General Optimization Methods Mathematical Programming, Constraint Programming, Heuristics Problem Specific Algorithms (Dynamic Programming, Branch and Bound) Scheduling Single and Parallel Machine Models Flow Shops and Flexible Flow Shops Job Shops Resource-Constrained Project Scheduling Timetabling Interval Scheduling, Reservations Educational Timetabling Workforce and Employee Timetabling Tra...

This paper addresses the problem of designing a parallel reduction architecture for applicative languages. An interconnection network that allows for scheduling of binary trees of arbitrary depth is presented. It is shown that using a static scheduling strategy the architecture achieves optimal performance while scheduling complete binary trees. Some issues related to the design of a machine ba...

Abstract We address in this paper the parallel machine scheduling problem with a shared loading server and unloading server. Each job has to be loaded by before being processed on one of available machines unloaded immediately after its processing. The objective function involves minimization overall completion time, known as makespan. This important raises flexible manufacturing systems, autom...

In this paper, we provide a new class of randomized approximation algorithms for scheduling problems by directly interpreting solutions to so-called time-indexed LPs as probabilities. The most general model we consider is scheduling unrelated parallel machines with release dates (or even network scheduling) so as to minimize the average weighted completion time. The crucial idea for these multi...

In this paper, we study a dynamic parallel machine scheduling problem with release times, where the release times and processing times of jobs may change during the production process due to uncertainties. The problem is different from classical scheduling problems in the deterministic environment where all information of jobs is known at the beginning of the scheduling horizon and will not cha...