Minimizing mean tardiness by Job scheduling on parallel robots is very important in the scheduling domain. In this problem, there is a series of n-number independent jobs which are ready to be scheduled at the time of zero. Corresponding to each work, the processing time and duration date are determined. The aim of this approach […]
In this paper, we propose a genetic fuzzy image filtering based on rank-ordered absolute differences (ROAD) and median of the absolute deviations from the median (MAD). The proposed method consists of three components, including fuzzy noise detection system, fuzzy switching scheme filtering, and fuzzy parameters optimization using genetic algorithms (GA) to perform efficient and effective […]
This paper presents determination of optimum size and location of distributed generators (DGs) for reliability improvement of distribution systems in the presence of time varying loads using Genetic Algorithm (GA). The main innovation of this paper is considering of annual load duration curve for determination of size and location of DGs for reliability improvement. For […]
The main contribution of the present research arises from developing the traditional methods in the area of segmentation of brain magnetic resonance imaging (MRI). Contemporary research is now developing techniques to solve the whole of considerable problems in this field, such as the fuzzy local information c-mean (FLICM) approach that incorporate the local spatial and […]
This paper presents an advanced optimization technique to solve unit commitment problems and reliability issues simultaneously for thermal generating units. To solve unit commitment, generalized benders decomposition along with genetic algorithm to include minimum up/down time constraints are proposed, and for reliability issues consideration, a fuzzy stochastic-based technique is presented. To implement the problem into […]
The topic of power allocation in MIMO systems for wireless communication in order to reach high capacity or low bit error rate has gained some attention. In this paper, heuristic algorithms, including genetic and particle swarm optimization algorithms, are applied to find the optimal power allocation for achieving best capacity benefit. Two cases of un-polarized […]
In order to analyze the mathematical modeling and PID controller performance of a quadrotor, this paper firstly, describes the quadrotor flight dynamics according to “Newton-Euler laws”, then equations of motion linearized and transfer functions for 6 degree of freedom obtained in state space domain. Classic PID controller based on “Ziegler-Nichols method” is designed and implemented […]
by development of using software of Enterprise Content Management (ECM), necessity of improving electronic Correspondence of inter-enterprise is felt more than before in order to enterprise cooperation. Despite existence of some bases for enterprise content management such as ECE protocol still there are some problems such as user intervention, delay, consumption of paper, parallelism, impossibility […]
A higher-order sliding approach to control a bioreactor model is proposed by non-commensurate fractional equations. The model outputs by the help of a controller reached the desired values and track them. According to existing conditions and chattering reduction, a high-order sliding mode has been chosen to design the controller. The purpose of the paper is […]
Sliding mode control is an efficient and robust control method widely used in nonlinear systems. Power systems are one of the largest nonlinear dynamic systems which their transient stability analyses have a lot of importance. In this paper, sliding mode control is applied for improving the low frequency oscillations damping of a single machine connected […]
