neural network is one of the most widely used algorithms in the field of machine learning, on the other hand, neural network training is a complicated and important process. supervised learning needs to be organized to reach the goal as soon as possible. a supervised learning algorithm analyzes the training data and produces an inferred function, which can be used for mapping new examples.  hen...

determining the optimal location of wells with the aid of an automated search algorithm is a significant and difficult step in the reservoir development process. it is a computationally intensive task due to the large number of simulation runs required. therefore,the key issue to such automatic optimization is development of algorithms that can find acceptable solutions with a minimum number of...

this paper deals with volume fraction optimization of functionally graded (fg) beams resting on elastic foundation for maximizing the first natural frequency. the two-constituent functionally graded beam consists of ceramic and metal. these constituents are graded through the thickness of beam according to a generalized power-law distribution. one of the advantages of using generalized power- l...

among the several non-conventional processes, electrical discharge machining (edm) is the most widely and successfully applied for the machining of conductive parts. in this technique, the tool has no mechanical contact with the work piece and also the hardness of work piece has no effect on the machining pace. hence, this technique could be employed to machine hard materials such as super allo...

The Optimal Power Flow (OPF) is one of the most important issues in the power systems. Due to the complexity and discontinuity of some parameters of power systems, the classic mathematical methods are not proper for this problem. In this paper, the objective function of OPF is formulated to minimize the power losses of transmission grid and the cost of energy generation and improve the voltage ...

This paper deals with multi-objective optimization in gait planning of a 7-dof biped robot ascending and descending some staircases. Both its power consumption as well as dynamic balance margin depends on a few common design parameters. The biped robot should have a maximum dynamic balance margin but at the expense of minimum power. Thus, a conflicting relationship exists between these two obje...

a laboratory stirred tank bioreactor with six single and dual-impeller configurations was tested to obtain the optimum operating conditions for future biological processes. six impeller combinations consisting of three basic impeller types, namely rushton turbine (rt), pitched 4blade (p4b) and pitched 2blade (p2b) downward flow were investigated in 1.77 l bioreactor working volume. power consum...

in this paper, a genetic algorithm is presented for an identical parallel-machine scheduling problem with family setup time that minimizes the total weighted flow time ( ). no set-up is necessary between jobs belonging to the same family. a set-up must be scheduled when switching from the processing of family i jobs to those of another family j, i  j, the duration of this set-up being the sequ...

in this paper, power system restoration in the presence of svc and tcsc in partial outage conditions is considered and a new method for maximum load restoration using different control variables is presented. control variables are tap of transformers, generation rescheduling and operating points of facts devices. objective function is restored load (to be maximized) and constraints are voltage ...

today power consumption is considered to be one of the important issues. therefore, its reduction plays a considerable role in developing systems. previous studies have shown that approximately 50% of total power consumption is used in cache memories. there is a direct relationship between power consumption and replacement quantity made in cache. the less the number of replacements is, the less...