Extending scheduling algorithms to minimise the impact of bounded uncertainty using interval programming
thesisposted on 2014-05-01, 00:00 authored by A Hossny
This research proposed a new methodology to extend algorithms to accept interval-based uncertain parameters. The methodology is applied on scheduling algorithms, including heuristic and meta-heuristic algorithms and produced optimal results with higher accuracy. The research outcomes are effective for decision making process using uncertain or predicted data.