Computational Management is a special branch of artificial intelligence whose application is in the area of Business Management. It consists of a set of computational tools and techniques, inspired from various objects and aspects of nature dealing with decision making and survival. These intelligent tools and techniques can be utilized to address various business and management problems that couldn’t be solved by traditional mathematical, statistical and modeling approaches. These techniques include fuzzy logic, neural networks, evolutionary computation, swarm intelligence, support vector machines, expert systems and many more. In recent past, Computational Management has successfully addressed the requisites for diverse range of business applications from time to time including production and operations, finance, logistics, supply chain management, pricing, marketing and many more.
IThis book series attempts to cover all the aspects of business management including theoretical, empirical and experimental computational models as well as simulation of algorithms for optimizing business applications. This series is expected to be a resource for academics, researchers and practitioners working in the area of computational management. The topics of interest although not limited to are as follows:
• Computational Aspects of Business Management • Computational Economics • Multi Criteria Decision Making • Design, Analysis and Applications of Optimisation Algorithms • Dynamic, Stochastic and Combinatorial Optimization Models • Price risk mitigation strategies • Learning and Forecasting Demand Uncertainty • Generic problems in logistic distribution networks • Collaboration in decentralized distribution networks • Supply chain scheduling and planning • Supply Chain Resilience • Transfer price optimization • Mathematical Modeling and Simulation • Models and Tools of Knowledge Acquisition • Neural Networks and Genetic Algorithms • Operations Research • Scheduling Planning • Solution Algorithms • Supply Chain Analytics • Theoretical and Empirical Computational Models
Prof. Srikanta Patnaik (Editor in Chief)
Department of Computer Science and Engineering
SOA University, Bhubaneswar, Odisha, India
Prof. Kayhan Tajeddini, Professor of Strategic Management and International Business Institute for International Strategy, Tokyo International University, Tokyo, Japan
Prof. Vipul JAIN
Victoria Business School,
Victoria University of Wellington, Wellington 6140
Pragyan Nanda Assistant Professor, IIMT, Bhubaneswar
Dr.Hidekazu Yoshioka, Graduate School of Natural Science and Technology, Shimane University, Matsue, Japan • Dr. A. Juan, IN3 - Computer Science Dept., UniversitatOberta de Catalunya, Barcelona, Spain • Dr. Rangan Gupta, Department of Economics, University of Pretoria, South Africa • Dr. Xin Sheng, Lord Ashcroft International Business School, Anglia Ruskin University, United Kingdom • Dr. Pedro Dinis Gaspar, Department of Electromechanical Engineering, University of Beira Interior, Covilhã, Portugal • Dr. Vasilios N. Katsikis, Department of Economics, Division of Mathematics and Informatics, National and Kapodistrian University of Athens, Greece • Dr. TihanaŠkrinjarić, Department of Mathematics, Faculty of Economics and Business, University of Zagreb, Zagreb • Dr. Tanmoy Som, Department of Mathematical Sciences, Indian Institute of Technology (Banaras Hindu University), Varanasi • Dr. Rajesh Rajagopal, ABV-Indian Institute of Information Technology and Management, Gwalior,India • Dr. Vijaya Kumar Manupati, Department of Mechanical Engineering, National Institute of Technology Warangal, India • Dr.Vinay Yadav, Indian Institute of Management Jammu, Jammu, India • Dr. NalinipravaTripathy, Department of Finance, Indian Institute of Management Shillong, Meghalaya, India • Dr. Jayesh M. Dhodiya, Applied Mathematics and Humanities Department,S. V. National Institute of Technology, Surat, India • Dr. Guru Prasad Samanta, Department of Mathematics, Indian Institute of Engineering Science and Technology, Shibpur, Howrah, India • Dr. SubhankarKarmakar, Environmental Science and Engineering Department (ESED), Indian Institute of Technology Bombay,Mumbai, India • Dr. Anusuya Ghosh, Thoucentric Technology Private Limited, Bangalore, India • Dr. Deepak Tandon, Department of Finance, International Management Institute, New Delhi • Dr. Somen Dey, School of Management Studies, Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India • Dr. Sahana Prasad, Department of Statistics, Christ, Deemed to be University, Bangalore
• Dr. Adarsh Anand, Department of Operational Research, University of Delhi, Delhi, India • Dr. Rojers P. Joseph, Strategic Management, IIM Rohtak, Rohtak, India • Dr. Abhijeet Chandra, Department of Finance & Accounting, Vinod Gupta School of Management, Indian Institute of Technology, Kharagpur, India • Dr. Yash Daultani, Indian Institute of Management Lucknow, Lucknow,India • Dr. Alok Kumar, FORE School of Management, New Delhi, India • Dr. SomayyaMadakam, Information Technology, FORE School of Management, New Delhi, India • Dr. JustynaPatalas-Maliszewska, University of ZielonaGóra, Institute of Mechanical Engineering, Poland • Dr. SampreetMangalvedhe, Schneider, Inc. Green Bay, Wisconsin, USA • Dr. Namita Srivastava, Department of Mathematics & Computer Application, M.A.N.I.T, Bhopal, India • Dr. Rajya Lakshmi G, School of Mechanical Engineering, Vellore Institute of Technology, Vellore, India • Dr. Ramkumar M, Operations and Quantity Methods, Indian Institute of Management Raipur, Raipur, India • Cláudia Matos, Department of Electromechanical Engineering, University of Beira Interior, Portugal • Tânia M. Lima, Department of Electromechanical Engineering, University of Beira Interior, Portugal • Dr. M. S. Gajanand, Indian Institute of Management Tiruchirappalli, Tiruchirappalli, India • Dr. Tahir Ahmad Wani, NIT Srinagar • Dr. Shweta Sharma, Department of Management Studies, Malaviya National Institute of Technology, Jaipur, India • Georgios Mamanis, Business Consultant, CGSoft, Greece
This is the first ever book series is being launched for the researchers who are doing research in the area of Machine Intelligence, Computational Intelligence and Machine Learning applications in Business Management.