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Business & Management - Operations Research & Decision Theory | Models & Methods for Project Selection - Concepts from Management Science, Finance and Information

Models & Methods for Project Selection

Concepts from Management Science, Finance and Information Technology

Graves, Samuel B., Ringuest, Jeffrey L.

2003, XVII, 193 p.

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Models & Methods for Project Selection systematically examines in this book treatment the latest work in the field of project selection modeling. The models presented are drawn from mathematical programming, decision theory, and finance. These models are examined in two categorical streams: the management science stream and the financial model stream. The book describes the assumptions and limitations of each model and provides appropriate solution methodologies. Its organization follows three main themes:
*Criteria for Choice: Chapters 1-3 investigate the effect of the choice of optimization criteria on the results of the portfolio optimization problem. 
*Risk and Uncertainty: Chapters 4-7 deal with uncertainty in the project selection problem. 
*Non-Linearity and Interdependence: These chapters deal with problems of non-linearity and interdependence as they arise in the project selection problem. Chapters 8, 9 and 10 present solution methodologies, which can be used to solve these most general project selection models.

Content Level » Research

Keywords » Finance - Imitation - Investment - algorithms - decision theory - evolutionary algorithm - linear optimization - modeling - optimization

Related subjects » Finance & Banking - Innovation - Technology Management - Operations Research & Decision Theory

Table of contents 

Dedication. Preface. 1. The linear multiobjective project selection problem. 2. Evaluating competing investments. 3. The linear project selection problem: an alternative to net present value. 4. Choosing the best solution in a project selection problem with multiple objectives. 5. Evaluating a portfolio of project investments. 6. Conditional stochastic dominance in project portfolio selection. 7. Mean-gini analysis in project selection. 8. A sampling-based method for generating nondenominated solutions in stochastic MOMP problems. 9. An interactive multiobjective complex search for stochastic problems. 10. An evolutionary algorithm for project selection problems based on stochastic multiobjective linearly constrained optimization. Index.

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