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Particle swarm optimization (PSO) has shown to be an efficient, robust and simple optimization algorithm. Recently, the mono-objective version of the PSO algorithm was adapted and used to optimize only one performance of RF circuits, mainly the voltage gain of low noise amplifiers. In this work, we propose to optimize more than one performance function of LNAs while satisfying imposed and inherent...
The voltage coupled to wayside cables is a very common EMC interface in electric transportation system, that has impact on several subsystems. The choice of the calculation method and its accuracy influences the design and its optimization. Some real cases are used as an example to identify the relevant elements and to derive some general rules to guide the choice.
Electrical storage devices can be very useful in electrified mass transit and in particular in trolleybus lines and tramways. In fact, storage devices are capable of supporting the line voltages of old lines, avoiding the opening of minimum voltage protective relays, especially when the new generation vehicles of greater power circulate. Among electrical storage devices, supercapacitors seem to be...
The balanced graph partitioning consists in dividing the vertices of an undirected graph into a given number of subsets of approximately equal size, such that the number of edges crossing the subsets is minimized. In this work, we present a multilevel memetic algorithm for this NP-hard problem that relies on a powerful grouping recombination operator and a dedicated local search procedure. The proposed...
Inductors play an essential role in the design of RF circuits. The parasitic effects plaguing integrated planar inductors require an accurate modeling and the careful exploration of their performance trade-offs. In this paper, a multi-objective performance modeling technique of planar inductors is presented, that supports both top-down and bottom-up design of RF circuits.
Particle Swarm Optimization (PSO) modified to solve image processing problem with reference to enhancement technique is proposed in this paper. The enhancement process is an optimization problem with several constraints. The objective of the proposed PSO is to maximize an objective fitness criterion in order to improve the contrast and detail in an image by adapting the parameters of a novel extension...
There are certain aspects in the field of networking that needs to be accomplished, yet it is very difficult to achieve. One such concept is Optimization. Achieving a high degree of reliability will eventually lead us to Optimization. But, achieving high degree of reliability?? This indeed is a very big problem that needs a solution. There have been many solutions before that solves the problem in...
The primary goal of hyperthermia controller is to achieve and maintain desired temperatures of ≥43°C within the tumor while limiting temperatures outside the tumor to safe levels ≤410°C from a baseline temperature of 37°C for a time duration of 30-60 minutes (3600 sees). The thermal model of the tissue is obtained by Pennes' bio-heat transfer equation and solved using finite difference method. A scanned...
In this paper we introduce a new cardinality constraint: Ordered Distribute. Given a set of variables, this constraint limits for each value v the number of times v or any value greater than v is taken. It extends the global cardinality constraint, that constrains only the number of times a value v is taken by a set of variables and does not consider at the same time the occurrences of all the values...
In view of current characteristics of well drilling support system, analyzing mass of well history data, logging data and drilling materials of each oil field in China, a new scheme optimization method is established using comprehensive comparison and analysis of multi-well data. The new method is successfully applied to a distributed drilling support system that uses network and computer as operation...
Nonlinear optimization plays an important role in science computation and engineering analysis. Newton like method is popular for solving the nonlinear optimization problem. an inexact Newton algorithm is proposed recently, in which the preconditioned conjugate gradient method is applied to solve the Newton equations. Later, the algorithm is improved by efficiently using automatic differentiation...
In city traffic system We adopt intelligent traffic system. We make use of the tension characteristics of composite-spring-net to solve traffic problems. The tension characteristics are that every route income is more, its residual capacity is smaller, and every route income is smaller, its residual capacity is more. We use the tension characteristics, and use MAS at tempering traffic system choosing...
Combines three programs based on Vague Set application papers, we obtain a complete program of Vague preferred method. Vague proposed single value data to the data conversion formula for the similarity measures between Vague sets formula, they become the preferred program method Vague technical support. Through the optimal selection of small hydropower installed capacity of the discussion, the conclusion...
The notion of vertex sparsification (in particular cut-sparsification) is introduced in, where it was shown that for any graph G = (V, E) and any subset of k terminals K ⊂ V, there is a polynomial time algorithm to construct a graph H = (K, EH) on just the terminal set so that simultaneously for all cuts (A,K-A), the value of the minimum cut in G separating A from K-A is approximately the same as...
The reduction of the low frequency electric and magnetic field of electric railways by optimization of the positions of return conductor(s) and feeder(s) is the focus of this paper. Possible optimization criteria are shown and further will be applied to the typical system configuration of a high performance Austrian railway track. The results of the optimization show, that there is a great potential...
Evolutionary testing has successfully applied search based optimization algorithms to the test data generation problem. The existing works use different techniques and fitness functions. However, the used functions consider only one objective, which is, in general, related to the coverage of a testing criterion. But, in practice, there are many factors that can influence the generation of test data,...
Chaotic Ant Swarm is a recently new and promising algorithm of Optimization Problem based on the chaotic theory and foraging food processing of ants. This paper proposes a Multi-Objective Optimization version of CAS, named MOCAS, by changing the colony behavior organization. The proposed algorithm also introduced a re-distribution operation that ensures the uniform distribution of final result. We...
A method for recognizing the emotion states of subjects based on 30 features extracted from their Galvanic Skin Response (GSR) signals was proposed. GSR signals were acquired by means of experiments attended by those subjects. Next the data was normalized with the calm signal of the same subject after being de-noised. Then the normalized data were extracted features before the step of feature selection...
This paper describes a graphical method for the optimization of Quadrature Voltage Controlled Oscillators (QVCOs) based on the coupling of two LC-tank VCO. A three-dimensional phase noise analysis diagram and graphical optimization approach is presented, to optimize QVCO phase noise while satisfying design constraints such as power dissipation, tank amplitude, tuning range and start up condition....
This brief proposes a novel multi-objective heuristic. It is a transformation of a mono-objective heuristic into a multi-objective one by addition of an archive and some non dominance computing routines. Performances of the proposed heuristic are demonstrated thru test functions. An application to the optimal sizing of a class AB second generation CMOS current conveyor is presented. Comparison with...
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