Results 51 to 60 of about 14,397 (225)

Self-adaptive cuckoo search algorithm for hybrid flowshop makespan problem

open access: yes, 2015
As a typical NP-hard combination optimization problem, the hybrid flow shop widely exists in manufacturing systems. In this paper, a mathematical model of hybrid flow shop is formulated, and then a new encoding and decoding method based on matrix is ...
Han Zhonghua   +5 more
core   +1 more source

A Simple and Effective Approach for Tackling the Permutation Flow Shop Scheduling Problem

open access: yesMathematics, 2021
In this research, a new approach for tackling the permutation flow shop scheduling problem (PFSSP) is proposed. This algorithm is based on the steps of the elitism continuous genetic algorithm improved by two strategies and used the largest rank value ...
Mohamed Abdel-Basset   +4 more
doaj   +1 more source

Scheduling optimization of optical lens polishing

open access: yesInternational Transactions in Operational Research, Volume 33, Issue 6, Page 3744-3768, November 2026.
Abstract Optical systems have achieved notable progress in focusing and imaging technologies; however, manual grinding remains indispensable, resulting in elevated costs, extended timelines, and inefficiencies. These difficulties are compounded by operational constraints, uneven machine utilization, and risks of order delays and escalating expenses ...
Tzu‐Chin Lin, Bertrand M. T. Lin
wiley   +1 more source

Minimizing makespan of a resource-constrained scheduling problem: a hybrid greedy and genetic algorithms [PDF]

open access: yes, 2015
Resource-Constrained Project Scheduling Problem (RCPSP) is considered as an important project scheduling problem. However, increasing dimensions of a project, whether in number of activities or resource availability, cause unused resources through the ...
Baharudin, B. T. Hang Tuah   +3 more
core   +1 more source

InterRC: An Inter-Resources Collaboration Heuristic for Scheduling Independent Tasks on Heterogeneous Distributed Environments

open access: yesMendel, 2019
The independent task scheduling problem in distributed computing environments with makespan optimization as an objective is an NP-Hard problem. Consequently, an important number of approaches looking to approximate the optimal makespan in reasonable time
Abdelhamid Khiat, Abdelkamel Tari
doaj   +1 more source

The Permutation Flow Shop Scheduling Problem with Human Resources: MILP Models, Decoding Procedures, NEH-Based Heuristics, and an Iterated Greedy Algorithm

open access: yesMathematics, 2022
In this paper, we address the permutation flow shop scheduling problem with sequence-dependent and non-anticipatory setup times. These setups are performed or supervised by multiple servers, which are renewable secondary resources (typically human ...
Victor Fernandez-Viagas   +4 more
doaj   +1 more source

On‐Time Meal Delivery Assisted by Drone Resupply

open access: yesNaval Research Logistics (NRL), Volume 73, Issue 7, Page 1047-1066, October 2026.
ABSTRACT Ensuring timely delivery is crucial with the increasing competition in online meal delivery services. This requires the industry to adopt new technologies and the corresponding operational models, including the use of drones. Concerning the desired features of meal delivery, such as safety and reliability, we propose an operational model that ...
Wenqian Liu, Lindong Liu, Xiangtong Qi
wiley   +1 more source

Makespan - Normal Distributed Dataset.

open access: yes, 2016
Makespan - Normal Distributed Dataset.
Mohammed Abdullahi (846140)   +1 more
core   +1 more source

Behavior of the main parameters of the Genetic Algorithm for Flow Shop Scheduling Problems

open access: yesRevista Cubana de Ciencias Informáticas, 2014
There are different suggested values to adapt the basic parameters of a Genetic Algorithm, however, these values may not be the optimal for all kinds of applications.
Yunior César Fonseca Reyna   +3 more
doaj  

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

open access: yesIEEE 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   +1 more
doaj   +1 more source

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