Fehmi Burçin Özsoydan

Akademik Profiller

1. 1
   Evolution inspired binary flower pollination for the uncapacitated facility location problemNeural Computing and Applications
   2024
2. 2
   A machine learning-based two-stage approach for the location of undesirable facilities in the biomass-to-bioenergy supply chainApplied Energy
   2024
3. 3
   A mobile application-based decision support system for routing and decision making problemsJournal of Advanced Research in Natural and Applied Sciences
   2023
4. 4
   A hybridisation of linear programming and genetic algorithm to solve the capacitated facility location problemInternational Journal of Production Research
   2023
5. 5
   An improved arithmetic optimization algorithm for training feedforward neural networks under dynamic environmentsKnowledge-Based Systems
   2023
6. 6
   A reinforcement learning based computational intelligence approach for binary optimization problems: The case of the set-union knapsack problemEngineering Applications of Artificial Intelligence
   2023
7. 7
   A hyper-heuristic based reinforcement-learning algorithm to train feedforward neural networksEngineering Science and Technology, an International Journal
   2022
8. 8
   A species-based flower pollination algorithm with increased selection pressure in abiotic local pollination and enhanced intensificationKnowledge-Based Systems
   2021
9. 9
   Quantum particles-enhanced multiple Harris Hawks swarms for dynamic optimization problemsExpert Systems with Applications
   2021
10. 10
    Chaos and intensification enhanced flower pollination algorithm to solve mechanical design and unconstrained function optimization problemsExpert Systems with Applications
    2021

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