Sciweavers

PPSN
2010
Springer

Privacy-Preserving Multi-Objective Evolutionary Algorithms

13 years 9 months ago
Privacy-Preserving Multi-Objective Evolutionary Algorithms
Existing privacy-preserving evolutionary algorithms are limited to specific problems securing only cost function evaluation. This lack of functionality and security prevents their use for many security sensitive business optimization problems, such as our use case in collaborative supply chain management. We present a technique to construct privacypreserving algorithms that address multi-objective problems and secure the entire algorithm including survivor selection. We improve performance over Yao’s protocol for privacy-preserving algorithms and achieve solution quality only slightly inferior to the multi-objective evolutionary algorithm NSGA-II.
Daniel Funke, Florian Kerschbaum
Added 29 Jan 2011
Updated 29 Jan 2011
Type Journal
Year 2010
Where PPSN
Authors Daniel Funke, Florian Kerschbaum
Comments (0)