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Network flows in optimisation problems and their extensions

Network flows in optimisation problems and their extensions

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24th European Conference on Modelling and Simulation, ECMS 2010

作者： Šeda, Miloš Faculty of Mechanical Engineering Institute of Automation and Computer Science Brno University of Technology Technicka 2 Brno 616 69 Czech Republic EPI Kunovice Osvobození 699 Kunovice 686 04 Czech Republic

ISBN: (纸本)9780956494405

Network flow problems are among the most important ones in graph theory. Since there are many well-known polynomial algorithms for solving the classical Maximum Flow Problem, we, instead of summarising them, focus on special formulations and their transformation into the basic one, and because other graph theory problems may be formulated with the help of network flow tools, we show how to formulate the Minimum Steiner Tree Problem using the maximum network flow terminology and derive its mathematical model. Finally, we discuss the Integer Maximal Multicommodity Flow Problem. Since this network flow version belongs to the class of NP-hard combinatorial problems, for large scale instances, it must be solved by approximation or heuristic techniques. We present a stochastic heuristic approach based on a simulated annealing algorithm. © ECMS.

关键词： Heuristic methods

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A surrogate approach for the global optimization of signal settings and traffic assignment problem

A surrogate approach for the global optimization of signal s...

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International Conference on Intelligent Transportation

作者： Ludovica Adacher Ernesto Cipriani Faculty of Engineering Department of computer science and automation University of Rome Italy Faculty of Engineering Department of science of civil engineering University of Rome Italy

We extend a `surrogate problem' approach that is developed for a class of stochastic discrete optimization problems so as to tackle the global signal settings and traffic assignment combined problem. We compare a stochastic method based on the surrogate approach, called Surrogate Method (SM), with a Projected Gradient Algorithm (PGA), which uses the Armijo rule for the step size estimation routine. Numerical experiments conducted on a test network show that the surrogate method converges to a really small area and it finds much more efficient solutions.

关键词： Estimation Electronics packaging Optimization Convergence Shape Junctions Book reviews

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Recruiting and retaining women in electrical and communications engineering

Recruiting and retaining women in electrical and communicati...

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Joint International IGIP-SEFI Annual Conference 2010

作者： Paloheimo, Aura Putila, Pirjo Simpanen, Piia Aalto University School of Science and Technology Department of Computer Science and Engineering Computer Science Building Konemiehentie 2 EspooFI-02150 Finland Aalto University School of Science and Technology Faculty of Electronics Communications and Automation Otakaari 5 EspooFI-02150 Finland

The underrepresentation of women in engineering programmes continues to be a world-wide phenomenon. The proportion of women has traditionally been especially low in the fields of electronics, computer science and mechanical engineering. This problem was noticed in the Department of Electrical and Communications engineering at Helsinki University of Technology in the late nineties. A series of gender and technology education projects was launched in 2001-2007. The projects were financed by the European Social Fund and the State Provincial Office of Southern Finland. In these projects, the first step was to consider the gender differences in both recruiting and retaining processes. Next, the aim was to create a guideline for solutions for persuading the best candidates to study our field and improve the working environment in a way that would benefit all the students, both female and male. The idea in the projects was to use our faculty as a pilot and then spread the best practises further. The main purposes of the projects were to promote female-friendly education, increase the proportion of female students, researchers and teachers as well as to develop more co-operative learning practices in curricula. Lots of activities were conducted during the projects, including interdisciplinary courses, mentoring programs, occupational coaching, elementary school co-operation, best-practice material delivery and subject-related websites. The lasting improvements that resulted, both directly and indirectly, from the projects were a well-established tutoring system, a more interdisciplinary curriculum, networking meetings for female researchers and a yearly women's day event covering the whole university as well as comprehensive school girls and alumnae. Over a million of Euros was invested in these projects and the number of participants was over 7000. The results of these projects can be seen in figures. From 2000 to 2009, the proportion of female applicants accepted into the

关键词： Curricula

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Underlying system using dynamic clustering and structural similarity

Underlying system using dynamic clustering and structural si...

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2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010

作者： Hernando Colina, M. Eliezer Castañeda, M. Wladimir Rodríguez, G. Carlos Parra, O. University of Pamplona Engineering Faculty Systems Engineering Department Pamplona Norte de Santander Colombia Automation and Control Department University of Andes System School Sede la Hechicera Estado Mérida Mérida Venezuela Department of Computer Engineering Faculty System School Sede la Hechicera Estado Mérida Mérida Venezuela

ISBN: (纸本)9781424469208

we propose a new perspective on the identification of linear dynamic system using structural similarity. The proposal consists in the meaningful exploration of each model, specifically behavior of the state variable. The decomposition of the behavior of a state variable in different modes of behavior of a system, each one has a different set of weights and shows different patterns of behavior. These weights are more significant than eigenvalue to develop a new technique for identifying linear system and invariants over time. We use two methods based on different areas of knowledge such as linear algebra and statistics. This paper is a conceptual proof that enriches the implementation and validity not only from point of view algorithmic likewise physic mathematical. © 2010 IEEE.

关键词： Artificial intelligence

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Scheduling fuzzy job shop using random key genetic algorithm

Scheduling fuzzy job shop using random key genetic algorithm

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International Conference on Machine Learning and Cybernetics

作者： Zheng, You-Lian Li, Yuan-Xiang Lei, De-Ming Ma, Chuan-Xiang State Key Laboratory of Software Engineering Wuhan University Wuhan 430072 China Faculty of Mathematics and Computer Science Hubei University Wuhan 430062 China School of Automation Wuhan University of Technology Wuhan 430070 China

ISBN: (纸本)9781424465262

Genetic algorithm has been successfully applied to fuzzy job shop scheduling problem, however, the coding and decoding strategies of the problem aren't fully investigated. This paper presents an efficient random key genetic algorithm (RKGA) for the problem to minimize the maximum fuzzy completion time. RKGA uses a novel random key representation, a new decoding strategy and discrete crossover. RKGA is applied to some fuzzy scheduling instances and compared with a genetic algorithm and particle swarm optimization with genetic operators. Computational results demonstrate that RKGA has the promising advantage on fuzzy scheduling. © 2010 IEEE.

关键词： Genetic algorithms

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Scheduling jobs and preventive maintenance on fuzzy job shop using genetic algorithm

Scheduling jobs and preventive maintenance on fuzzy job shop...

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International Conference on Machine Learning and Cybernetics

作者： Zheng, You-Lian Li, Yuan-Xiang Lei, De-Ming State Key Laboratory of Software Engineering Wuhan University Wuhan 430072 China Faculty of Mathematics and Computer Science Hubei University Wuhan 430062 China School of Automation Wuhan University of Technology Wuhan 430070 China

ISBN: (纸本)9781424465262

Preventive maintenance (PM) has been considered on many scheduling problems, however, the problem of scheduling jobs and PM on fuzzy job shop are seldom investigated. This paper presents a random key genetic algorithm (RKGA) for the problem with resumable jobs and PM in the fixed time intervals. RKGA uses a novel random key representation, a new decoding strategy incorporating maintenance operation, and discrete crossover. RKGA is applied to some instances to minimize the maximum fuzzy completion time. Computational results show the optimization ability of RKGA on fuzzy scheduling with PM. © 2010 IEEE.

关键词： Preventive maintenance

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Scheduling flexible job shop with fuzzy processing time using co-evolutionary genetic algorithm

Scheduling flexible job shop with fuzzy processing time usin...

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Global Congress on Intelligent Systems

ISBN: (纸本)9780769543048

Fuzzy scheduling and flexible scheduling in job shop environment have been extensively considered;however, the problems with both flexible process plan and fuzzy processing conditions are seldom investigated for the high complexity. This paper addresses the scheduling problems of flexible job shop with fuzzy processing time. We developed an efficient co-evolutionary genetic algorithm (CGA) for the problems to minimize the fuzzy makespan. CGA uses two-string representation with a real string and an integer string, a new decoding strategy and the co-evolutionary technique applied to chromosome. In each generation, both the evolution of only one string for some individuals and the evolution of two strings for other individuals occur. We conduct numerical experiments by using some instances to show the effectiveness of CGA. Computational results show that CGA performs better than the existing methods from literature. © 2010 IEEE.

关键词： Genetic algorithms

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An analysis of the BBO fans online social gaming community

An analysis of the BBO fans online social gaming community

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Roedunet International Conference (RoEduNet)

作者： Vlad Posea Mihaela Balint Alexandru Dimitriu Alexandru Iosup Faculty of Automation and Computer Science Politehnica University of Bucharest Romania Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technnology Netherlands

ISBN: (纸本)9781424473359

Online social gaming is an emerging Internet application that combines online gaming and online social networking functionality for the benefit of millions of daily users. While researchers have investigated the structure of (social) networks for decades, the activity characteristics and the community structure of online social gaming remain relatively unknown. To address this situation, in this work we investigate the BBO Fans club for online bridge. First, we introduce a method to collect and analyze data from BBO Fans and its underlying gaming platform. Our method is novel in that it addresses the lack of a strict definition of social relationship between BBO Fans players, and it defines several player types with implications on community formation and operation. Second, we use the proposed method to collect and analyze a 40-day BBO Fans dataset comprising over 140,000 unique players and over 3,000,000 unique play sessions. Third, we compare the characteristics of BBO Fans with other large social networking and online gaming applications. We find in particular that BBO Fans generates similar levels of activity as but has different community characteristics than similarly-sized games on FaceBook, the largest social network in the world.

关键词： Fans Social network services Bridges Facebook computer science IP networks Data analysis automation Mathematics Application software

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RETRACTED ARTICLE: Material inner defect detection by a vibration spectrum analysis

RETRACTED ARTICLE: Material inner defect detection by a vibr...

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作者： Krejcar, Ondrej Frischer, Robert Dept. of Measurement and Control Center for Applied Cybernetics Faculty of Electrical Engineering and Computer Science Ostrava Czech Republic Dept. of Automation and Computing in Metallurgy VSB Technical University of Ostrava Ostrava Czech Republic

ISBN: (纸本)9781424474806

In this paper is described possibility of nondestructive diagnostics of solid objects by software analysis of vibration spectrum. With using platform MATLAB, we can process and evaluate information from accelerometer, which is placed on the measured object The analog signal is digitized by special I/O device dSAPCE CP-1104 and then processed offline with FFT (Fast Fourier Transform). The power spectrum is then examined by developed evaluating procedures and individual results are displayed in bar graph. When we take a look on results, there is an evidently correlation between spectrum and examining object (inner defects). © 2010 IEEE.

关键词： Spectrum analysis

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A fuzzy approach to intelligent control of low voltage electrical networks with distributed power from renewable resources

A fuzzy approach to intelligent control of low voltage elect...

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IEEE International Energy Conference and Exhibition (EnergyCon)

作者： Florin Dragomir Otilia Elena Dragomir Eugenia Minca Automation Computer Science and Electrical Engineering Department Electrical Engineering Faculty Valahia University of Targoviste Targoviste Romania

Due to the complexity of modern distributed power generation, a conventional automation system is not always capable to provide sufficient information, so intelligent control approaches are requiring. This paper is concerned with intelligent control technologies applied to distributed power generation network. Precisely it presents a fuzzy controller based control solution, developed with Matlab that allows the implementation of different renewable energy resources (RES) in a distributed power energy network (PD) and ensures a greater stability.

关键词： Generators Batteries Production Monitoring Stability analysis Distributed power generation computer architecture

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