In this paper, we consider a multi-period fuzzy portfolio optimization problem with minimum transaction lots. Based on possibility theory, we formulate a mean-semivariance portfolio selection model with the objectives of maximizing the terminal wealth and minimizing the cumulative risk over the...

The pulverizing system serves an important function in the safe and efficient operation of thermal power units. The effect of coal moisture and pulverized coal moisture on the pulverizing system was considered in establishing a mass and energy balance-based dynamic mathematical model of a coal...

Finding efficient alternative to CDiC (Conventional Distillation Column) for methanol-water separation has been an attractive field of study in literature. In this work, five heat pump-assisted schemes are proposed and compared to each other to find the optimal one; (1) VRC (Vapor Recompression...

The main goal of this paper is proposing of economic model of advanced investment strategies based on a priori knowledge of expert for financial decision making. There is described a priori knowledge in detail, which is based on volatility increasing of selected financial instruments in selected...

Рассмотрены основные этапы построения нечетких моделей: экспертное оценивание, идентификация структуры, идентификация параметров. Отмечено, что экспертное...

Genetic algorithms were the first evolutionary algorithm designed. These algorithms simulate natural selection to produce good solutions quickly for complex problems. Job shop scheduling with sequence dependent setup times is an NP-hard problem – any algorithm to optimize this problem has...

Guanxi covers not only the relationships, but also the core social customs of individuals from China. This study is similar to previous studies, in focusing on the link between an individual’s guanxi and the organization. It differs from previous studies, however, in the way that...

Genetic algorithms (GAs) are appropriate when investors have the objective of obtaining mean-variance (VaR) efficient frontier as minimising VaR leads to non-convex and non-differential risk-return optimisation problems. However GAs are a time-consuming optimisation technique. In this paper, we...

Purpose – The purpose of this paper is to propose a universal approach for configuration synthesis of reconfigurable robots based on fault tolerant indices. Design/methodology/approach – A universal approach is introduced to determine the best configuration of redundant reconfigurable robots...

Purpose The purpose is to analyze and discuss the sustainable development (SD) and financing risk assessment (FRA) of resource-based industrial clusters under the Internet of Things (IoT) economy and promote the application of Machine Learning methods and intelligent optimization algorithms in...