Intelligent scheduling covers various tools and techniques for successfully and efficiently solving the scheduling problems. In this paper, we provide a survey of intelligent scheduling …
For a dynamic traveling salesman problem (DTSP), the weights (or traveling times) between two cities (or nodes) may be subject to changes. Ant colony optimization (ACO) algorithms …
E Vallada, R Ruiz - European Journal of Operational Research, 2011 - Elsevier
In this work a genetic algorithm is presented for the unrelated parallel machine scheduling problem in which machine and job sequence dependent setup times are considered. The …
In this paper, we consider the problem of scheduling aircraft (plane) landings at an airport. This problem is one of deciding a landing time for each plane such that each plane lands …
X Zhu, WE Wilhelm - IIE transactions, 2006 - Taylor & Francis
This paper reviews the literature related to the class of scheduling problems that involve sequence-dependent setup times (costs), an important consideration in many practical …
KH Kim, JW Bae - Transportation science, 2004 - pubsonline.informs.org
To reduce delay in ship operations in automated container terminals, it is important to make different types of container handling equipment to operate harmoniously during this …
G Rabadi, RJ Moraga, A Al-Salem - Journal of Intelligent Manufacturing, 2006 - Springer
The problem addressed in this paper is the non-preemptive unrelated parallel machine scheduling problem with the objective of minimizing the makespan. Machine-dependent and …
JP Arnaout, G Rabadi, R Musa - Journal of Intelligent Manufacturing, 2010 - Springer
This paper addresses the non-preemptive unrelated parallel machine scheduling problem with machine-dependent and sequence-dependent setup times. All jobs are available at …
C Low - Computers & Operations Research, 2005 - Elsevier
This article addresses a multi-stage flow shop scheduling problem with unrelated parallel machines. Some practical processing restrictions such as independent setup and …