Mohammad Nabi Omidvar

According to our database1, Mohammad Nabi Omidvar authored at least 31 papers between 2010 and 2019.

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Bibliography

2019
Solving Incremental Optimization Problems via Cooperative Coevolution.
IEEE Trans. Evolutionary Computation, 2019

Using semi-independent variables to enhance optimization search.
Expert Syst. Appl., 2019

Bandit-based cooperative coevolution for tackling contribution imbalance in large-scale optimization problems.
Appl. Soft Comput., 2019

Decomposition for Large-scale Optimization Problems with Overlapping Components.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
A new natural-inspired continuous optimization approach.
Journal of Intelligent and Fuzzy Systems, 2018

A hybrid computational approach for seismic energy demand prediction.
Expert Syst. Appl., 2018

Changing or keeping solutions in dynamic optimization problems with switching costs.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Adaptive threshold parameter estimation with recursive differential grouping for problem decomposition.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017
Efficient Resource Allocation in Cooperative Co-Evolution for Large-Scale Global Optimization.
IEEE Trans. Evolutionary Computation, 2017

DG2: A Faster and More Accurate Differential Grouping for Large-Scale Black-Box Optimization.
IEEE Trans. Evolutionary Computation, 2017

Evolutionary large-scale global optimization: an introduction.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Knowledge-based particle swarm optimization for PID controller tuning.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
A Competitive Divide-and-Conquer Algorithm for Unconstrained Large-Scale Black-Box Optimization.
ACM Trans. Math. Softw., 2016

Variable Interaction in Multi-objective Optimization Problems.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

CBCC3 - A contribution-based cooperative co-evolutionary algorithm with improved exploration/exploitation balance.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Contribution based multi-island competitive cooperative coevolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Designing benchmark problems for large-scale continuous optimization.
Inf. Sci., 2015

Competitive Island-Based Cooperative Coevolution for Efficient Optimization of Large-Scale Fully-Separable Continuous Functions.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Sensitivity analysis of Penalty-based Boundary Intersection on aggregation-based EMO algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

A sensitivity analysis of contribution-based cooperative co-evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Cooperative Co-Evolution With Differential Grouping for Large Scale Optimization.
IEEE Trans. Evolutionary Computation, 2014

Effective decomposition of large-scale separable continuous functions for cooperative co-evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Integrating user preferences and decomposition methods for many-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

A novel hybridization of opposition-based learning and cooperative co-evolutionary for large-scale optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
A new performance metric for user-preference based multi-objective evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
Reference point based multi-objective optimization through decomposition.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
Smart use of computational resources based on contribution for cooperative co-evolutionary algorithms.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010
A face recognition method using artificial neural networks.
Proceedings of the Second International Conference on Digital Image Processing, 2010

Cooperative Co-evolution for large scale optimization through more frequent random grouping.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Cooperative Co-evolution with delta grouping for large scale non-separable function optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

A Comparative Study of CMA-ES on Large Scale Global Optimisation.
Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010


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