space of Simple Contrastive Graph Clustering with Cartesian Genetic Programming. | Maciej Krzywda, Yue Liu, Szymon Lukasik, Amir H. Gandomi |
| 2025 | GECCO | Numerical Global Optimization Competition on GNBG-II generated Test Suite. | Rohit Salgotra, Amir H. Gandomi, Kalyanmoy Deb |
| 2024 | ESANN | Large Language Models as Tuning Agents of Metaheuristics. | Alicja Martinek, Szymon Lukasik, Amir H. Gandomi |
| 2024 | GECCO | Shadow Gene Guidance: A Novel Approach for Elevating Genetic Programming Classifications and Boosting Predictive Confidence. | Hassan Gharoun, Mohammad Sadegh Khorshidi, Navid Yazdanjue, Fang Chen, Amir H. Gandomi |
| 2024 | GECCO | Enhancing Classification Through Multi-view Synthesis in Multi-Population Ensemble Genetic Programming. | Mohammad Sadegh Khorshidi, Navid Yazdanjue, Hassan Gharoun, Danial Yazdani, Mohammad Reza Nikoo, Fang Chen, Amir H. Gandomi |
| 2024 | GECCO | Clustering in Dynamic Environments: A Framework for Benchmark Dataset Generation With Heterogeneous Changes. | Danial Yazdani, Juergen Branke, Mohammad Sadegh Khorshidi, Mohammad Nabi Omidvar, Xiaodong Li, Amir H. Gandomi, Xin Yao |
| 2024 | ICONIP | Identification of Proton Exchange Membrane Fuel Cell Parameters Using a Parameterless Swarm Intelligent Algorithm. | Pankaj Sharma, Rohit Salgotra, Sarvanakumar Raju, Szymon Lukasik, Amir H. Gandomi |
| 2024 | SACI | A New Mutation Operator for Tabu Search Algorithm for Continuous Optimization. | Masoumeh Vali, Levente Kovcs, Amir H. Gandomi |
| 2023 | CEC | A Filter-Based Feature Selection and Ranking Approach to Enhance Genetic Programming for High-Dimensional Data Analysis. | Mohammad Sadegh Khorshidi, Danial Yazdani, Jacek Mandziuk, Mohammad Reza Nikoo, Amir H. Gandomi |
| 2022 | CEC | A Clustering-based Differential Evolution Boosted by a Regularisation-based Objective Function and a Local Refinement for Neural Network Training. | Seyed Jalaleddin Mousavirad, Amir H. Gandomi, Hassan Homayoun |
| 2022 | GECCO | GECCO 2022#: embedding knowledge into optimization process. | Amir H. Gandomi |
| 2022 | IJCNN | Graph Neural Networks in Computer Vision - Architectures, Datasets and Common Approaches. | Maciej Krzywda, Szymon Lukasik, Amir H. Gandomi |
| 2022 | PAKDD | A Two-Stage Self-adaptive Model for Passenger Flow Prediction on Schedule-Based Railway System. | Boyu Li, Ting Guo, Ruimin Li, Yang Wang, Amir H. Gandomi, Fang Chen |
| 2021 | CEC | Advancing Genetic Programming via Information Theory. | Aleksandr V. Grin, Amir H. Gandomi |
| 2021 | CEC | An Evolutionary Framework for Real-Time Fraudulent Credit Detection. | Behshad Mohebali, Gelareh Karbaschi, Amirhessam Tahmassebi, Anke Meyer-Baese, Amir H. Gandomi |
| 2021 | GECCO | Structural damage identification under non-linear EOV effects using genetic programming. | Mohsen Mousavi, Amir H. Gandomi, Magd Abdel Wahab |
| 2021 | ICCS | Text-Based Product Matching with Incomplete and Inconsistent Items Descriptions. | Szymon Lukasik, Andrzej Michalowski, Piotr A. Kowalski, Amir H. Gandomi |
| 2021 | PAKDD | Adaptive Graph Co-Attention Networks for Traffic Forecasting. | Boyu Li, Ting Guo, Yang Wang, Amir H. Gandomi, Fang Chen |
| 2020 | CEC | Swarm Intelligence Based Feature Selection for Intrusion and Detection System in Cloud Infrastructure. | Vaishali Ravindranath, Sasikala Ramasamy, Ramasubbareddy Somula, Kshira Sagar Sahoo, Amir H. Gandomi |
| 2020 | CEC | Improving Cuckoo Search: Incorporating Changes for CEC 2017 and CEC 2020 Benchmark Problems. | Rohit Salgotra, Urvinder Singh, Sriparna Saha, Amir H. Gandomi |
| 2018 | CEC | An Evolutionary Online Framework for MOOC Performance Using EEG Data. | Amirhessam Tahmassebi, Amir H. Gandomi, Anke Meyer-Baese |
| 2018 | CEC | A Pareto Front Based Evolutionary Model for Airfoil Self-Noise Prediction. | Amirhessam Tahmassebi, Amir H. Gandomi, Anke Meyer-Baese |
| 2017 | CEC | An evolutionary approach for fMRI big data classification. | Amirhessam Tahmassebi, Amir H. Gandomi, Ian McCann, Mieke H. J. Schulte, Lianne Schmaal, Anna E. Goudriaan, Anke Meyer-Baese |