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ORCIDMohammad Nabi Omidvar
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2020 – today
- 2024
[j17]Danial Yazdani
, Mohammad Nabi Omidvar, Donya Yazdani, Jürgen Branke, Trung Thanh Nguyen, Amir H. Gandomi, Yaochu Jin, Xin Yao:
Robust Optimization Over Time: A Critical Review. IEEE Trans. Evol. Comput. 28(5): 1265-1285 (2024)- [c23]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 - [i6]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 abs/2402.15731 (2024) - 2023
- [j16]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): 657-670 (2023) - [j15]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): 14:1-14:25 (2023) - [c22]Mohammad Nabi Omidvar, Yuan Sun, Xiaodong Li:
Large-Scale Optimization and Learning. GECCO Companion 2023: 1477-1502 - [i5]Amir H. Gandomi, Danial Yazdani, Mohammad Nabi Omidvar, Kalyanmoy Deb:
GNBG-Generated Test Suite for Box-Constrained Numerical Global Optimization. CoRR abs/2312.07034 (2023) - [i4]Danial Yazdani, Mohammad Nabi Omidvar, Delaram Yazdani, Kalyanmoy Deb, Amir H. Gandomi:
GNBG: A Generalized and Configurable Benchmark Generator for Continuous Numerical Optimization. CoRR abs/2312.07083 (2023) - 2022
- [j14]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): 3380-3393 (2022) - [j13]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): 802-822 (2022) - [j12]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): 823-843 (2022) - [i3]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 abs/2205.07274 (2022) - 2021
- [i2]Danial Yazdani, Jürgen Branke, Mohammad Nabi Omidvar, Changhe Li, Michalis Mavrovouniotis, Trung Thanh Nguyen, Shengxiang Yang, Xin Yao:
Generalized Moving Peaks Benchmark. CoRR abs/2106.06174 (2021) - [i1]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 abs/2107.11019 (2021) - 2020
- [j11]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): 1-15 (2020)
2010 – 2019
- 2019
- [j10]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: 265-281 (2019) - [j9]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: 279-297 (2019) - [j8]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): 762-775 (2019) - [c21]Yuan Sun, Xiaodong Li, Andreas T. Ernst, Mohammad Nabi Omidvar:
Decomposition for Large-scale Optimization Problems with Overlapping Components. CEC 2019: 326-333 - 2018
- [j7]Sadjad Gharehbaghi, Amir Hossein Gandomi, S. Achakpour, Mohammad Nabi Omidvar:
A hybrid computational approach for seismic energy demand prediction. Expert Syst. Appl. 110: 335-351 (2018) - [j6]Mohammad Nabi Omidvar, Samad Nejatian, Hamid Parvin, Vahideh Rezaie:
A new natural-inspired continuous optimization approach. J. Intell. Fuzzy Syst. 35(3): 3267-3283 (2018) - [c20]Yuan Sun, Mohammad Nabi Omidvar, Michael Kirley, Xiaodong Li:
Adaptive threshold parameter estimation with recursive differential grouping for problem decomposition. GECCO 2018: 889-896 - [c19]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: 1095-1102 - 2017
- [j5]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): 493-505 (2017) - [j4]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): 929-942 (2017) - [c18]Junfeng Chen, Mohammad Nabi Omidvar, Morteza Azad, Xin Yao:
Knowledge-based particle swarm optimization for PID controller tuning. CEC 2017: 1819-1826 - [c17]Mohammad Nabi Omidvar, Xiaodong Li:
Evolutionary large-scale global optimization: an introduction. GECCO (Companion) 2017: 807-827 - 2016
- [j3]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): 13:1-13:24 (2016) - [c16]Kavitesh Bali, Rohitash Chandra, Mohammad Nabi Omidvar:
Contribution based multi-island competitive cooperative coevolution. CEC 2016: 1823-1830 - [c15]Mohammad Nabi Omidvar, Borhan Kazimipour, Xiaodong Li, Xin Yao:
CBCC3 - A contribution-based cooperative co-evolutionary algorithm with improved exploration/exploitation balance. CEC 2016: 3541-3548 - [c14]Ke Li, Mohammad Nabi Omidvar, Kalyanmoy Deb, Xin Yao:
Variable Interaction in Multi-objective Optimization Problems. PPSN 2016: 399-409 - 2015
- [j2]Mohammad Nabi Omidvar, Xiaodong Li, Ke Tang:
Designing benchmark problems for large-scale continuous optimization. Inf. Sci. 316: 419-436 (2015) - [c13]Borhan Kazimipour, Mohammad Nabi Omidvar, Xiaodong Li, A. Kai Qin:
A sensitivity analysis of contribution-based cooperative co-evolutionary algorithms. CEC 2015: 417-424 - [c12]Asad Mohammadi, Mohammad Nabi Omidvar, Xiaodong Li, Kalyanmoy Deb:
Sensitivity analysis of Penalty-based Boundary Intersection on aggregation-based EMO algorithms. CEC 2015: 2891-2898 - [c11]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: 137-147 - 2014
- [j1]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): 378-393 (2014) - [c10]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: 421-428 - [c9]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: 1305-1312 - [c8]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: 2833-2840 - 2013
- [c7]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: 2825-2832 - 2012
- [c6]Asad Mohammadi, Mohammad Nabi Omidvar, Xiaodong Li:
Reference point based multi-objective optimization through decomposition. IEEE Congress on Evolutionary Computation 2012: 1-8 - 2011
- [c5]Mohammad Nabi Omidvar, Xiaodong Li, Xin Yao:
Smart use of computational resources based on contribution for cooperative co-evolutionary algorithms. GECCO 2011: 1115-1122 - 2010
- [c4]Mohammad Nabi Omidvar, Xiaodong Li:
A Comparative Study of CMA-ES on Large Scale Global Optimisation. Australasian Conference on Artificial Intelligence 2010: 303-312 - [c3]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: 1-8 - [c2]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: 1-8 - [c1]Mohammad Nabi Omidvar, Mashalla Abbasi Dezfouli, Amir Masoud Rahmani:
A face recognition method using artificial neural networks. ICDIP 2010: 75460X
Coauthor Index
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