This book offers a timely review of cutting-edge applications of computational intelligence to business management and financial analysis. It covers a wide range of intelligent and optimization techniques, reporting in detail on their application to real-world problems relating to portfolio management and demand forecasting, decision making, knowledge acquisition, and supply chain scheduling and management.
This book offers a timely review of cutting-edge applications of computational intelligence to business management and financial analysis. It covers a wide range of intelligent and optimization techniques, reporting in detail on their application to real-world problems relating to portfolio management and demand forecasting, decision making, knowledge acquisition, and supply chain scheduling and management.
Srikanta Patnaik
Modeling Dynamic Demand Portfolio Optimization Problems Macroeconomic Uncertainty Epidemic Modeling Demand Forecasting Domestic product modeling Stochastic control methods Fuzzy MCDM approach Multi-objective evolutionary algorithms Multiobjective programming problems Software analytics in business Supply chain performance SCOR model Automatic trading systems Stock returns modeling