A Comparative Study of CMA-ES on Large Scale Global Optimisation. - Mohammad Nabi Omidvar; Xiaodong Li 001 (Australasian Conference on Artificial Intelligence, 2010)

Cooperative Co-evolution with delta grouping for large scale non-separable function optimization. - Mohammad Nabi Omidvar; Xiaodong Li 001; Xin Yao 001 (IEEE Congress on Evolutionary Computation, 2010)

Cooperative Co-evolution for large scale optimization through more frequent random grouping. - Mohammad Nabi Omidvar; Xiaodong Li 001; Zhenyu Yang 008; Xin Yao 001 (IEEE Congress on Evolutionary Computation, 2010)

A face recognition method using artificial neural networks. - Mohammad Nabi Omidvar; Mashalla Abbasi Dezfouli; Amir Masoud Rahmani (ICDIP, 2010)

Smart use of computational resources based on contribution for cooperative co-evolutionary algorithms. - Mohammad Nabi Omidvar; Xiaodong Li 001; Xin Yao 001 (GECCO, 2011)

Reference point based multi-objective optimization through decomposition. - Asad Mohammadi; Mohammad Nabi Omidvar; Xiaodong Li 001 (IEEE Congress on Evolutionary Computation, 2012)

A new performance metric for user-preference based multi-objective evolutionary algorithms. - Asad Mohammadi; Mohammad Nabi Omidvar; Xiaodong Li 001 (IEEE Congress on Evolutionary Computation, 2013)

A novel hybridization of opposition-based learning and cooperative co-evolutionary for large-scale optimization. - Borhan Kazimipour; Mohammad Nabi Omidvar; Xiaodong Li 001; A. Kai Qin (IEEE Congress on Evolutionary Computation, 2014)

Integrating user preferences and decomposition methods for many-objective optimization. - Asad Mohammadi; Mohammad Nabi Omidvar; Xiaodong Li 001; Kalyanmoy Deb (IEEE Congress on Evolutionary Computation, 2014)

Effective decomposition of large-scale separable continuous functions for cooperative co-evolutionary algorithms. - Mohammad Nabi Omidvar; Yi Mei 001; Xiaodong Li 001 (IEEE Congress on Evolutionary Computation, 2014)

Cooperative Co-Evolution With Differential Grouping for Large Scale Optimization. - Mohammad Nabi Omidvar; Xiaodong Li 001; Yi Mei 001; Xin Yao 001 (IEEE Trans. Evol. Comput., 2014)

A sensitivity analysis of contribution-based cooperative co-evolutionary algorithms. - Borhan Kazimipour; Mohammad Nabi Omidvar; Xiaodong Li 001; A. Kai Qin (CEC, 2015)

Sensitivity analysis of Penalty-based Boundary Intersection on aggregation-based EMO algorithms. - Asad Mohammadi; Mohammad Nabi Omidvar; Xiaodong Li 001; Kalyanmoy Deb (CEC, 2015)

Competitive Island-Based Cooperative Coevolution for Efficient Optimization of Large-Scale Fully-Separable Continuous Functions. - Kavitesh K. Bali; Rohitash Chandra; Mohammad Nabi Omidvar (ICONIP (3), 2015)

Designing benchmark problems for large-scale continuous optimization. - Mohammad Nabi Omidvar; Xiaodong Li 001; Ke Tang 001 (Inf. Sci., 2015)

Contribution based multi-island competitive cooperative coevolution. - Kavitesh Bali; Rohitash Chandra; Mohammad Nabi Omidvar (CEC, 2016)

CBCC3 - A contribution-based cooperative co-evolutionary algorithm with improved exploration/exploitation balance. - Mohammad Nabi Omidvar; Borhan Kazimipour; Xiaodong Li 001; Xin Yao 001 (CEC, 2016)

Variable Interaction in Multi-objective Optimization Problems. - Ke Li 001; Mohammad Nabi Omidvar; Kalyanmoy Deb; Xin Yao 001 (PPSN, 2016)

A Competitive Divide-and-Conquer Algorithm for Unconstrained Large-Scale Black-Box Optimization. - Yi Mei 001; Mohammad Nabi Omidvar; Xiaodong Li 001; Xin Yao 001 (ACM Trans. Math. Softw., 2016)

Knowledge-based particle swarm optimization for PID controller tuning. - Junfeng Chen; Mohammad Nabi Omidvar; Morteza Azad; Xin Yao 001 (CEC, 2017)

Evolutionary large-scale global optimization: an introduction. - Mohammad Nabi Omidvar; Xiaodong Li 001 (GECCO (Companion), 2017)

DG2: A Faster and More Accurate Differential Grouping for Large-Scale Black-Box Optimization. - Mohammad Nabi Omidvar; Ming Yang 003; Yi Mei 001; Xiaodong Li 001; Xin Yao 001 (IEEE Trans. Evol. Comput., 2017)

Efficient Resource Allocation in Cooperative Co-Evolution for Large-Scale Global Optimization. - Ming Yang 003; Mohammad Nabi Omidvar; Changhe Li; Xiaodong Li 001; Zhihua Cai; Borhan Kazimipour; Xin Yao 001 (IEEE Trans. Evol. Comput., 2017)

Adaptive threshold parameter estimation with recursive differential grouping for problem decomposition. - Yuan Sun 003; Mohammad Nabi Omidvar; Michael Kirley; Xiaodong Li 001 (GECCO, 2018)

Changing or keeping solutions in dynamic optimization problems with switching costs. - Danial Yazdani; Jürgen Branke; Mohammad Nabi Omidvar; Trung Thanh Nguyen 002; Xin Yao 001 (GECCO, 2018)

A hybrid computational approach for seismic energy demand prediction. - Sadjad Gharehbaghi; Amir Hossein Gandomi; S. Achakpour; Mohammad Nabi Omidvar (Expert Syst. Appl., 2018)

A new natural-inspired continuous optimization approach. - Mohammad Nabi Omidvar; Samad Nejatian; Hamid Parvin; Vahideh Rezaie (J. Intell. Fuzzy Syst., 2018)

Decomposition for Large-scale Optimization Problems with Overlapping Components. - Yuan Sun 003; Xiaodong Li 001; Andreas T. Ernst; Mohammad Nabi Omidvar (CEC, 2019)

Bandit-based cooperative coevolution for tackling contribution imbalance in large-scale optimization problems. - Borhan Kazimipour; Mohammad Nabi Omidvar; A. Kai Qin; Xiaodong Li 001; Xin Yao 001 (Appl. Soft Comput., 2019)

Using semi-independent variables to enhance optimization search. - Amir H. Gandomi; Kalyanmoy Deb; Ronald C. Averill; Shahryar Rahnamayan; Mohammad Nabi Omidvar (Expert Syst. Appl., 2019)

Solving Incremental Optimization Problems via Cooperative Coevolution. - Ran Cheng; Mohammad Nabi Omidvar; Amir H. Gandomi; Bernhard Sendhoff; Stefan Menzel; Xin Yao 001 (IEEE Trans. Evol. Comput., 2019)

Scaling Up Dynamic Optimization Problems: A Divide-and-Conquer Approach. - Danial Yazdani; Mohammad Nabi Omidvar; Jürgen Branke; Trung Thanh Nguyen 002; Xin Yao 001 (IEEE Trans. Evol. Comput., 2020)

Generalized Moving Peaks Benchmark. - Danial Yazdani; Jürgen Branke; Mohammad Nabi Omidvar; Changhe Li; Michalis Mavrovouniotis; Trung Thanh Nguyen 002; Shengxiang Yang; Xin Yao 001 (CoRR, 2021)

Generating Large-scale Dynamic Optimization Problem Instances Using the Generalized Moving Peaks Benchmark. - Mohammad Nabi Omidvar; Danial Yazdani; Jürgen Branke; Xiaodong Li 001; Shengxiang Yang; Xin Yao 001 (CoRR, 2021)

Variable Functioning and Its Application to Large Scale Steel Frame Design Optimization. - Amir H. Gandomi; Kalyanmoy Deb; Ronald C. Averill; Shahryar Rahnamayan; Mohammad Nabi Omidvar (CoRR, 2022)

Benchmarking Continuous Dynamic Optimization: Survey and Generalized Test Suite. - Danial Yazdani; Mohammad Nabi Omidvar; Ran Cheng; Jürgen Branke; Trung Thanh Nguyen 002; Xin Yao 001 (IEEE Trans. Cybern., 2022)

A Review of Population-Based Metaheuristics for Large-Scale Black-Box Global Optimization - Part I. - Mohammad Nabi Omidvar; Xiaodong Li 001; Xin Yao 001 (IEEE Trans. Evol. Comput., 2022)

A Review of Population-Based Metaheuristics for Large-Scale Black-Box Global Optimization - Part II. - Mohammad Nabi Omidvar; Xiaodong Li 001; Xin Yao 001 (IEEE Trans. Evol. Comput., 2022)

Large-Scale Optimization and Learning. - Mohammad Nabi Omidvar; Yuan Sun 003; Xiaodong Li 001 (GECCO Companion, 2023)

GNBG-Generated Test Suite for Box-Constrained Numerical Global Optimization. - Amir H. Gandomi; Danial Yazdani; Mohammad Nabi Omidvar; Kalyanmoy Deb (CoRR, 2023)

GNBG: A Generalized and Configurable Benchmark Generator for Continuous Numerical Optimization. - Danial Yazdani; Mohammad Nabi Omidvar; Delaram Yazdani; Kalyanmoy Deb; Amir H. Gandomi (CoRR, 2023)

Robust Optimization Over Time by Estimating Robustness of Promising Regions. - Danial Yazdani; Donya Yazdani; Jürgen Branke; Mohammad Nabi Omidvar; Amir Hossein Gandomi; Xin Yao 001 (IEEE Trans. Evol. Comput., 2023)

A Species-based Particle Swarm Optimization with Adaptive Population Size and Deactivation of Species for Dynamic Optimization Problems. - Delaram Yazdani; Danial Yazdani; Donya Yazdani; Mohammad Nabi Omidvar; Amir H. Gandomi; Xin Yao 001 (ACM Trans. Evol. Learn. Optim., 2023)

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 001; Amir H. Gandomi; Xin Yao 001 (GECCO, 2024)

Robust Optimization Over Time: A Critical Review. - Danial Yazdani; Mohammad Nabi Omidvar; Donya Yazdani; Jürgen Branke; Trung Thanh Nguyen 002; Amir H. Gandomi; Yaochu Jin; Xin Yao 001 (IEEE Trans. Evol. Comput., 2024)