AutoOED: Automated Optimal Experimental Design Platform
Genetic Algorithm (GA) for a Multi-objective Optimization Problem (MOP)
🎓An AI tool to assist universities with optimal allocation of students to supervisors for their dissertations. Devised a multi-objective genetic algorithm for the task.
Code for "A Framework for Controllable Pareto Front Learning with Completed Scalarization Functions and its Applications"
Оптимизация долгосрочного портфеля акций
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DVFS framework addressing the problem of performance-energy trade-off, 2023.
Implementation of verification algorithms for the Pareto-Rational Verification problem (PRV problem).
Simple multi-objective optimisation routine based on Celery
(BSc Hons) Combining Machine Learning Techniques with Multi-Objective evolutionary Algorithms to Solve Real World Engineering Problems
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