Noha M. Hamza

Orcid: 0000-0001-7948-7437

According to our database1, Noha M. Hamza authored at least 16 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2012
2014
2016
2018
2020
2022
2024
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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
An Evolutionary Framework for Large-Scale Constrained Optimization.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

Constraint Consensus for Solving Large-scale Constrained Optimization Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2022
Evolutionary Constrained Optimization with Dynamic Changes and Uncertainty in the Objective Function.
Proceedings of the 14th International Conference on Software, 2022

Solving constrained problems with dynamic objective functions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2020
Sensitivity-Based Change Detection for Dynamic Constrained Optimization.
IEEE Access, 2020

Evolutionary Search from the Interior of Feasible Space.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Enhancing Evolutionary Algorithms by Efficient Population Initialization for Constrained Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2016
Search Techniques for Evolutionary Constrained Optimization.
PhD thesis, 2016

Constraint Consensus Mutation-Based Differential Evolution for Constrained Optimization.
IEEE Trans. Evol. Comput., 2016

Testing united multi-operator evolutionary algorithms-II on single objective optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Exploring the Feasible Space Using Constraint Consensus in Solving Constrained Optimization Problems.
Proceedings of the Artificial Life and Computational Intelligence, 2016

2014
Differential evolution with a constraint consensus mutation for solving optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Testing united multi-operator evolutionary algorithms on the CEC2014 real-parameter numerical optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Differential evolution with multi-constraint consensus methods for constrained optimization.
J. Glob. Optim., 2013

2012
Differential evolution with a mix of Constraint Consenus methods for solving a real-world Optimization Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
Differential evolution combined with constraint consensus for constrained optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011


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