- author = "Michael Orlov and Moshe Sipper",
- title = "Evolutionary Software Improvement for Instruction Set Meta-evolution",
- booktitle = "WSSEC 2008 Workshop and Summer School on Evolutionary Computing",
- year = "2008",
- address = "Londonderry, UK",
- month = aug # " 18-22",
- keywords = "genetic algorithms, genetic programming, genetic improvement, ECJ",
-
URL = "
https://noexec.org/public/papers/wssec.pdf",
-
URL = "https://www.cs.bgu.ac.il/~orlovm/papers/wssec.pdf",
- broken = "https://www.dropbox.com/s/9hhljft3qk2dd9j/wssec.pdf",
- size = "4 pages",
- abstract = "A major drawback of evolutionary computation is that only relatively small-scale solutions can be found during the search process, it is currently impossible to evolve a whole chunk of software. We propose a method named evolutionary software improvement, which makes it possible to take some module, or some aspect of an existing software system, and improve just that part using evolutionary computation. We apply evolutionary software improvement to our genetic-programming system Megavac, refining its instruction set for a class of multi-input handling problems. This allows us to develop problem-fitting instruction sets in a meta-circular fashion, and leads to surprising solutions evolved by Megavac for the given class of problems.",
-
notes = "ECJ-Megavac
From Dropbox Feb 2016 Workshop/Summer School on Evolutionary Computing Lecture Series by Pioneers, August 18-22, 2008, Londonderry Department of Computer Science, Ben-Gurion University PO Box 653, Beer-Sheva 84105, Israel",
