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Second International Conference On Genetic Algorithms In Engineering Systems: Innovations And Applications

2-4 Sept. 1997

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Displaying Results 1 - 25 of 90
  • Proceedings of Genetic Algorithms in Engineering Systems

    Publication Year: 1997
    IEEE is not the copyright holder of this material | PDF file iconPDF (599 KB)
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  • List of Authors

    Publication Year: 1997, Page(s):xvii - xviii
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  • Optimising object recognition parameters using a parallel multiobjective genetic algorithm

    Publication Year: 1997, Page(s):1 - 6
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (584 KB)

    This paper describes application of a multiobjective genetic algorithm (MOGA) to optimise the selection of parameters for an object recognition scheme. The MOGA applied uses Pareto-ranking as a means of comparing individuals over multiple objectives. In order to prevent premature convergence heuristics were added to the algorithm to encourage speciation. The population consisted of sub-populations... View full abstract»

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  • Evolutionary computing for multidisciplinary optimisation

    Publication Year: 1997, Page(s):7 - 12
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (776 KB)

    Multidisciplinary optimisation (MDO) is needed for increasingly complex design problems where system performance characteristics are influenced by more than one discipline, such as the design of an aeroplane. Traditionally, MDO problems were tackled using approximation and decomposition techniques to split a problem into simpler blocks using simple models to give a general picture. These technique... View full abstract»

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  • Multi-objective optimisation of distributed active magnetic bearing controllers

    Publication Year: 1997, Page(s):13 - 18
    Cited by:  Papers (5)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (682 KB)

    A nonlinear model of a Rolls-Royce turbo machine supported by active magnetic bearings (AMBs) is presented. A multiobjective genetic algorithm (MOGA) is used as a search and optimisation tool for designing distributed AMB controllers. The MOGA is used to select the controller structure as well as its parameters. The objective domain is comprised of measures of the controllers' dynamic performance ... View full abstract»

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  • Assessing the convergence of rank-based multiobjective genetic algorithms

    Publication Year: 1997, Page(s):19 - 23
    Cited by:  Papers (5)  |  Patents (11)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (489 KB)

    Many problems in engineering and related areas require the simultaneous optimisation of multiple objectives and to this end, rank-based genetic algorithms have proved very successful. The key issue of convergence of vector optimisations, however, has not hitherto been explicitly addressed. In this paper we introduce rank histograms both to assess convergence of a given single genetic optimisation ... View full abstract»

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  • Cascade airfoil design by multiobjective genetic algorithms

    Publication Year: 1997, Page(s):24 - 29
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (494 KB)

    Multiobjective genetic algorithm based on Fonseca-Fleming's Pareto-based ranking and fitness sharing techniques has been applied to aerodynamic shape optimization of cascade airfoil design. Airfoil performance is evaluated by a Navier-Stokes code. Evaluation of GA population is parallelized on numerical wind tunnel - a parallel vector machine. The present multiobjective design seeks high pressure ... View full abstract»

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  • A genetic algorithm based fuzzy logic controller for nonlinear systems

    Publication Year: 1997, Page(s):30 - 36
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (569 KB)

    There have been many attempts to design intelligent tracking controllers for nonlinear control applications, such as dynamic fatigue test rigs, industrial robots and flight simulators. An evolutionary, genetic algorithm based tuneable fuzzy logic controller has been designed for such dynamic servomechanisms. Results obtained prove the scheme successful and it yields a robust controller, as well as... View full abstract»

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  • Parameter optimisation of a nonlinear tanker control system using genetic algorithms

    Publication Year: 1997, Page(s):37 - 42
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (592 KB)

    The optimisation of a nonlinear control problem by genetic algorithm (GA) is studied in this paper. It involves the performance of a fully autonomous control system for regulating the course keeping manoeuvres of an oil tanker. This control system consists of an autopilot and a sliding mode controller (SMC). The GA is used to optimise the performance of the complete system by optimising the parame... View full abstract»

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  • PI controller tuning for multivariable processes using genetic algorithms

    Publication Year: 1997, Page(s):43 - 49
    Cited by:  Papers (3)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (771 KB)

    The paper presents an auto tuning method for the design of multi loop PI controllers, based on genetic algorithms. The powerful capabilities of genetic algorithms in locating the optimal (or near optimal) solution to a given optimisation problem are exploited by optimising the parameters of the PI controllers over specified performance objectives. Conventional tuning rules such as those proposed b... View full abstract»

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  • Automatic weight selection for H/sub /spl infin// control design

    Publication Year: 1997, Page(s):50 - 55
    Cited by:  Papers (2)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (592 KB)

    The paper is concerned with the development of a procedure to calculate the parameters of the weighting functions used in H/sub /spl infin// controller designs in order to achieve a desired system performance. A genetic algorithm is employed to search for suitable solutions. To cope with the imprecision and vagueness that arises in the description of objective functions and problem constraints, co... View full abstract»

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  • Power system output feedback stabilizer design via genetic algorithms

    Publication Year: 1997, Page(s):56 - 62
    Cited by:  Papers (5)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (611 KB)

    The paper demonstrates the use of genetic algorithms to design output feedback power system stabilizers. Two methods are presented: in the first method, the problem is formulated as an optimization problem with a standard infinite time quadratic objective function. A digital simulation of the power system is then used in conjunction with the genetic algorithm to determine the output feedback gains... View full abstract»

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  • Traffic signal timing determination: the Cabal model

    Publication Year: 1997, Page(s):63 - 68
    Cited by:  Papers (3)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (685 KB)

    Cabal uses a genetic algorithm to optimise traffic signals. The aim in this early version of Cabal is to determine effective timing plans for an isolated intersection using realworld flow data matrices. Initial objectives are minimisation of delays, stops and queue lengths using fixed factor weights. Cabal optimises a cyclic signal control scheme made up of a set sequence of stages. Results of tes... View full abstract»

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  • A distributed genetic algorithm environment for UNIX workstation clusters

    Publication Year: 1997, Page(s):69 - 74
    Cited by:  Papers (4)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (544 KB)

    This paper describes the development of the CNIX multiprocessor environment, that is specifically designed for the efficient execution of distributed genetic algorithms on clusters of UNIX work stations. CNIX is based around the TCP/IP client-server model and consists of two sets of 'C++' libraries functions. The CNIX libraries provide a standard 'C++' compiler with the necessary code to establish... View full abstract»

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  • An improved Wiener filter using genetic algorithm

    Publication Year: 1997, Page(s):75 - 78
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (405 KB)

    In this paper, an optimization technique using the Genetic Algorithm has been proposed to find the optimal value of the ratio /spl Gamma/, which is a priori knowledge of the signal-to-noise ratio, in the Wiener filter to image restoration. The proposed method is suitable and effective for control experiments in conjunction with any image-quality-assessment measure in order to obtain the optimal /s... View full abstract»

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  • A population minimisation process for genetic algorithms and its application to controller optimisation

    Publication Year: 1997, Page(s):79 - 84
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (575 KB)

    This paper suggests a process which helps reduce the execution time for genetic algorithms by removing the redundancy associated with the saturation effect found in the later generations. The process considered minimises the population size as similar individuals occur in the fitter members of the population. As the population size reduces the number of crossover operations decreases and the appar... View full abstract»

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  • Convergence analysis of adaptive genetic algorithms

    Publication Year: 1997, Page(s):85 - 89
    Cited by:  Papers (3)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (437 KB)

    Crossover and mutation play an important role in genetic search and adaptive crossover and mutation operators have been employed to improve performance of genetic algorithms (GAs). In this paper, a nonstationary Markov model is developed to investigate asymptotic convergence properties of the adaptive genetic algorithms (AGAs). It is shown that in many cases, AGAs would asymptotically converge. Bu... View full abstract»

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  • Pareto-optimal firing angles for switched reluctance motor control

    Publication Year: 1997, Page(s):90 - 96
    Cited by:  Papers (11)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (743 KB)

    Research into integrated control of the severely nonlinear switched reluctance motor is in its infancy. This paper reports an application of genetic algorithms to this area, aiming at providing motor and drive engineers with a helpful method and data for commissioning. Using the genetic algorithm method, optimal firing angles are obtained for maximal torque control under multiple operating conditi... View full abstract»

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  • A new hillclimber for classifier systems

    Publication Year: 1997, Page(s):97 - 102
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (550 KB)

    Multistate artificial environments such as mazes represent a class of tasks that can be solved by many different multistep methods. When different rewards are available in different places of the maze, a problem solver is required to evaluate different positions effectively and remembers the best one. A new hillclimbing strategy for the Michigan style classifier system is suggested which is able t... View full abstract»

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  • Automatic synthesis of active electronic networks using genetic algorithms

    Publication Year: 1997, Page(s):103 - 107
    Cited by:  Papers (3)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (358 KB)

    Analogue electronic networks can be synthesised by genetic optimisation. Active linear networks containing a single operational amplifier have been generated to meet both frequency-domain and time-domain specifications. In spite of the fact that no expert rules are built into the synthesis program, the networks generated are practical and effective. View full abstract»

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  • Soft computing techniques on automatic synthesis of greenhouse climate controllers

    Publication Year: 1997, Page(s):108 - 112
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (451 KB)

    The methodology proposed in the paper deals with the use of artificial intelligence techniques in the modelling and control of some climate variables within a greenhouse. The nonlinear physical phenomena governing the dynamics of temperature and humidity on such systems are, in fact, difficult to be modelled and controlled using traditional techniques. The paper proposes a framework for the develo... View full abstract»

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  • The use of a biased heuristic by a genetic algorithm applied to the design of multipoint connections in a local access network

    Publication Year: 1997, Page(s):113 - 116
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (375 KB)

    This paper presents a genetic algorithm for finding a constrained minimum spanning tree. The problem is of relevance in the design of minimum cost communication networks, where there is a need to connect all the terminals at a user site to a terminal concentrator in a multipoint (tree) configuration, while ensuring that link capacity constraints are not violated. The approach used maintains a dist... View full abstract»

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  • Optimal reactive power dispatch using an adaptive genetic algorithm

    Publication Year: 1997, Page(s):117 - 122
    Cited by:  Papers (3)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (507 KB)

    This paper presents an adaptive genetic algorithm (AGA) for optimal reactive power dispatch and voltage control of power systems. In the adaptive genetic algorithm, the probabilities of crossover and mutation, p/sub c/ and p/sub m/, are varied depending on the fitness values of the solutions and the normalised fitness distances between the solutions in the evolution process to prevent premature co... View full abstract»

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  • Parallel genetic algorithms for optimised fuzzy modelling with application to a fermentation process

    Publication Year: 1997, Page(s):123 - 128
    Cited by:  Papers (3)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (619 KB)

    This paper reports the construction and application of an evolution program to a computational intelligence system used as a software 'sensor' in state-estimation and prediction of biomass concentration in a fermentation process. A fuzzy logic system (FLS) is used as a computational engine to 'infer' the production of biomass from variables easily measured on-line. For this purpose, genetic algori... View full abstract»

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  • Dynamic local search

    Publication Year: 1997, Page(s):129 - 132
    Cited by:  Papers (12)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (313 KB)

    A novel technique for empirical optimisation is presented, called dynamic local search algorithm (DLS). The search algorithm starts exploring the solution space only along one of its dimensions at any one time. This is done by perturbing this variable randomly along opposite directions of that dimension, creating two more variables. The magnitude of the perturbation is designed to explore Local an... View full abstract»

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