the development of optimization and mathematical models for closed loop supply chain (clsc) design has attracted considerable interest over the past decades. however, the uncertainties that are inherent in the network design and the complex interactions among various uncertain parameters are challenging the capabilities of the developed tools. the aim of this paper, therefore, is to propose a n...

This paper presents a model on the leverage of …nancial intermediaries, where debt are held by risk averse agents and equity by the risk neutral. The paper shows that in an unregulated competitive market, …nancial intermediaries choose to be leveraged over the social best level. This is because the leverage of one intermediary imposes a negative externality upon others by reducing their pro…t m...

Increasing the intermittent outputs of renewable energy sources (RESs) has forced planners to define a new concept named flexibility. In this regard, some short- and long-term solutions, such as transmission expansion planning (TEP) storage systems (ESSs) have been suggested improve flexibility amount. A proper optimization procedure is required choose an optimal solution Therefore, mixed-integ...

there are several strategies for maintenance and repairing of devices in industry. however, they are still confronted with many uncertainties. a hydraulic lifting device after ten years of working in a technical center in isfahan is faced with uncertainty in terms of reliability. being able to know the reliability of pieces means predicting failure occurrences, which is accomplished by conditio...

This paper introduces a heuristic for multiple sequence alignment aimed at improving real-time object recognition in short video streams with uncertainties. It builds upon the idea of progressive but is cognitively economical to extent that underlying edit distance approach adapted account human working memory limitations. Thus, proposed procedure has reduced computational complexity compared o...

In this paper, we solve a multi-product price optimization problem under interval uncertainty of the sensitivity parameter in demand function. The objective is to maximize revenue firm where decision variables are prices products supplied by firm. We propose an approach that yields solutions remain optimal different variations estimated parameters. adopt robust building data-driven set for para...

This paper discusses the optimization of emergency resource scheduling for major railway emergencies under multiple uncertainties while considering in demand, reserve, and transportation costs resources. We introduce a novel approach that integrates stochastic mathematical programming, interval parameter fuzzy programming to study uncertain interactions coupling. A two-stage credibility-constra...

Integrated energy system (IES) is an effective way to realize the efficient utilization of energy. Under deregulated electricity market, IES operator gains profits by providing customers with service, including electricity, heat or cooling With deepening market reform, higher penetration rate renewable energy, economic risks embed in IES. Based on this, optimal scheduling model regional conside...