In cold rolling of silicon steel strip, edge drop directly affects the side cutting and yield steel. To improve in process, a multi-stand coordinated control strategy model based on multi-objective optimization are proposed. The first step is to analyze influence each stand work roll shifting (WRS) through finite element (FEM), then determine effectiveness actuator. Meanwhile, fitting proposed ...

In this paper, we study an integrated logistic system where the optimal location of depots and vehicles routing are considered simultaneously. This paper presents a new mathematical model for a multi-objective capacitated location-routing problem with a new set of objectives consisting of the summation of economic costs, summation of social risks and demand satisfaction score. A new multi-objec...

Although current technologies allow simple online banking transactions, it is vital to guarantee access bank branches both for customers and businesses. Banking branch interactions improve trust in institutions everyday situations emergencies. This research addresses the problem of location facilities. A set objective functions related socio-economic variables, geographical coverage bankers pre...

We design a control system for a prosthesis test robot that was previously developed for transfemoral prosthesis design and test. The robot’s control system aims to mimic human walking in the sagittal plane. It has been seen in previous work that trajectory control fails to produce human-like forces. Therefore, we utilize an impedance controller to achieve reasonable tracking of motion and forc...

the purpose of this paper is multi-objective optimization of refrigeration cycle by optimization of all components of the cycle contains heat exchangers, air condenser, evaporator and super-heater. studied refrigeration cycle is compression refrigeration cycle of unit 132 third refineries in south pars that provide chilled water for cooling refinery equipment's. cycle will be performed by ...

In this paper, we introduce the COmbinatorial Multi-Objective Multi-Armed Bandit (COMOMAB) problem that captures the challenges of combinatorial and multi-objective online learning simultaneously. In this setting, the goal of the learner is to choose an action at each time, whose reward vector is a linear combination of the reward vectors of the arms in the action, to learn the set of super Par...