Saber Elsayed

Senior Lecturer

UNSW Sydney

Australia

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Articles (10)

Evolutionary approach for dynamic constrained optimization problems

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Year:

2023

Modified Differential Evolution Algorithm for Solving Dynamic Optimization with Existence of Infeasible Environments

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Year:

2023

Generating datasets for the project portfolio selection and scheduling problem

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Year:

2022

A decomposition approach for large-scale non-separable optimization problems

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Year:

2022

PyDDRBG: A Python framework for benchmarking and evaluating static and dynamic multimodal optimization methods

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Year:

2022

Revisiting Implicit and Explicit Averaging for Noisy Optimization

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Year:

2022

Solving a novel multi-divisional project portfolio selection and scheduling problem

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Year:

2022

Weighted pointwise prediction method for dynamic multiobjective optimization

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Year:

2021

An evolutionary approach for resource constrained project scheduling with uncertain changes

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Year:

2021

A Hybrid Multi-Population Approach to the Project Portfolio Selection and Scheduling Problem for Future Force Design

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Year:

2021

Collaborators (3)

Daryl Essam

Senior Lecturer

UNSW

AUSTRALIA

Ruhul Sarker

Professor

University of New South Wales

AUSTRALIA

Ali Ahrari

Lecturer

UNSW Sydney

AUSTRALIA

Saber Elsayed

Research Interests

Explore related searches

Contact this professor

Articles (10)

Evolutionary approach for dynamic constrained optimization problems

Modified Differential Evolution Algorithm for Solving Dynamic Optimization with Existence of Infeasible Environments

Generating datasets for the project portfolio selection and scheduling problem

A decomposition approach for large-scale non-separable optimization problems

PyDDRBG: A Python framework for benchmarking and evaluating static and dynamic multimodal optimization methods

Revisiting Implicit and Explicit Averaging for Noisy Optimization

Solving a novel multi-divisional project portfolio selection and scheduling problem

Weighted pointwise prediction method for dynamic multiobjective optimization

An evolutionary approach for resource constrained project scheduling with uncertain changes

A Hybrid Multi-Population Approach to the Project Portfolio Selection and Scheduling Problem for Future Force Design

Collaborators (3)

Daryl Essam

Ruhul Sarker

Ali Ahrari

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