Results 61 to 70 of about 4,494 (215)

job shop scheduling problem:literature review

Tikrit Journal of Pure Science, 2020
As an extension of the Job Shop Scheduling (JSP), Flexible job-shop Scheduling Problem (FJSP), can be defined as one of the most significant problems in up-to-date manufacturing systems, recently a lot of studies have been conducted to address FJSP ...
Marrwa Abd-AlKareem Alabajee, Anfal A. Fadhil, Rasha Gh. Alsarraj   +2 more
doaj   +1 more source

Evaluación del Algoritmo Genético y GRASP para Minimizar el Makespan en la Programación de un Taller de Flujo en Diferentes Instancias Instancias de Número de Trabajos e Iteraciones

Revista Técnica de la Facultad de Ingeniería, 2021
En este artículo se plantean algoritmos meta-heurísticos para el problema de programación de producción de un taller de flujo, considerado como un problema no polinómico completo debido a su complejidad.
Juan José Paredes Quevedo, Luis-Enrique Soto-Chávez, Luis Omar Alpala, Alberto León-Batallas   +3 more
doaj   +1 more source

CloudSim 7G: An Integrated Toolkit for Modeling and Simulation of Future Generation Cloud Computing Environments

Software: Practice and Experience, Volume 55, Issue 6, Page 1041-1058, June 2025.
ABSTRACT Background Cloud Computing has established itself as an efficient and cost‐effective paradigm for the execution of web‐based applications, and scientific workloads, that need elasticity and on‐demand scalability capabilities. However, the evaluation of novel resource provisioning and management techniques is a major challenge due to the ...
Remo Andreoli, Jie Zhao, Tommaso Cucinotta, Rajkumar Buyya   +3 more
wiley   +1 more source

A Hybrid Task Scheduling Technique in Fog Computing Using Fuzzy Logic and Deep Reinforcement Learning

IEEE Access
This work presents an innovative method for scheduling tasks in a fog computing environments by combining the fuzzy logic with deep reinforcement learning.
Prashanth Choppara, S. Sudheer Mangalampalli   +1 more
doaj   +1 more source

A Review of Benchmark and Test Functions for Global Optimization Algorithms and Metaheuristics

WIREs Computational Statistics, Volume 17, Issue 2, June 2025.
ABSTRACT Benchmarking in optimization is a critical step in evaluating the performance, robustness, and scalability of machine learning algorithms and metaheuristics. While trends in benchmark design continue to evolve, synthetic functions remain vital for fundamental stress tests and theoretical evaluations.
M. Z. Naser, Mohammad Khaled Al‐Bashiti, Arash Teymori Gharah Tapeh, Ahmad Naser, Venkatesh Kodur, Rami Hawileh, Jamal Abdalla, Nima Khodadadi, Amir H. Gandomi, Armin Dadras Eslamlou   +9 more
wiley   +1 more source

Sequencing situations with position‐dependent effects under cooperation

International Transactions in Operational Research, Volume 32, Issue 3, Page 1620-1640, May 2025.
Abstract This paper innovatively addresses the effect of cooperation on sequencing situations with position‐dependent effects. Specifically, we ensure the convexity of the associated sequencing games under the fulfillment of certain conditions related to the neighbor switching gains.
A. Saavedra‐Nieves, M. A. Mosquera, M. G. Fiestras‐Janeiro   +2 more
wiley   +1 more source

The Power of Reordering for Online Minimum Makespan Scheduling [PDF]

2008 49th Annual IEEE Symposium on Foundations of Computer Science, 2008
In the classic minimum makespan scheduling problem, we are given an input sequence of jobs with processing times. A scheduling algorithm has to assign the jobs to m parallel machines. The objective is to minimize the makespan, which is the time it takes until all jobs are processed.
Deniz Özmen, Matthias Englert, Matthias Westermann   +2 more
openaire   +3 more sources

The role of drones in disaster response: A literature review of operations research applications

International Transactions in Operational Research, Volume 32, Issue 2, Page 545-589, March 2025.
Abstract The increasing use of drones has led to growing interest in their potential applications in disaster response. In this study, we examine the role of drones in disaster management under three categories of operation types, which are information collection, delivery, and communication network recovery.
Ecem Yucesoy, Burcu Balcik, Elvin Coban
wiley   +1 more source

An Efficient Services Placement for Optimizing the Energy Consumption in Volunteer Cloud Computing

Concurrency and Computation: Practice and Experience, Volume 37, Issue 3, 1 February 2025.
ABSTRACT Volunteer Cloud computing, like traditional Cloud computing, has gained significant importance due to its ability to harness resources from individual personal machines, contributed voluntarily by their owners. In this paradigm, personal machine resources are shared voluntarily by their owners.
Omar Ben Maaouia, Hazem Fkaier, Christophe Cerin, Mohamed Jemni   +3 more
wiley   +1 more source

An Efficient Task Scheduling for Cloud Computing Platforms Using Energy Management Algorithm: A Comparative Analysis of Workflow Execution Time

IEEE Access
Cloud computing platform offers numerous applications and resources such as data storage, databases, and network building. However, efficient task scheduling is crucial for maximizing the overall execution time.
Adeel Ahmed, Muhammad Adnan, Saima Abdullah, Israr Ahmad, Nazik Alturki, Leila Jamel   +5 more
doaj   +1 more source