Kyungpook National University, South Korea, Master of Science, GPA 3.88 / 4.3
Major: Evolutionary Computation and Intelligent Systems (ECIS) Lab
School of Electronics Engineering
Thesis: “Evolutionary Multi/Many-Objective Approaches for Next Release Optimization Problem”
Description:
- Hierarchical approaches for Many-objective optimization. The proposed approach:
- Utilizes the advantages provided by the AENS approach and shift-based density estimation to improve the performance of PDMOEAs in handling the MaOPs.
- Aims at balancing both the convergence and diversity.
- Employs Pareto-dominance along with approximate non-dominated sorting and Shift-based density estimation in the mating and environmental selections to select and preserve better solutions respectively
- Multi/Many-objective Approaches for Next Release Problem. With proposed approaches:
- five objectives formulation examined in the Many Next Release Problem to propose a general method to explore solutions to the Many NRP, involving: maximum the customer profits, minimum the requirement costs, coverage of requirements for customers, fairness of customers, and fairness of resource allocation.
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