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3rd International Conference on Signals, Circuits and Systems

作者： Zaman, Safaa El-Abd, Mohammed Karray, Falchri Univ Waterloo ECE Dept Waterloo ON N2L 3G1 Canada

ISBN: (纸本)9781424443970

Intrusion Detection Systems (IDSs) deal with large amount of data containing irrelevant and redundant features, which leads to slow training and testing processes, heavy computational resources and low detection accuracy. Therefore, the features selection is an important issue in intrusion detection. Reducing the features set improves the system accuracy and speeds up the training and testing phases considerably. In this paper, we investigate the use of evolution algorithms for features selection approach in Intrusion Detection System (IDS). In order to this we have implemented three different evolutionary computation algorithms: binary genetic algorithms (GAs), binary Particle Swarm Optimization (PSO) and Differential Evolution (DE). The performances of three algorithms according to different metrics are compared when applied to the KDD Cup 1999 dataset.

关键词： Intrusion detection Systems features selection Evolution algorithms binary genetic algorithms binary Particle Swarm Optimization Differential Evolution

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Automatic Generation of Domain-Specific genetic Algorithm Operators using the Hierarchical Bayesian Optimization Algorithm 17

Automatic Generation of Domain-Specific Genetic Algorithm Op...

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genetic and Evolutionary Computation Conference (GECCO)

作者： Janikow, Cezary Z. Hauschild, Mark Univ Missouri One Univ Blvd St Louis MO 63109 USA

ISBN: (纸本)9781450349208

GAs started with generic mutation and crossover operators, but over the years specialized representations and/or operators designed specifically for a given domain or problem, such as TSP, proved the most effective. In this paper, we define a class of new GA operators which automatically adjust for each problem. The adjustments or instantiations are based on the domain model presented to the operators in the form of Bayesian Network, as generated in the hierarchical Bayesian Optimization Algorithm (hBOA). We then show that these operators outperform standard random operators as long as the models are of sufficient quality.

关键词： binary genetic algorithms crossover operators mutation operators informed operators knowledge-intensive operators hierarchical BOA probabilistic model

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Designing optimum locations and properties of MTMD systems 5

Designing optimum locations and properties of MTMD systems

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5th Euro Asia Civil Engineering Forum (EACEF)

作者： Frans, Richard Arfiadi, Yoyong Atma Jaya Yogyakarta Univ Postgrad Program Civil Engn Yogyakarta 55281 Indonesia Atma Jaya Yogyakarta Univ Dept Civil Engn Jalan Babarsari 44 Yogyakarta 55281 Indonesia

Reducing vibration of buildings during earthquake is of the primary concern to most structural engineers. Several methods have been proposed including the use of damper systems. This paper considers the optimization procedures of multi tuned mass damper (MTMD) systems. A number of researches have considered designing MTMD systems to reduce structural response during earthquake. However, most of the research considered only the properties of the MTMD, while the locations of MTMD are decided beforehand. This paper considers the optimization both the properties and location of MTMD in structures. The hybrid coded genetic algorithms (HCGAs) are used to optimize the dampers. The HCGAs are the optimization method that utilize binary coded GAs (BCGAs) and real coded GAs (RCGAs). The RCGAs are used to optimize the properties of MTMD, while the BCGAs are utilized to optimize the location of the dampers. Numerical examples are then carried out to see the ability of the proposed method in optimizing the locations and the properties of the dampers. Numerical examples are carried out to a three, ten-, and forty-story buildings. For the three-and ten-story buildings, the location of the MTMD is obtained at the top of the buildings, whereas for forty-story building the location of the dampers is depending on the mass ratio of the dampers. For 1% mass ratio, the locations of the dampers, are at the 39th and 40th floors, respectively. For 2% mass ratio, the dampers locations are obtained at the 38th and 40th floor, respectively;while for 4% mass ratio, the dampers locations are at 37th and 40th floors, respectively. Numerical simulations show the effectiveness of MTMD systems in reducing response of structures due to earthquake. (C) 2015 The Authors. Published by Elsevier Ltd.

关键词： optimization binary genetic algorithms real coded genetic algorithms hybrid genetic algorithms multiple tuned mass dampers

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Designing Optimum Locations and Properties of MTMD Systems

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Procedia Engineering 2015年 125卷 892-898页

作者： Richard Frans Yoyong Arfiadi Postgraduate Program of Civil Engineering Atma Jaya Yogyakarta University Yogyakarta 55281 Indonesia Department of Civil Engineering Atma Jaya Yogyakarta University Jalan Babarsari 44 Yogyakarta 55281 Indonesia

Reducing vibration of buildings during earthquake is of the primary concern to most structural engineers. Several methods have been proposed including the use of damper systems. This paper considers the optimization procedures of multi tuned mass damper (MTMD) systems. A number of researches have considered designing MTMD systems to reduce structural response during earthquake. However, most of the research considered only the properties of the MTMD, while the locations of MTMD are decided beforehand. This paper considers the optimization both the properties and location of MTMD in structures. The hybrid coded genetic algorithms (HCGAs) are used to optimize the dampers. The HCGAs are the optimization method that utilize binary coded GAs (BCGAs) and real coded GAs (RCGAs). The RCGAs are used to optimize the properties of MTMD, while the BCGAs are utilized to optimize the location of the dampers. Numerical examples are then carried out to see the ability of the proposed method in optimizing the locations and the properties of the dampers. Numerical examples are carried out to a three, ten-, and forty-story buildings. For the three- and ten-story buildings, the location of the MTMD is obtained at the top of the buildings, whereas for forty-story building the location of the dampers is depending on the mass ratio of the dampers. For 1% mass ratio, the locations of the dampers, are at the 39 th and 40 th floors, respectively. For 2% mass ratio, the dampers locations are obtained at the 38th and 40th floor, respectively; while for 4% mass ratio, the dampers locations are at 37 th and 40 th floors, respectively. Numerical simulations show the effectiveness of MTMD systems in reducing response of structures due to earthquake.

关键词： optimization binary genetic algorithms real coded genetic algorithms hybrid genetic algorithms multiple tuned mass dampers

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