This handbook is an endeavour to cover many current, relevant, and essential topics related to decision sciences in a scientific manner. Using this handbook, graduate students, researchers, as well as practitioners from engineering, statistics, sociology, economics, etc. will find a new and refreshing paradigm shift as to how these topics can be put to use beneficially. Starting from the basics to advanced concepts, authors hope to make the readers well aware of the different theoretical and practical ideas, which are the focus of study in decision sciences nowadays. It includes an excellent bibliography/reference/journal list, information about a variety of datasets, illustrated pseudo-codes, and discussion of future trends in research.
Covering topics ranging from optimization, networks and games, multi-objective optimization, inventory theory, statistical methods, artificial neural networks, times series analysis, simulation modeling, decision support system, data envelopment analysis, queueing theory, etc., this reference book is an attempt to make this area more meaningful for varied readers. Noteworthy features of this handbook are in-depth coverage of different topics, solved practical examples, unique datasets for a variety of examples in the areas of decision sciences, in-depth analysis of problems through colored charts, 3D diagrams, and discussions about software.
1.Convex Functions and Optimization: Joydeep Dutta. 2. Dynamic Games: Aditya K. Jagannatham and Vimal Kumar.3. Multi-Objective Optimization: Kalyanmoy Deb, Karthik Sindhya, and Jussi Hakanen. 4. Hybridizing MOEAs with Mathematical-Programming Techniques: Saul Zapotecas-Martinez, Adriana Lara, and Carlos A. Coello Coello. 5. Other Decision-Making Methods: Raghu Nandan Sengupta. 6. Queueing Theory: Ulku Gurler and Emre Berk. 7. Inventory Theory : Emre Berk and Ulku Gurler. 8. Statistical Methods: Raghu Nandan Sengupta and Debasis Kundu. 9. Univariate Time-Series Analysis and Forecasting: Theory and Practice: R. Krishnan. 10. Univariate Volatility Modeling: Theory and Practice: R. Krishnan.11. Metaheuristic Techniques: Sunith Bandaru and Kalyanmoy Deb.12. Neural Networks: Amit Bhaya.13. Simulation Modeling and Analysis: Aparna Gupta. 14. Web-Based Decision-Support Systems: Deepu Philip, Dmitri G. Markovitch, and Lois S. Peters. 15. Algorithms and Their Design: Surya Prakash, Phalguni Gupta, and Raghunath Tewari. 16. Data Envelopment Analysis: An Overview: Subhash C. Ray. 17. Index.