TUB Optimization Algorithm

• Uses a genetic algorithm to find a (near) optimal production schedule for the given request
• Takes into account, among others, different task modes, variable energy prices and availability, and intermediate resources, including e.g. the SoC of buffer batteries
• Multi-objective optimization, can be used to optimize for energy costs, total energy usage, makespan, or a combination of those factors
• Optionally, a graphical UI can be used for configuring the optimization, loading requests, and viewing the results and intermediate steps

Input(s):

Optimization Request

Main feature(s):

The (unnamed) Optimization Algorithm implemented for SPEAR by TU Berlin

Output(s):

Optimization Result /Schedule

• Maven (for building)
• Java 11
• Can be used “headless” or with graphical UI

• Researchers who want to extend the algorithms
• Industrial users who want to adapt it to their own requirements not covered by the common API

Source code available upon request (negotiable, possibly to be opensourced later).