A bi-objective genetic algorithm approach to risk mitigation in project scheduling
Yükleniyor...
Dosyalar
Tarih
2008
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier B.V.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
A problem of risk mitigation in project scheduling is formulated as a bi-objective optimization problem, where the expected makespan and the expected total cost are both to be minimized. The expected total cost is the sum of four cost components: overhead cost, activity execution cost, cost of reducing risks and penalty cost for tardiness. Risks for activities are predefined. For each risk at an activity, various levels are defined, which correspond to the results of different preventive measures. An MIP model and a heuristic solution approach based on genetic algorithms (GAs) is proposed. GAs provide a fast and effective solution approach to the problem. (c) 2007 Elsevier B.V. All rights reserved.
Açıklama
11th International Conference on Industrial Engineering and Systems Management -- MAY 16-19, 2005 -- Marrakech, MOROCCO
Anahtar Kelimeler
Project Scheduling, Risk, Multiobjective Optimization, Genetic Algorithms
Kaynak
International Journal Of Production Economics
WoS Q Değeri
Q1
Scopus Q Değeri
Q1
Cilt
112
Sayı
1
