International audienceThis paper addresses the parallel machine scheduling problem where jobs have different earliness-tardiness penalties and a common due date. Since the problem is conjectured NP-hard in the strong sense, we propose a large neighborhood search that can be explored by a pseudo polynomial dynamic program algorithm. Computational experiments are presented and compared to a lower bound in order to verify that their gap is reasonable. They are also compared to simple local search based on moves and swaps between jobs
We apply the global optimization technique called taboo search to the job shop scheduling problem an...
Variable neighbourhood search (VNS) is one of the most recent metaheuristics used for solving combin...
This research focuses on a scheduling problem with multiple unavailability periods and distinct due ...
This paper investigates an unrelated parallel machine scheduling problem with a restrictive common d...
International audienceWe present a large neighborhood search method based on limited discrepancy sea...
In this paper we study very large-scale neighborhoods for the minimum total weighted completion time...
In many real scheduling environments, a job processed later needs longer time than the same job when...
AbstractWe discuss the problem of scheduling a set of n independent jobs on m parallel machines to m...
The unrelated parallel machine scheduling problem with sequence dependent setup times (UPMSP-SDST) a...
AbstractThis paper considers an unrelated parallel machine scheduling problem with the objective of ...
International audienceThis paper deals with a common due date parallel machines scheduling problem i...
We investigate the quality of local search heuristics for the scheduling problem of minimizing the m...
textabstractThe parallel machine scheduling problem with unrelated machines is studied where the obj...
We consider the NP-hard problem of scheduling jobs on identical parallel machines to minimize total ...
International audienceWe consider in this work a bicriteria scheduling problem on two different para...
We apply the global optimization technique called taboo search to the job shop scheduling problem an...
Variable neighbourhood search (VNS) is one of the most recent metaheuristics used for solving combin...
This research focuses on a scheduling problem with multiple unavailability periods and distinct due ...
This paper investigates an unrelated parallel machine scheduling problem with a restrictive common d...
International audienceWe present a large neighborhood search method based on limited discrepancy sea...
In this paper we study very large-scale neighborhoods for the minimum total weighted completion time...
In many real scheduling environments, a job processed later needs longer time than the same job when...
AbstractWe discuss the problem of scheduling a set of n independent jobs on m parallel machines to m...
The unrelated parallel machine scheduling problem with sequence dependent setup times (UPMSP-SDST) a...
AbstractThis paper considers an unrelated parallel machine scheduling problem with the objective of ...
International audienceThis paper deals with a common due date parallel machines scheduling problem i...
We investigate the quality of local search heuristics for the scheduling problem of minimizing the m...
textabstractThe parallel machine scheduling problem with unrelated machines is studied where the obj...
We consider the NP-hard problem of scheduling jobs on identical parallel machines to minimize total ...
International audienceWe consider in this work a bicriteria scheduling problem on two different para...
We apply the global optimization technique called taboo search to the job shop scheduling problem an...
Variable neighbourhood search (VNS) is one of the most recent metaheuristics used for solving combin...
This research focuses on a scheduling problem with multiple unavailability periods and distinct due ...