Academic Journal

Portfolio Optimization From a Set of Preference Ordered Projects Using an Ant Colony Based Multi-objective Approach

التفاصيل البيبلوغرافية
العنوان: Portfolio Optimization From a Set of Preference Ordered Projects Using an Ant Colony Based Multi-objective Approach
المؤلفون: S. Samantha Bastiani, Laura Cruz-Reyes, Eduardo Fernandez, Claudia Gomez
المصدر: International Journal of Computational Intelligence Systems, Vol 8, Iss 100 (2015)
بيانات النشر: Springer, 2015.
سنة النشر: 2015
المجموعة: LCC:Electronic computers. Computer science
مصطلحات موضوعية: Project portfolio, multi-objective optimization, ant-colony meta-heuristic, Multi-Criteria Decision, Electronic computers. Computer science, QA75.5-76.95
الوصف: In this paper, a good portfolio is found through an ant colony algorithm (including a local search) that approximates the Pareto front regarding some kind of project categorization, cardinalities, discrepancies with priorities given by the ranking, and the average rank of supported projects; this approach is an improvement towards a proper modeling of preferences. The available information is only projects’ ranking and costs, and usually, resource allocation follows the ranking priorities until they are depleted. Results show that our proposal outperforms previous approaches.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 18756891
1875-6883
Relation: https://www.atlantis-press.com/article/25868672.pdf; https://doaj.org/toc/1875-6883
DOI: 10.1080/18756891.2015.1129590
URL الوصول: https://doaj.org/article/b775831964554eb6b77d409ce014d2ea
رقم الانضمام: edsdoj.b775831964554eb6b77d409ce014d2ea
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:18756891
18756883
DOI:10.1080/18756891.2015.1129590