Fehmi Burcin Ozsoydan

14 papers Journal 14
YearRankTypeTitle / Venue / Authors
2025 J jnl
A hyper-heuristic enhanced neuro-evolutionary algorithm with self-adaptive operators and various activation functions for classification problems.
Neural Networks
Fehmi Burcin Ozsoydan, Ilker Gölcük, Esra Duygu Durmaz
2025 J jnl
A trajectory-based algorithm enhanced by Q-learning and cloud integration for hybrid flexible flowshop scheduling problem with sequence-dependent setup times: A case study.
Comput. Oper. Res.
Fehmi Burcin Ozsoydan
2025 J jnl
Reinforcement and opposition-based learning enhanced weighted mean of vectors algorithm for global optimization and feature selection.
Knowl. Based Syst.
Ilker Gölcük, Fehmi Burcin Ozsoydan, Esra Duygu Durmaz
2025 J jnl
Reinforcement learning enhanced swarm intelligence and trajectory-based algorithms for parallel machine scheduling problems.
Comput. Ind. Eng.
Fehmi Burcin Ozsoydan
2024 J jnl
Evolution inspired binary flower pollination for the uncapacitated facility location problem.
Neural Comput. Appl.
Fehmi Burcin Ozsoydan, Ali Erel Kasirga
2023 J jnl
A hybridisation of linear programming and genetic algorithm to solve the capacitated facility location problem.
Int. J. Prod. Res.
Fehmi Burcin Ozsoydan, Ilker Gölcük
2023 J jnl
A reinforcement learning based computational intelligence approach for binary optimization problems: The case of the set-union knapsack problem.
Eng. Appl. Artif. Intell.
Fehmi Burcin Ozsoydan, Ilker Gölcük
2023 J jnl
An improved arithmetic optimization algorithm for training feedforward neural networks under dynamic environments.
Knowl. Based Syst.
Ilker Gölcük, Fehmi Burcin Ozsoydan, Esra Duygu Durmaz
2021 J jnl
A species-based flower pollination algorithm with increased selection pressure in abiotic local pollination and enhanced intensification.
Knowl. Based Syst.
Fehmi Burcin Ozsoydan, Adil Baykasoglu
2021 J jnl
Chaos and intensification enhanced flower pollination algorithm to solve mechanical design and unconstrained function optimization problems.
Expert Syst. Appl.
Fehmi Burcin Ozsoydan, Adil Baykasoglu
2021 J jnl
Iterated greedy algorithms enhanced by hyper-heuristic based learning for hybrid flexible flowshop scheduling problem with sequence dependent setup times: A case study at a manufacturing plant.
Comput. Oper. Res.
Fehmi Burcin Ozsoydan, Müjgan Sagir
2021 J jnl
Q-learning and hyper-heuristic based algorithm recommendation for changing environments.
Eng. Appl. Artif. Intell.
Ilker Gölcük, Fehmi Burcin Ozsoydan
2021 J jnl
Quantum particles-enhanced multiple Harris Hawks swarms for dynamic optimization problems.
Expert Syst. Appl.
Ilker Gölcük, Fehmi Burcin Ozsoydan
2018 J jnl
Minimisation of non-machining times in operating automatic tool changers of machine tools under dynamic operating conditions.
Int. J. Prod. Res.
Adil Baykasoglu, Fehmi Burcin Ozsoydan