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Open source Development Model Algorithm (ODMA) is one of the recently proposed heuristic algorithms that is inspired by open source software development mechanism and community's behaviors. The superior performance of this algorithm has been proven among the other most well-known algorithms such as genetic algorithm (GA) and particle swarm optimization (PSO). However, the original version of this...
The use of active magnetic bearings (AMB) is increasing in high-speed applications, because their low friction operation allows higher rotational speeds than the traditional bearings. The inherent instability and complexity of the AMB rotor system with high nonlinearities pose challenges to the controller design. This leads to a problem of robust design. Robustness of LQG and loop-shaping H∞ controllers...
Before performing the DNA computation, a set of specific DNA sequences are required. However, this is a burdensome task as too many constraints need to be satisfied. In this paper, ant colony algorithm is applied to solve the problem of DNA codewords design. Inspired by the traveling salesman problem, first a city matrix with T rows and S columns is designed, in which every city denotes a DNA sequence...
With the development of electric power, Large-scale Generating Unit in heat power plant is a system which is Strong-coupling, nonlinear and difficulty to establish accurate model, and etc, those characteristic become more and more prominent. So it is hard to make system gain optimum running effect with conventional control strategy. Aiming at characteristic of generating unit, GA-BP network is used...
This paper presents a new mathematical optimization model to determine the transformer capacity, conductor size and number of transformers and substations in an electric distribution system, in consideration of its special characteristics. In the model, many aspects of the operational and maintenance costs of the electric distribution system are considered. The principles of distribution network planning...
Genetic algorithm is very powerful tool at different optimization domain. It's known very well that pressure is one of the most important and effective parameter in fuel cell Performance. In this paper, two-variable GA was applied to determine the optimum value of anode and cathode pressure of a monocell PEMFC. A quasi two dimensional model is presented for the PEMFC and used as fitness function of...
Wireless ad hoc networks operation is constrained by energy consumption of every network nodes. To this end, this paper, based on Geographical Adaptive Fidelity (GAF) topology management protocol, analyzes the energy consumption in a rectangular ad-hoc wireless network. Three GAF models for energy efficiency are introduced and discussed: equal-grid, adjustable-grid and genetic algorithm models. In...
Basic ant colony algorithm is one kind of new heuristic biological modeling method which has the ability of global searching. In this paper, an efficient and reliable ant algorithm based load flow algorithm is developed. The load flow equations of a power system containing FACTS will be much more nonlinear and the equation set may be non-convex. The conventional NRLF method may not solve these equations...
In this paper we propose a clustering ensemble algorithm based on genetic algorithm. The most important feature of our method is ability to extract the number of clusters. Genetic algorithms have been known as methods with high ability to find the solution of optimization problems. One of these problems is clustering, a process that receives a dataset as input and divides its members into several...
An algorithm of coupled field-circuit simulation of the dynamics of an electromagnetic linear actuator operating in error actuated control system is presented. The software consists of three main parts: (a) numerical model of the actuator dynamics which includes equations of a transient electromagnetic field in a non-linear conducting and moving medium, (b) discrete model of electric circuit and (c)...
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