Results 11 to 20 of about 2,111 (188)

Makespan minimization with OR-precedence constraints [PDF]

open access: yesJournal of Scheduling, 2021
AbstractWe consider a variant of the NP-hard problem of assigning jobs to machines to minimize the completion time of the last job. Usually, precedence constraints are given by a partial order on the set of jobs, and each job requires all its predecessors to be completed before it can start.
openaire   +3 more sources

Envy-Free Makespan Approximation [PDF]

open access: yesSIAM Journal on Computing, 2012
We study envy-free mechanisms for scheduling tasks on unrelated machines (agents) that approximately minimize the makespan. For indivisible tasks, we put forward an envy-free poly-time mechanism that approximates the minimal makespan to within a factor of $O(\log m)$, where $m$ is the number of machines.
Edith Cohen   +4 more
openaire   +4 more sources

Solución del Problema de Flow Shop Flexible Aplicando el Algoritmo Genético de Chu- Beasley

open access: yesEntre Ciencia e Ingeniería, 2013
El problema de secuenciación de tareas en sistemas de producción lineal Flow Shop ha sido un tema de gran importancia en la investigación de operaciones donde se busca establecer la programación óptima de trabajos en máquinas dentro de un proceso de ...
Ángela Patricia Jiménez Morales   +2 more
doaj   +1 more source

Feature-Extraction-Based Iterated Algorithms to Solve the Unrelated Parallel Machine Problem With Periodic Maintenance Activities

open access: yesIEEE Access, 2021
This paper considers an unrelated parallel machine problem with job release times and maintenance activities, in which machines have to periodically undergo maintenance since the status of the machines will be deteriorated by job-induced dirt.
Jihong Pang, Ya-Chih Tsai, Fuh-Der Chou
doaj   +1 more source

Cost and Time Economical Planning Algorithm for Scientific Workflows in Cloud Computing

open access: yesFuture Internet, 2021
A heterogeneous system can be portrayed as a variety of unlike resources that can be locally or geologically spread, which is exploited to implement data-intensive and computationally intensive applications.
Jabanjalin Hilda   +1 more
doaj   +1 more source

HWACOA Scheduler: Hybrid Weighted Ant Colony Optimization Algorithm for Task Scheduling in Cloud Computing

open access: yesApplied Sciences, 2023
With the advancement of technology and time, people have always sought to solve problems in the most efficient and quickest way possible. Since the introduction of the cloud computing environment along with many different sub-substructures such as task ...
Chirag Chandrashekar   +4 more
doaj   +1 more source

Perancangan Sistem Penjadwalan Mesin Hybrid Flow Shop dengan Algoritma Levyflight Discrete Firefly

open access: yesComTech, 2014
The main issues that have been encountered in PT Surya Toto Indonesia is companies do not know how to measure the performance of the production process so as the utilization of resources that will be used isn’t yet to be known with efficiently.
Andrew Verrayo Limas   +2 more
doaj   +1 more source

Effective Scheduling of Multi-Load Automated Guided Vehicle in Spinning Mill: A Case Study

open access: yesIEEE Access, 2023
In the Flexible Manufacturing System (FMS), where material processing is carried out in the form of tasks from one department to another, the use of Automated Guided Vehicles (AGVs) is significant.
Parkavi Krishnamoorthy   +7 more
doaj   +1 more source

On the Minimization of the Makespan Subject to Flowtime Optimality [PDF]

open access: yesOperations Research, 1993
When scheduling n jobs on m identical machines in parallel, two performance criteria are of particular interest: the makespan (the completion time of the last job) and the flowtime (the sum of the completion times of all n jobs). Whereas minimizing makespan is NP-hard, many schedules minimize flowtime, and they are easy to characterize.
Brian Thomas Eck, Michael L. Pinedo
openaire   +2 more sources

AdPSO: Adaptive PSO-Based Task Scheduling Approach for Cloud Computing

open access: yesSensors, 2022
Cloud computing has emerged as the most favorable computing platform for researchers and industry. The load balanced task scheduling has emerged as an important and challenging research problem in the Cloud computing.
Said Nabi   +3 more
doaj   +1 more source

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