in this paper, a multi purpose function is presented for optimum design in circular hydrostatic axial bearings. one or more parameters that are directly or indirectly dependent on given data are optimized. usually in the local optimization methods, it is not possible to optimize several parameters simultaneously. in this research, simultaneous optimization of the power loss and the oil temperat...

The CONSERN project (COoperative aNd Self growing Energy awaRe Networks) develops the novel SelfGrowing concept. It is part of the European Commission’s FP7 research initiative focusing on the following two major research directions: i) Solutions for optimised energy and power consumption in a small scale, purpose-driven network through balancing autonomic and cooperative approaches and ii) mec...

Several interesting libraries for optimization have been proposed. Some focus on individual algorithms, or limited sets of them, and others problems. Frequently, the implementation one them does not precisely follow formal definition, they are difficult to personalize compare. This makes it perform comparative studies propose novel approaches. In this paper, we solve these issues with General P...

despite the growing use of evolutionary multi-objective optimization algorithms in different categories of science, these algorithms as a powerful tool in portfolio optimization and specially solving multi-objective portfolio optimization problem is still in its early stages. in this paper, moeas have been used for solving multi-objective portfolio optimization problem in tehran stock market. f...

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 ...

A tool for optimizing cost and time of a workflow execution with respect to allocation of multi-purpose resources is presented. The optimization is done as a result of simulations, which take into account the cost and time associated with each of the resources, when allocated to transitions in Petri nets representing a workflow. These attributes can be collected and updated based on the logs of...

in a robust parameter design (rpd) problem, the experimenter is interested to determine the values of con-trol factors such that responses will be robust or insensitive to variability of the noise factors. response sur-face methodology (rsm) is one of the effective methods that can be employed for this purpose. since quality of products or processes is usually evaluated through several quality ...

Researchers in the field of portfolio optimization made efforts to decrease uncertainty future returns. Any disturbance parameter values causes solution be non-optimal or impossible. This study designs a strong fuzzy-multipurpose model for stock based on Tehran Stock Exchange market data. At end paper, created is compared with results multi-objective model. The show that fuzzy has relative stab...

In this paper, we study the application oriented cross-layer protocol design and optimization. The goal of the study is to provide a feasible and flexible approach to solve the conflicts between the requirements of large scale, long life-time, and multi-purpose wireless sensor networks and the constraints of small bandwidth, low battery capacity, and limited node resources. We justify that the ...