Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Design Rules: The Power of Modularity Volume 1
Design Rules: The Power of Modularity Volume 1
Principles of Corporate Finance with Cdrom
Principles of Corporate Finance with Cdrom
Valuing information technology infrastructures: a growth options approach
Information Technology and Management
Managing Information Technology Investment Risk: A Real Options Perspective
Journal of Management Information Systems
Knowledge-based organization evaluation
Decision Support Systems
Multiobjective evolutionary algorithms: a comparative case studyand the strength Pareto approach
IEEE Transactions on Evolutionary Computation
| Hi-index | 0.00 |
To address the issue of decision support for designing and managing flexible projects and systems in the face of uncertainties, this paper integrates real options valuation, decision analysis techniques, Monte Carlo simulations and evolutionary algorithms in an evolutionary real options framework. The proposed evolutionary real options framework searches for an optimized portfolio of real options and makes adaptive plans to cope with uncertainties as the future unfolds. Exemplified through a test case, the evolutionary framework not only compares favorably with traditional fixed design approaches but also delivers considerable improvements over prevailing real options practices.