A multi-objective invasive weed optimization algorithm for robust aggregate production planning under uncertain seasonal demand

This paper addresses a robust multi-objective multi-period aggregate production planning (APP) problem based on different scenarios under uncertain seasonal demand. The main goals are to minimize the total cost including in-house production, outsourcing, workforce, holding, shortage and employment/u...

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Bibliographic Details
Published in:	Computing Vol. 101; no. 6; pp. 499 - 529
Main Authors:	Goli, Alireza, Tirkolaee, Erfan Babaee, Malmir, Behnam, Bian, Gui-Bin, Sangaiah, Arun Kumar
Format:	Journal Article
Language:	English
Published:	Vienna Springer Vienna 01.06.2019 Springer Nature B.V
Subjects:	Artificial Intelligence Classification Computer Appl. in Administrative Data Processing Computer Communication Networks Computer Science Demand Employment Genetic algorithms Goal programming Information Systems Applications (incl.Internet) Integer programming Linear programming Mathematical models Mixed integer Multiple objective analysis Optimization Optimization algorithms Production planning Production scheduling Robustness (mathematics) Software Engineering Sorting algorithms Taguchi methods NSGA-II 68Txx 90B30 Robust optimization Aggregate production planning 90C59 Uncertain seasonal demand Multi-objective invasive weed optimization algorithm (MOIWO) 90B50
ISSN:	0010-485X, 1436-5057
Online Access:	Get full text
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