J. Badura, A. Laskowski, M. Antczak, S. Wasik

Hyper-heuristic is a special program that aims to solve optimization problems independently from their search space. Instead, it uses a set of so-called low-level heuristics that are simple algorithms dedicated to solving a specific problem. I would like to use crowdsourcing to collect low-level heuristics. I designed a protocol that enables people to submit their low-level heuristics and implemented it on the Optil.io platform. The system was tested by collecting over a thousand low-level heuristics for a flowshop optimization problem. It is expected that those low-level heuristics form several clusters of similar approaches. I researched several ways of clustering algorithms so that I can choose a set of representative low-level heuristics that hyper-heuristic will use.

Keywords: Hyperheuristic, Crowdsourcing, Combinatorial Optimization

Scheduled

FA2 Heuristics 1
June 11, 2021  9:15 AM
2 - LV Kantorovich


Other papers in the same session


Latest news

  • 6/5/21
    Conference abstract book

Cookie policy

We use cookies in order to be able to identify and authenticate you on the website. They are necessary for the correct functioning of it, and therefore they can not be disabled. If you continue browsing the website, you are agreeing with their acceptance, as well as our Privacy Policy.

Additionally, we use Google Analytics in order to analyze the website traffic. They also use cookies and you can accept or refuse them with the buttons below.

You can read more details about our Cookie Policy and our Privacy Policy.