models and algorithms are proposed based on the theory of Markov decision processes and Approximate Dynamic programming. Then …

The book is a benefit for graduate and postgraduate students in the areas of operations research, decision theory …, optimization theory, linear algebra, interval analysis, and fuzzy sets. The book will also be useful for the researchers in the … useful in applications such as automata theory, design of switching circuits, logic of binary relations, medical diagnosis …

fledged quantitative asset allocation and risk management. It employs such tools as enhanced modern portfolio theory using … portfolio risk, Value-at-Risk and Extreme Value Theory. All this is performed within the same conceptual, theoretical and …

with random expected value programming theory, and the hybrid intelligence algorithm solution model was designed. Aiming at … was designed using fuzzy random programming theory with customer demand as fuzzy random variables and a hybrid … intelligence algorithm solution was created.The research has significance both in theory and practice. Its theoretical significance …

the Set Packing Problem -- New Lower Bounds for the Three-Dimensional Strip Packing Problem -- A New Method for Parameter … Uncertain Parameters and the OWA Criterion -- Application of Scheduling Theory to the Bus Evacuation Problem Modelling Delay …

this obstacle. Optimization and Control for Systems in the Big-Data Era: Theory and Applications is divided into five parts …