A university project in which the following problems are solved in Java language and also have a graphical appearance using JavaFX
The goal of the JobSequencing problem is as follows. Given workers and jobs, where each job has a designated length, assign each of the jobs to one of the workers such that largest total length assigned to a worker is minimized
Job-Scheduling solves the Job Sequencing with Deadlines problem with the core optimization engines are implemented in C++ for maximum execution speed, exposed to Python via pybind11, and integrated into a FastAPI backend with a React web frontend.
Here I have added some algorithms solved in Python using both iterative and dynamic method to show how they have been optimized [starting] from an iterative approach [finally] to the bottom-up approach
optimal arrangement of jobs that certain deadlines must be completed to maximize profit or minimize loss
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