Toward an Efficient Resolution for a Single-machine Bi-objective Scheduling Problem with Rejection
Abstract
We consider a single-machine bi-objective scheduling problem with
rejection. In this problem, it is possible to reject some jobs. Four algorithms are
provided to solve this scheduling problem. The two objectives are the total weighted
completion time and the total rejection cost. The aim is to determine the set of
efficient solutions. Four heuristics are described; they are implicit enumeration algorithms forming a branching tree, each one having two versions according to the
root of the tree corresponding either to acceptance or rejection of all the jobs. The
algorithms are first illustrated by a didactic example. Then they are compared on
a large set of instances of various dimension and their respective performances are
analysed.