A novel evolutionary algorithm called learner performance based behavior (LPB) is proposed in this article. The basic inspiration of LPB originates from the process accepting graduated learners high school different departments at university. In addition, changes those should do their studying behaviors to improve study level most important stages optimization; exploitation and exploration are ...

This paper deals with the leader-follower formation control problem while communication constraint in data transmitting is considered. From a practical point of view, we study the case in which unmanned vehicles are subject to the limited sensing, and communication is of a particular interest. A three-dimensional formation flight of multi-unmanned aerial vehicles with leader-follower configurat...

There are various automatic programming models inspired by evolutionary computation techniques. Due to the importance of devising an automatic mechanism to explore the complicated search space of mathematical problems where numerical methods fails, evolutionary computations are widely studied and applied to solve real world problems. One of the famous algorithm in optimization problem is shuffl...

Abstract: One of the equipment that can help improve distribution system status today and reduce the cost of fault time is remote control switches (RCS). Finding the optimal location and number of these switches in the distribution system can be modeled with various objective functions as a nonlinear optimization problem to improve system reliability and cost. In this article, a particle swarm ...

an evolutionary structural optimization (eso) method is used for plastic design of frames. based on safe theorems some criteria are derived and made an effort to satisfy them during the optimization process. in this regard, equilibrium is checked and yield condition is gradually satisfied during the optimization process. in this method, the amount of used material and the stiffness for each ele...

fuzzy clustering methods are conveniently employed in constructing a fuzzy model of a system, but they need to tune some parameters. in this research, fcm is chosen for fuzzy clustering. parameters such as the number of clusters and the value of fuzzifier significantly influence the extent of generalization of the fuzzy model. these two parameters require tuning to reduce the overfitting in the...

In this context, a novel structure has been proposed for simple Differential Evolutionary (DE) algorithm to solve optimal recloser placement. For this, an operator is added to DE algorithm to adapt concept of the problem. Other contribution of this work is formulating a novel objective function. The proposed objective function has been formulated to improve four reliability indices which consis...

In this context, a novel structure has been proposed for simple Differential Evolutionary (DE) algorithm to solve optimal recloser placement. For this, an operator is added to DE algorithm to adapt concept of the problem. Other contribution of this work is formulating a novel objective function. The proposed objective function has been formulated to improve four reliability indices which consis...

The system of asylum seeker detention in Australia is one in which those seeking refuge are stripped of many of their rights, including the right to health. This presents serious ethical problems for healthcare providers working within this system. In this article we describe asylum seeker detention and analyse the role of nurses. We discuss how far an "ethics of care" and witnessing the suffer...