Abstract
In this paper we study a large set of single-machine scheduling problems with resource-dependent processing times that reduce (consolidate) to the same mathematical model. We take advantage of this property to present a set of universal (unified) heuristic algorithms capable of solving any of the problems that reduces to the unified model. By performing an extensive experimental study, we show that the suggested heuristics can solve large instances of this set of problems with a negligible average percent relative gap between the value of the heuristic solution and the value of a tight lower bound on the optimal solution value.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
