Project scheduling, a heuristic approach: AN ADAPTIVE PSO AND GA FOR MULTI-MODE RESOURCE-CONSTRAINED PROJECT SCHEDULING PROBLEMS - Couverture souple

Cuong, Dao Duc

 
9783843376990: Project scheduling, a heuristic approach: AN ADAPTIVE PSO AND GA FOR MULTI-MODE RESOURCE-CONSTRAINED PROJECT SCHEDULING PROBLEMS
Couverture souple
ISBN 10 : 3843376999 ISBN 13 : 9783843376990
Editeur : LAP LAMBERT Academic Publishing, 2010

Synopsis

In the recent years, project scheduling and management has been challenging many researchers and has become an intriguing field of study. There are many factors such as personnel, budget, time, materials,etc. that need to be taken into account before running a project. Practical situations have been successfully modeled in mathematical formulations and many problem test cases have been introduced to deal with project scheduling problems. However, having been proved as NP-hard problem, only projects with small numbers of activities can be solved using linear or integer programming approaches while a real project may involve hundreds or even thousands of tasks or activities to be completed. This study proposes an efficient algorithm based on Adaptive Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) to deal with large-scale project scheduling problems, where an activity can be performed in different modes under precedence relations and resource constraints.

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Présentation de l'éditeur

In the recent years, project scheduling and management has been challenging many researchers and has become an intriguing field of study. There are many factors such as personnel, budget, time, materials,etc. that need to be taken into account before running a project. Practical situations have been successfully modeled in mathematical formulations and many problem test cases have been introduced to deal with project scheduling problems. However, having been proved as NP-hard problem, only projects with small numbers of activities can be solved using linear or integer programming approaches while a real project may involve hundreds or even thousands of tasks or activities to be completed. This study proposes an efficient algorithm based on Adaptive Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) to deal with large-scale project scheduling problems, where an activity can be performed in different modes under precedence relations and resource constraints.

Biographie de l'auteur

M.Eng in Industrial Engineering from Asian Institute of Technology in 2009, presently Academic Affairs Officer, PetroVietnam University Project in Vietnam.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2010
Langue
anglais
ISBN 10 
3843376999
ISBN 13 
9783843376990
Reliure
Broché
Nombre de pages
72
Coordonnées du fabricant
non disponible
Personne responsable
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