A bi-objective model for the single-machine scheduling problem with rejection cost and total tardiness minimization
DOI10.1016/j.cor.2018.10.006zbMath1458.90281OpenAlexW2898049951WikidataQ129099169 ScholiaQ129099169MaRDI QIDQ1628126
Roberto Cordone, Pierre Hosteins
Publication date: 3 December 2018
Published in: Computers \& Operations Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cor.2018.10.006
dynamic programmingbranch-and-boundtotal tardinessscheduling with rejectionbi-objective optimization
Polyhedral combinatorics, branch-and-bound, branch-and-cut (90C57) Multi-objective and goal programming (90C29) Deterministic scheduling theory in operations research (90B35)
Related Items (14)
Uses Software
Cites Work
- Unnamed Item
- A survey on offline scheduling with rejection
- A bicriteria approach to scheduling a single machine with job rejection and positional penalties
- Exact algorithms for a generalization of the order acceptance and scheduling problem in a single-machine environment
- Bound sets for biobjective combinatorial optimization problems
- Multiobjective optimization. Interactive and evolutionary approaches
- Single-machine scheduling under the job rejection constraint
- Multi-objective branch and bound
- Two-machine flow-shop scheduling with rejection
- Finding the Pareto-optima for the total and maximum tardiness single machine problem
- Enumeration of Pareto Optima for a Flowshop Scheduling Problem with Two Criteria
- Revised Delivery-Time Quotation in Scheduling with Tardiness Penalties
- Minimizing Total Tardiness on One Machine is NP-Hard
- Optimization and Approximation in Deterministic Sequencing and Scheduling: a Survey
- A Branch-and-Bound Algorithm for the Prize-Collecting Single-Machine Scheduling Problem with Deadlines and Total Tardiness Minimization
- One-Machine Sequencing to Minimize Certain Functions of Job Tardiness
This page was built for publication: A bi-objective model for the single-machine scheduling problem with rejection cost and total tardiness minimization