This paper presents a differential evolution optimized fuzzy clustering algorithm (DEOFCA), which combines differential evolution (DE) algorithm and fuzzy clustering theory. Since DE algorithm has strong global search...
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This paper presents a differential evolution optimized fuzzy clustering algorithm (DEOFCA), which combines differential evolution (DE) algorithm and fuzzy clustering theory. Since DE algorithm has strong global search ability and good robustness, DEOFCA uses DE to replace the iteration process of fuzzy C means clustering algorithm, by which the global optimization capability is greatly improved. An adaptive adjusting strategy for control parameters is integrated with the algorithm to eliminate negative effects of the control parameters setting to algorithm performance and efficiency. The proposed algorithm is applied to a case of power system, and the results demonstrate the feasibility and efficiency of this novel method.
Epsilon Airlines faced the allocation of wheelchair problem. To minimize the cost of providing wheelchair assistance to its passengers, we analysis the trade-off between explicit costs(chairs and personnel) and implic...
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Epsilon Airlines faced the allocation of wheelchair problem. To minimize the cost of providing wheelchair assistance to its passengers, we analysis the trade-off between explicit costs(chairs and personnel) and implicit costs(losses in market share). Then, we develop MultiConcourse Airport Model to simulate the interactions between escorts, wheelchairs, and passengers. In addition,the Airline Competition Model uses game-theoretic in seeking the maximum profits and configuration scheme based on the least cost airlines. To put these models into reality, we incorporate extensive demographic date and run a case study on 2005 Southwest Airlines flight data from Midland TX, Columbus OH, St. Louis MO.
Reservoir history matching refers to the process of continuously adjusting the parameters of the reservoir model, so that its dynamic response will match the historical observation data, which is a prerequisite for ma...
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Reservoir history matching refers to the process of continuously adjusting the parameters of the reservoir model, so that its dynamic response will match the historical observation data, which is a prerequisite for making forecasts based on the reservoir model. With the development of optimization theory and machine learning algorithms, automatic history matching has made numerous breakthroughs for practical applications. In this perspective, the existing automatic history matching methods are summarized and divided into model-driven and surrogate-driven history matching methods according to whether the reservoir simulator needs to be run during the automatic history matching process. Then, the basic principles of these methods and their limitations in practical applications are outlined. Finally, the future trends of reservoir automatic history matching are discussed.
The aim of this paper is to model and simulate a cantilever beam as energy harvester to expose to wind vibrations. A mathematical model describes the behavior of cantilever beam and the electromechanical coupling, usi...
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ISBN:
(纸本)9781479999835
The aim of this paper is to model and simulate a cantilever beam as energy harvester to expose to wind vibrations. A mathematical model describes the behavior of cantilever beam and the electromechanical coupling, using piezoelectric constitutive equations. An experimental setup of a fixed configuration (dimensions, materials, boundaries and shape) is performed by means of such device and the effects caused by the wind force on the cantilever are analyzed. The same device is used for a simulation, implemented with Comsol Multiphysics, in which wind force is simulated like a pressure acting on the cantilever. The comparison between simulation and experimental results validates the simulation method and allows an appropriate choice of the most suitable shape for this kind of cantilever: the choice is carried out using the optimization platform KIMEME.
A modified dynamic lattice searching （DLS） method is developed to study on structure evolution of metal oxide clusters with increase size （n） in different proportion[the ratio of metal atoms to oxygen atoms,includ...
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A modified dynamic lattice searching （DLS） method is developed to study on structure evolution of metal oxide clusters with increase size （n） in different proportion[the ratio of metal atoms to oxygen atoms,including MO,MO （or MO）,MO,MO].Results show that,for MO clusters,the main configurations of the cluster evolve from tubular to cubic with cluster *** MO clusters,the configurations of suspended oxygen atoms are more popular at small *** structures are more stable for a large range of cluster *** MO clusters,the pyramid unit is found in most of the stable structures,in which a central atom followed by four oxygen *** small size,the lowest energy structures maintain high symmetry,but structural symmetry are destroyed at large cluster *** MO clusters,the cage structures are the most stable,which consist of （MO） and（MO） *** contrast to the MO clusters,the MO clusters tend to have cage structures linked to quadrihedron *** relative stability for clusters are compared by the second order finite difference parameter.
Transportation facility or automotive service enterprise location is an interesting and important *** improve transportation efficient,lots of researchers have addressed traditional facility location allocation(FLA) p...
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ISBN:
(纸本)9781510823808
Transportation facility or automotive service enterprise location is an interesting and important *** improve transportation efficient,lots of researchers have addressed traditional facility location allocation(FLA) problem,e.g.,the FLA problem with the minimum transportation cost or the maximum obtained *** work aims to optimize obsolete vehicle location with the minimum transportation ***,the return center location on obsolete vehicle is influenced by regional ***,the regional constraint should be considered as factors influencing the FLA *** handle this issue via a more practical method,this work proposes an economic optimal model with region constraints for an automotive service *** is,by taking the vehicle return center as a typical automotive service enterprise and an example,this work presents its new economic optimal models considering region and non-region *** artificial fish swarm algorithm is proposed to solve the proposed *** numerical examples are given to illustrate the proposed models and testify the effectiveness of the algorithm.
Effective control laws for mechanical systems are best designed by professionals who understand both the basic mechanics of the system under consideration and the control methodology being used to design the cont...
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ISBN:
(数字)9781600862076
ISBN:
(纸本)9781563470547
Effective control laws for mechanical systems are best designed by professionals who understand both the basic mechanics of the system under consideration and the control methodology being used to design the control law. This textbook blends two traditional disciplines: engineering mechanics and control engineering. Beginning with theory, the authors proceed through computation to laboratory experiment and present actual case studies to illustrate practical aerospace applications. Intended for first-year graduate students in engineering and applied science, this book will help structural dynamists and control engineers gain broad competence in mechanics and control. A solutions manual is available for professors.
The use of fractional-order to describe an actual system can better reveal its essential characteristics and its *** description and analysis of an irrational fractional-order system are more complicated than that of ...
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ISBN:
(纸本)9781665478977
The use of fractional-order to describe an actual system can better reveal its essential characteristics and its *** description and analysis of an irrational fractional-order system are more complicated than that of a rational fractional-order *** solve this difficulty,this paper studies its system identification and controller design for the characteristics of such ***,based on the frequency domain response data of these systems,combined with the optimization algorithm to realize the rationalization of them,the curves fitting are used to illustrate the correctness and effectiveness of the identification ***,based on the identified rational models,the optimum controllers are *** response comparison shows that the performance of fractional-order controllers is superior to that of traditional integer-order ***,through the block diagram implementation,the effectiveness and correctness of the fractional-order controller design are explained.
Recently the development of optimization algorithm is rapidly increased. Among several optimization algorithms, Harmony Search(HS) has been recently proposed for solving engineering optimization problems. The HS has s...
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Recently the development of optimization algorithm is rapidly increased. Among several optimization algorithms, Harmony Search(HS) has been recently proposed for solving engineering optimization problems. The HS has some weaknesses such as parameters selection and falling in local optima. Many variants proposed to solve these problems. This paper presents successful hybrid algorithms with high performance to solve the pressure vessel design simulation. The hybrid algorithms consist of wellknown variants of HS and an opposition-based learning technique. The hybrid algorithm improved the HS exploration and avoiding falling in local optima, which lead the algorithm to provide significant results.
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