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.

chapter 1|78 pages

Convex Functions in Optimization

ByJoydeep Dutta

chapter 2|66 pages

Introduction to Game Theory

ByAditya K. Jagannatham, Vimal Kumar

chapter 3|40 pages

Multi-Objective Optimization

ByKalyanmoy Deb, Karthik Sindhya, Jussi Hakanen

chapter 4|48 pages

Hybridizing MOEAs with Mathematical-Programming Techniques

BySaúl Zapotecas-Martínez, Adriana Lara, Carlos A. Coello Coello

chapter 5|54 pages

Other Decision-Making Models

ByRaghu Nandan Sengupta

chapter 6|62 pages

Queueing Theory

ByÜlkü Gürler, Emre Berk

chapter 7|64 pages

Inventory Theory

ByEmre Berk, Ülkü Gürler

chapter 8|108 pages

Statistical Methods

ByRaghu Nandan Sengupta, Debasis Kundu

chapter 10|62 pages

Univariate Volatility Modeling: Theory and Practice

ByR. Krishnan

chapter 11|58 pages

Metaheuristic Techniques

BySunith Bandaru, Kalyanmoy Deb

chapter 12|50 pages

Neural Networks

ByAmit Bhaya

chapter 13|86 pages

Simulation Modeling and Analysis

ByAparna Gupta

chapter 14|26 pages

Web-Enabled Decision-Support Systems

ByDeepu Philip, Dmitri G. Markovitch, Lois S. Peters

chapter 15|44 pages

Algorithms and Their Design

BySurya Prakash, Phalguni Gupta, Raghunath Tewari

chapter 16|42 pages

Data Envelopment Analysis: An Overview

BySubhash C. Ray