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Genetic algorithm-based multi-criteria project portfolio selection · Study

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ArticleGenetic algorithm-based multi-criteria project portfolio selection

Lean Yu2010

Article2010

Genetic algorithm-based multi-criteria project portfolio selection

Lean Yu · Shouyang Wang · Fenghua Wen · Kin Keung Lai

108 citations·0/0 files stored·Annals of Operations Research

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Multi-Criteria Decision Making Optimization and Mathematical Programming Resource-Constrained Project Scheduling

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References

1952PORTFOLIO SELECTION*1994Decisions with Multiple Objectives: Preferences and Value Tradeoffs.1977Decisions with Multiple Objectives: Preferences and Value Tradeoffs.1996Multicriteria Methodology for Decision Aiding 1999New Product Portfolio Management: Practices and Performance 1992A critical survey on the status of multiple criteria decision making theory and practice 2009Healthcare Financial Management 2007Advances in Decision Analysis

Cited by

2018Portfolio selection of distributed energy generation projects considering uncertainty and project interaction under different enterprise strategic scenarios 2019Project portfolio selection and scheduling optimization based on risk measure: a conditional value at risk approach 2015Modeling and solving the project selection and scheduling 2023The use of multi-criteria decision-making methods in project portfolio selection: a literature review and future research directions 2023Bi-objective multi-mode resource-constrained multi-project scheduling using combined NSGA II and Q-learning algorithm

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Details

Year2010

Typearticle

Published2010-12-17

VenueAnnals of Operations Research

ISSN-L0254-5330

Languageen

Citations108

Files0 public / 0

ShelfMulti-Criteria Decision Making

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doi10.1007/s10479-010-0819-6

openalex_workW1967620975

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2019PROJECT PORTFOLIO SELECTION PROBLEMS: A REVIEW OF MODELS, UNCERTAINTY APPROACHES, SOLUTION TECHNIQUES, AND CASE STUDIES

2021A method of network robustness under strategic goals for project portfolio selection

2015An extended model for project portfolio selection with project divisibility and interdependency