STORRE
STORRE: Stirling Online Research Repository
http://hdl.handle.net/1893/31635| Appears in Collections: | Computing Science and Mathematics Conference Papers and Proceedings |
| Author(s): | Ochoa, Gabriela Chicano, Francisco |
| Contact Email: | gabriela.ochoa@stir.ac.uk |
| Title: | Local Optima Network Analysis for MAX-SAT |
| Editor(s): | López-Ibáñez, Manuel |
| Citation: | Ochoa G & Chicano F (2019) Local Optima Network Analysis for MAX-SAT. In: López-Ibáñez M (ed.) GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO '19 - Genetic and Evolutionary Computation Conference, Prague, Czech Republic, 13.07.2019-17.07.2019. New York: Association for Computing Machinery, pp. 1430-1437. https://doi.org/10.1145/3319619.3326855 |
| Issue Date: | 2019 |
| Date Deposited: | 3-Sep-2020 |
| Conference Name: | GECCO '19 - Genetic and Evolutionary Computation Conference |
| Conference Dates: | 2019-07-13 - 2019-07-17 |
| Conference Location: | Prague, Czech Republic |
| Abstract: | Local Optima Networks (LONs) are a valuable tool to understand fitness landscapes of optimization problems observed from the perspective of a search algorithm. Local optima of the optimization problem are linked by an edge in LONs when an operation in the search algorithm allows one of them to be reached from the other. Previous work analyzed several combinatorial optimization problems using LONs and provided a visual guide to understand why the instances are difficult or easy for the search algorithms. In this work we analyze for the first time the MAX-SAT problem. Given a Boolean formula in Conjunctive Normal Form, the goal of the MAX-SAT problem is to find an assignment maximizing the number of satistified clauses. Several random and industrial instances of MAX-SAT are analyzed using Iterated Local Search to sample the search space. |
| Status: | VoR - Version of Record |
| Rights: | The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study. |
| Licence URL(s): | http://www.rioxx.net/licenses/under-embargo-all-rights-reserved |
| File | Description | Size | Format | |
|---|---|---|---|---|
| 3319619.3326855.pdf | Fulltext - Published Version | 226.21 kB | Adobe PDF | Under Permanent Embargo Request a copy |
Note: If any of the files in this item are currently embargoed, you can request a copy directly from the author by clicking the padlock icon above. However, this facility is dependent on the depositor still being contactable at their original email address.
This item is protected by original copyright |
Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved https://creativecommons.org/publicdomain/zero/1.0/
If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.