Inventory Based Bi-Objective Flow Shop Scheduling Model and Its Hybrid Genetic Algorithm

Mathematical Problems in Engineering - Egypt
doi 10.1155/2013/976065
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Hindawi Limited

Related search

Design of a Genetic Algorithm for Bi-Objective Flow Shop Scheduling Problems With Re-Entrant Jobs

International Journal of Advanced Manufacturing Technology
ControlSystems EngineeringIndustrialMechanical EngineeringManufacturing EngineeringComputer Science ApplicationsSoftware
2011English

Bi-Objective Scheduling for Re-Entrant Hybrid Flow Shop With Learning Effect and Setup Times

Scientia Iranica
2017English

A Hybrid Genetic Algorithm for the Re-Entrant Flow-Shop Scheduling Problem

2007English

A Simheuristic for Bi-Objective Stochastic Permutation Flow Shop Scheduling Problem

Journal of Project Management
2019English

Bi-Objective Re-Entrant Hybrid Flow Shop Scheduling Considering Energy Consumption Cost Under Time-Of-Use Electricity Tariffs

Complexity
MultidisciplinaryComputer Science
2020English

A Genetic Algorithm for a Bicriteria Flow-Shop Scheduling Problem

Transactions of the Institute of Systems, Control and Information Engineers
1997English

Hybrid Genetic Algorithm With Multiparents Crossover for Job Shop Scheduling Problems

Mathematical Problems in Engineering
MathematicsEngineering
2015English

The Hybrid Flow Shop Scheduling Problem

European Journal of Operational Research
Information SystemsSimulationManagement ScienceManagementComputer ScienceModelingOperations Research
2010English

Bi-Objective Optimization Model for Integrated Preventive Maintenance and Flexible Job-Shop Scheduling Problem

Computer Science and Information Technology
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy