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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Vydané v:	Computing Ročník 101; číslo 6; s. 499 - 529
Hlavní autori:	Goli, Alireza, Tirkolaee, Erfan Babaee, Malmir, Behnam, Bian, Gui-Bin, Sangaiah, Arun Kumar
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Vienna Springer Vienna 01.06.2019 Springer Nature B.V
Predmet:	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
On-line prístup:	Získať plný text
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