An ML-driven EV battery optimization system that predicts energy consumption, enhances range efficiency, and intelligently adapts to driving conditions for sustainable performance.
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Updated
Sep 22, 2025 - Jupyter Notebook
An ML-driven EV battery optimization system that predicts energy consumption, enhances range efficiency, and intelligently adapts to driving conditions for sustainable performance.
This repositories include the IEEE Congress on Evolutionary Computation Benchmark functions suite (IEEE CEC 2014 2017 2020 2022). You can use the untitled.m to form a figure of the benchmark function.
A Python implementation of the Simplex algorithm for solving linear programming problems from scratch
Multi-objective evolutionary algorithms for energy systems optimization.
Capstone project for CH5150 exploring determinisitic and evolutionary algorithms to optimise problems in chemical engineering.
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