Genetic Algorithms over CrowdProcess
Flowshop scheduling optimization benchmark



What are we doing?

The goal is to find the minimum cost possible for a flowshop scheduling problem. The vertical axis shows the best result found, and the horizontal is the time that has passed.

In red is a serial solution, running on your browser, and in blue is the CrowdProcess solution, running on a few thousand web browsers

CrowdProcess starts later, but quickly starts finding better results.

Why does it matter?

Genetic algorithms are core to many engineering applications, such as telecommunications routing, financial forecasting or fleet logistics.

We hope that the CrowdProcess platform can bring them into more common use.

For more, check out our blog post on running genetic algorithms on CrowdProcess.