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In this paper, we present the problem of appropriate feature selection for constructing a Maximum Entropy (ME) based Named Entity Recognition (NER) system under the multiobjective optimization (MOO) framework. Two conflicting objective functions are simultaneously optimized using the search capability of MOO. These objectives are (i). the dimensionality of features, which is tried to be minimized,...
The purpose of this work is to optimize the design of an MSK modulator able to operate at a high data modulation. The optimization approach applies an experimental design methodology having in view to minimize the modulator response time. This methodology is traditionally applied by agronomists and chemists. We show how it can be perfectly suited to optimize electronic designs.
In this paper we present and evaluate the power of best-first search over AND/OR search spaces for multi-objective constraint optimization. The main virtue of the AND/OR representation of the search space is its sensitivity to problem structure, which can translate into significant time savings. We introduce a linear-space best-first search algorithm that explores an AND/OR search tree and uses a...
We give a subexponential time approximation algorithm for the Unique Games problem. The algorithms run in time that is exponential in an arbitrarily small polynomial of the input size, nε. The approximation guarantee depends on ε, but not on the alphabet size or the number of variables. We also obtain a subexponential algorithms with improved approximations for SMALL-SET EXPANSION and MULTICUT. For...
The advance in energy storage technologies allows to improve significantly the performances of electrified light transportation systems. This is aligned with the massive requirement of competitiveness compared to other transportation technologies in terms of sustainable energy and high reduction of environmental impact. The installation of stationary storage devices, as widely recognized, allows the...
This report presents a technique of chaotification based on the optimal time-delay feedback that can make a system chaotic with large chaotic parameters range. The bifurcation analysis is done to determine the stability of the time-delay system. An implicit performance index and an optimization strategy are proposed for the time-delay control scheme that can be effectively carried out to obtain the...
Quality of service (QoS) provisioning generally assumes more than one QoS measure which implies that QoS routing can be categorized as an instance of routing subject to multiple constraints: delay-jitter, bandwidth, cost, etc. We study the problem of constructing multicast trees to meet the QoS requirements of real-time interactive applications where it is necessary to provide bounded delays and bounded...
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.
Many design objectives drive airplane development. One main driver is the reduction of aircraft weight, while retaining safety, function and performance. As extensive measurement campaigns have revealed, weight can be saved, as the electrical network exhibits low utilisation of the given network capacities. This is driven by requirements to be met, coincidence effects, and unexpectedly low system...
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.
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...
This paper proposes an application of Evolutionary Algorithms (EAs) such as Differential Evolution (DE), Evolutionary Programming (EP), Real coded Genetic Algorithm (RGA), Covariance Matrix Adaptation Evolution Strategy (CMAES) and Particle Swarm Optimization (PSO) to Reactive Power Planning (RPP) problem. RPP is a non-smooth and non-differentiable optimization problem for a multiobjective function...
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 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...
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...
This paper mainly introduces the edge extraction algorithm of thenar palm print image based on wavelet modulus maxima multi-scale. First, some classical edge detection operators and the Hough transform are introduced. And then the paper focuses on the wavelet modulus maxima multi-scale edge detection algorithm. In this algorithm, a multi-scale Gaussian edge detector is constructed. According to cross-scale...
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...
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