Mohammad Nabi Omidvar

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 34

Top Topics

Continuous Functions

Optimization Problems

Top Venues

IEEE Trans. Evol. Comput.

Publications

Danial Yazdani, Juergen Branke, Mohammad Sadegh Khorshidi, Mohammad Nabi Omidvar, Xiaodong Li, Amir H. Gandomi, Xin Yao
Clustering in Dynamic Environments: A Framework for Benchmark Dataset Generation With Heterogeneous Changes. GECCO (2024)
Danial Yazdani, Jürgen Branke, Mohammad Sadegh Khorshidi, Mohammad Nabi Omidvar, Xiaodong Li, Amir H. Gandomi, Xin Yao
Clustering in Dynamic Environments: A Framework for Benchmark Dataset Generation With Heterogeneous Changes. CoRR (2024)
Danial Yazdani, Mohammad Nabi Omidvar, Delaram Yazdani, Kalyanmoy Deb, Amir H. Gandomi
GNBG: A Generalized and Configurable Benchmark Generator for Continuous Numerical Optimization. CoRR (2023)
Danial Yazdani, Donya Yazdani, Jürgen Branke, Mohammad Nabi Omidvar, Amir Hossein Gandomi, Xin Yao
Robust Optimization Over Time by Estimating Robustness of Promising Regions. IEEE Trans. Evol. Comput. 27 (3) (2023)
Delaram Yazdani, Danial Yazdani, Donya Yazdani, Mohammad Nabi Omidvar, Amir H. Gandomi, Xin Yao
A Species-based Particle Swarm Optimization with Adaptive Population Size and Deactivation of Species for Dynamic Optimization Problems. ACM Trans. Evol. Learn. Optim. 3 (4) (2023)
Mohammad Nabi Omidvar, Yuan Sun, Xiaodong Li
Large-Scale Optimization and Learning. GECCO Companion (2023)
Amir H. Gandomi, Danial Yazdani, Mohammad Nabi Omidvar, Kalyanmoy Deb
GNBG-Generated Test Suite for Box-Constrained Numerical Global Optimization. CoRR (2023)
Amir H. Gandomi, Kalyanmoy Deb, Ronald C. Averill, Shahryar Rahnamayan, Mohammad Nabi Omidvar
Variable Functioning and Its Application to Large Scale Steel Frame Design Optimization. CoRR (2022)
Mohammad Nabi Omidvar, Xiaodong Li, Xin Yao
A Review of Population-Based Metaheuristics for Large-Scale Black-Box Global Optimization - Part I. IEEE Trans. Evol. Comput. 26 (5) (2022)
Danial Yazdani, Mohammad Nabi Omidvar, Ran Cheng, Jürgen Branke, Trung Thanh Nguyen, Xin Yao
Benchmarking Continuous Dynamic Optimization: Survey and Generalized Test Suite. IEEE Trans. Cybern. 52 (5) (2022)
Mohammad Nabi Omidvar, Xiaodong Li, Xin Yao
A Review of Population-Based Metaheuristics for Large-Scale Black-Box Global Optimization - Part II. IEEE Trans. Evol. Comput. 26 (5) (2022)
Danial Yazdani, Jürgen Branke, Mohammad Nabi Omidvar, Changhe Li, Michalis Mavrovouniotis, Trung Thanh Nguyen, Shengxiang Yang, Xin Yao
Generalized Moving Peaks Benchmark. CoRR (2021)
Mohammad Nabi Omidvar, Danial Yazdani, Jürgen Branke, Xiaodong Li, Shengxiang Yang, Xin Yao
Generating Large-scale Dynamic Optimization Problem Instances Using the Generalized Moving Peaks Benchmark. CoRR (2021)
Danial Yazdani, Mohammad Nabi Omidvar, Jürgen Branke, Trung Thanh Nguyen, Xin Yao
Scaling Up Dynamic Optimization Problems: A Divide-and-Conquer Approach. IEEE Trans. Evol. Comput. 24 (1) (2020)
Ran Cheng, Mohammad Nabi Omidvar, Amir H. Gandomi, Bernhard Sendhoff, Stefan Menzel, Xin Yao
Solving Incremental Optimization Problems via Cooperative Coevolution. IEEE Trans. Evol. Comput. 23 (5) (2019)
Borhan Kazimipour, Mohammad Nabi Omidvar, A. Kai Qin, Xiaodong Li, Xin Yao
Bandit-based cooperative coevolution for tackling contribution imbalance in large-scale optimization problems. Appl. Soft Comput. 76 (2019)
Yuan Sun, Xiaodong Li, Andreas T. Ernst, Mohammad Nabi Omidvar
Decomposition for Large-scale Optimization Problems with Overlapping Components. CEC (2019)
Amir H. Gandomi, Kalyanmoy Deb, Ronald C. Averill, Shahryar Rahnamayan, Mohammad Nabi Omidvar
Using semi-independent variables to enhance optimization search. Expert Syst. Appl. 120 (2019)
Danial Yazdani, Jürgen Branke, Mohammad Nabi Omidvar, Trung Thanh Nguyen, Xin Yao
Changing or keeping solutions in dynamic optimization problems with switching costs. GECCO (2018)
Yuan Sun, Mohammad Nabi Omidvar, Michael Kirley, Xiaodong Li
Adaptive threshold parameter estimation with recursive differential grouping for problem decomposition. GECCO (2018)
Sadjad Gharehbaghi, Amir Hossein Gandomi, S. Achakpour, Mohammad Nabi Omidvar
A hybrid computational approach for seismic energy demand prediction. Expert Syst. Appl. 110 (2018)
Mohammad Nabi Omidvar, Samad Nejatian, Hamid Parvin, Vahideh Rezaie
A new natural-inspired continuous optimization approach. J. Intell. Fuzzy Syst. 35 (3) (2018)
Mohammad Nabi Omidvar, Ming Yang, Yi Mei, Xiaodong Li, Xin Yao
DG2: A Faster and More Accurate Differential Grouping for Large-Scale Black-Box Optimization. IEEE Trans. Evol. Comput. 21 (6) (2017)
Ming Yang, Mohammad Nabi Omidvar, Changhe Li, Xiaodong Li, Zhihua Cai, Borhan Kazimipour, Xin Yao
Efficient Resource Allocation in Cooperative Co-Evolution for Large-Scale Global Optimization. IEEE Trans. Evol. Comput. 21 (4) (2017)
Mohammad Nabi Omidvar, Xiaodong Li
Evolutionary large-scale global optimization: an introduction. GECCO (Companion) (2017)
Junfeng Chen, Mohammad Nabi Omidvar, Morteza Azad, Xin Yao
Knowledge-based particle swarm optimization for PID controller tuning. CEC (2017)
Mohammad Nabi Omidvar, Borhan Kazimipour, Xiaodong Li, Xin Yao
CBCC3 - A contribution-based cooperative co-evolutionary algorithm with improved exploration/exploitation balance. CEC (2016)
Yi Mei, Mohammad Nabi Omidvar, Xiaodong Li, Xin Yao
A Competitive Divide-and-Conquer Algorithm for Unconstrained Large-Scale Black-Box Optimization. ACM Trans. Math. Softw. 42 (2) (2016)
Ke Li, Mohammad Nabi Omidvar, Kalyanmoy Deb, Xin Yao
Variable Interaction in Multi-objective Optimization Problems. PPSN (2016)
Kavitesh Bali, Rohitash Chandra, Mohammad Nabi Omidvar
Contribution based multi-island competitive cooperative coevolution. CEC (2016)
Asad Mohammadi, Mohammad Nabi Omidvar, Xiaodong Li, Kalyanmoy Deb
Sensitivity analysis of Penalty-based Boundary Intersection on aggregation-based EMO algorithms. CEC (2015)
Kavitesh K. Bali, Rohitash Chandra, Mohammad Nabi Omidvar
Competitive Island-Based Cooperative Coevolution for Efficient Optimization of Large-Scale Fully-Separable Continuous Functions. ICONIP (3) (2015)
Borhan Kazimipour, Mohammad Nabi Omidvar, Xiaodong Li, A. Kai Qin
A sensitivity analysis of contribution-based cooperative co-evolutionary algorithms. CEC (2015)
Mohammad Nabi Omidvar, Xiaodong Li, Ke Tang
Designing benchmark problems for large-scale continuous optimization. Inf. Sci. 316 (2015)
Mohammad Nabi Omidvar, Yi Mei, Xiaodong Li
Effective decomposition of large-scale separable continuous functions for cooperative co-evolutionary algorithms. IEEE Congress on Evolutionary Computation (2014)
Asad Mohammadi, Mohammad Nabi Omidvar, Xiaodong Li, Kalyanmoy Deb
Integrating user preferences and decomposition methods for many-objective optimization. IEEE Congress on Evolutionary Computation (2014)
Mohammad Nabi Omidvar, Xiaodong Li, Yi Mei, Xin Yao
Cooperative Co-Evolution With Differential Grouping for Large Scale Optimization. IEEE Trans. Evol. Comput. 18 (3) (2014)
Borhan Kazimipour, Mohammad Nabi Omidvar, Xiaodong Li, A. Kai Qin
A novel hybridization of opposition-based learning and cooperative co-evolutionary for large-scale optimization. IEEE Congress on Evolutionary Computation (2014)
Asad Mohammadi, Mohammad Nabi Omidvar, Xiaodong Li
A new performance metric for user-preference based multi-objective evolutionary algorithms. IEEE Congress on Evolutionary Computation (2013)
Asad Mohammadi, Mohammad Nabi Omidvar, Xiaodong Li
Reference point based multi-objective optimization through decomposition. IEEE Congress on Evolutionary Computation (2012)
Mohammad Nabi Omidvar, Xiaodong Li, Xin Yao
Smart use of computational resources based on contribution for cooperative co-evolutionary algorithms. GECCO (2011)
Mohammad Nabi Omidvar, Mashalla Abbasi Dezfouli, Amir Masoud Rahmani
A face recognition method using artificial neural networks. ICDIP (2010)
Mohammad Nabi Omidvar, Xiaodong Li, Zhenyu Yang, Xin Yao
Cooperative Co-evolution for large scale optimization through more frequent random grouping. IEEE Congress on Evolutionary Computation (2010)
Mohammad Nabi Omidvar, Xiaodong Li
A Comparative Study of CMA-ES on Large Scale Global Optimisation. Australasian Conference on Artificial Intelligence (2010)
Mohammad Nabi Omidvar, Xiaodong Li, Xin Yao
Cooperative Co-evolution with delta grouping for large scale non-separable function optimization. IEEE Congress on Evolutionary Computation (2010)