Olufunke Oladipupo

Experimentation on Iterated Local Search Hyper-heuristics for Combinatorial Optimization Problems

2023 · International Journal of Advanced Computer Science and Applications

Designing effective algorithms to solve cross-domain combinatorial optimization problems is an important goal for which manifold search methods have been extensively investigated. However, finding an optimal combination of perturbation operations for solving cross-domain optimization problems …

EVE: A Task-Adaptive Optimization Algorithm for Balanced Multitask Learning

2026 · IEEE Access

Optimization plays a central role in multitask learning (MTL), yet widely used optimizers such as Adam and AdamW assume uniform parameter updates across tasks, often leading to optimization bias where simpler objectives dominate training. This …