Research output per year
Research output per year
Personal profile
Research Interests
Evolutionary Computations
Deep Neural Networks
Reinforcement Learning
Deep Reinforcement Learning
Biography
Farajollah finished his BSc and MSc in Electronic Engineering and Mechatronics Engineering, respectively. Currently, he is working as a Ph.D. researcher under the supervision of Prof. Damien Coyle and Dr. Debbie Rankin in the Intelligent Systems Research Centre at Ulster University, NI, UK. He is working on Neuro-evolution algorithms that are enhanced with Reinforcement Learning methods.
Education/Academic qualification
Master, University of Tabriz
Bachelor, Yazd University
Keywords
- QA75 Electronic computers. Computer science
Fingerprint
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Research output
- 2 Conference contribution
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A Hybrid Multi-Objective Teaching Learning-Based Optimization Using Reference Points and R2 Indicator
Tahernezhadjavazm, F., Rankin, D. & Coyle, D., 24 Jun 2022, ISMSI 2022 - 2022 6th International Conference on Intelligent Systems, Metaheuristics and Swarm Intelligence. Association for Computing Machinery, p. 19-23 5 p. (ACM International Conference Proceeding Series).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open AccessFile26 Downloads (Pure) -
R2-HMEWO: Hybrid multi-objective evolutionary algorithm based on the Equilibrium Optimizer and Whale Optimization Algorithm
Tahernezhad-Javazm, F., Rankin, D. & Coyle, D., 2 Sep 2022, 2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings. IEEE, p. 8 (2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile5 Downloads (Pure)