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Genetic Algorithms in Engineering Systems: Innovations and Applications, 1997. GALESIA 97. Second International Conference On (Conf. Publ. No. 446)

Date 2-4 Sep 1997

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Displaying Results 1 - 25 of 90
  • A genetic algorithm to optimise signal phasing in area traffic control

    Publication Year: 1997, Page(s):404 - 408
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (304 KB)

    In this paper the use of a genetic algorithm to find a good assignment of signal control stages to links in the network (the link-stage assignment) for TRANSYT is described. In the genetic process, the partially matched crossover operator and exchange mutation operator are used to maintain the feasibility of the sequence of phases. A special conversion algorithm is devised to convert the phase seq... View full abstract»

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  • A novel genetic algorithm for recognition of object shapes with movable parts

    Publication Year: 1997, Page(s):478 - 485
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (496 KB)

    Computer vision techniques developed to date are effective in identifying images of rigid object shapes that are grabbed under different viewing positions. This is made possible by matching unknown object contours or their geometrical invariant descriptors against reference object models which had been previously stored in an image database. Despite the moderate success, little has been mentioned ... View full abstract»

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  • Towards more cost saving under stricter ramping rate constraints of dynamic economic dispatch problems-a genetic based approach

    Publication Year: 1997, Page(s):221 - 225
    Cited by:  Papers (3)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (388 KB)

    Due to the dynamic ramping rate constraint, the dynamic economic dispatch (DED) problem generates extra burden for the conventional deterministic techniques. These techniques run the high risk of false dispatches, where a cost optimal solution may violate the power limits and/or ramping rate constraint, and power redispatch becomes essential to force the solution to be inside the feasible region. ... View full abstract»

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  • Packet switched communication network designs using GA

    Publication Year: 1997, Page(s):398 - 403
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (476 KB)

    In general, the designs of mesh communication networks are complex, multiconstraint optimization problems. For a practical problem of a modest number of nodes, approximate solutions are obtained through heuristic methods. In this paper, we present a genetic algorithm (GA) solution method for the topological design of a packet switched communication network. The advantages of using GA are not only ... View full abstract»

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  • Solving the TSP problem with a new model in evolutionary computation

    Publication Year: 1997, Page(s):145 - 150
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (504 KB)

    We present an alternative model in the field of evolutionary computation. The presented model is, like other models in evolutionary computation, based on the principle of natural selection. The difference between the presented model and the other models is a difference in the interpretation of the principle of natural selection. Traditional models in evolutionary computation provide only a partial... View full abstract»

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  • A multi-species genetic algorithm applied to radar scattering centre identification in three-dimensions

    Publication Year: 1997, Page(s):472 - 477
    Cited by:  Papers (1)  |  Patents (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (464 KB)

    Realistic radar target models are required for use in a missile target simulation system. A multi species genetic algorithm is used to extract a radar cross section model from high resolution three dimensional radar target images by identifying the dominant scattering centres. A typical image may require in excess of 2 Gbytes of storage space. Data retrieval overheads on small systems render itera... View full abstract»

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  • A genetic algorithm for the high-level synthesis of DSP systems for low power

    Publication Year: 1997, Page(s):174 - 179
    Cited by:  Papers (2)  |  Patents (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (532 KB)

    This paper presents a genetic algorithm for the synthesis of VLSI low-power digital signal processing systems. The genetic algorithm operates on a high level signal flow graph of the system, which contains functional blocks such as adders, multipliers, etc. Evaluation of each design involves consideration of issues at different levels throughout the design hierarchy, such as functionality and sili... View full abstract»

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  • A new genetic algorithm approach for unit commitment

    Publication Year: 1997, Page(s):215 - 220
    Cited by:  Papers (6)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (528 KB)

    This paper presents a new genetic algorithm approach to solve the unit commitment problem in electric power systems. In the proposed algorithm, coding the solution of the unit commitment problem is based on mixing binary and decimal representations. A fitness function is constructed from the total operating cost of the generating units without penalty terms. Genetic operators are implemented to en... 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 (480 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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  • Constrained genetic operators preserving feasibility of solutions in genetic algorithms

    Publication Year: 1997, Page(s):191 - 196
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (588 KB)

    Most real-world optimisation problems consist of various nontrivial constraints that are difficult to handle in standard genetic algorithms (GAs). It prompted many researches to investigate this problem and many constraint handling methods have been proposed for GAs. Although these methods have successfully been used in a number of optimisation problems, they usually are computationally expensive ... 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 (488 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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  • Aircraft route optimization using genetic algorithms

    Publication Year: 1997, Page(s):394 - 397
    Cited by:  Papers (4)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (356 KB)

    In the course of TF/TA2 (Terrain Following/Terrain Avoidance/Threat Avoidance), it is necessary to do flight mission planning by which to obtain the optimal flight route based on the information of terrain feature, culture and threats in the mission area, so as to increase the aircraft's survivability in the flight mission. The paper uses genetic algorithms to optimize the flight route.... View full abstract»

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  • An evolutionary paradigm for designing fuzzy rule-based systems from examples

    Publication Year: 1997, Page(s):139 - 144
    Cited by:  Papers (2)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (720 KB)

    The main aim of this paper is to present a methodology for designing fuzzy rule-based systems from examples based on evolutionary algorithms. This methodology consists of some design guidelines that allow us to obtain different genetic fuzzy rule-based systems, i.e., evolutionary algorithm-based processes to design fuzzy rule-based systems by learning and/or tuning the knowledge base, following th... View full abstract»

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  • Applying GAs to complex problems: the case of scheduling multi-stage intermittent manufacturing systems

    Publication Year: 1997, Page(s):467 - 471
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (464 KB)

    Although genetic algorithms (GAs) have been successfully applied to a wide range of conventional scheduling problems, their application to more complex scheduling environments has been minimal. For a GA to succeed, it is usually necessary to evaluate a large number of individual solutions: which in the contest of scheduling means generating and evaluating a large number of individual schedules. Fo... View full abstract»

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  • Design of low complexity FIR filters using genetic algorithms and directed graphs

    Publication Year: 1997, Page(s):168 - 173
    Cited by:  Papers (4)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (544 KB)

    This paper examines the use of Genetic Algorithms (GAs) to design low complexity, primitive operator, digital FIR filters. Most previous design methods have involved a two stage approach of either optimizing the performance for a given filter structure, or optimizing the architecture for a given filter. In this paper we present a joint optimization of both structure and performance which can yield... View full abstract»

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  • The circular schema theorem for genetic algorithms and two-point crossover

    Publication Year: 1997, Page(s):209 - 214
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (408 KB)

    The schema theorem is the classical formulation of the search strategy performed by genetic algorithms (adaptation procedures mimicking biological evolution and molecular genetics). The original schema theorem has been derived for single-point crossover assuming that the individual chromosomes are arranged as strings. This paper presents the novel circular schema theorem for the two-point crossove... 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 (7)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (648 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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  • 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 (416 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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  • Evolutionary versus inductive construction of neurofuzzy systems for bioprocess modelling

    Publication Year: 1997, Page(s):320 - 325
    Cited by:  Papers (4)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (572 KB)

    The control and optimization of biotechnological processes is a complex task of industrial relevance, due to the growing importance attached to biotechnology. Therefore, there is an increasing use of intelligent data analysis methods for the development and optimization of bioprocess modelling and control. Since a clear understanding of the underlying physics does not exist, nonlinear learning sys... View full abstract»

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  • Optimal triangulation by means of evolutionary algorithms

    Publication Year: 1997, Page(s):492 - 497
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (752 KB)

    The comparison in the paper shows that the evolutionary algorithm (EA) triangulation is superior to traditional deterministic algorithms, and that the EA is at least an alternative to simulated annealing (SA). Although SA produces results of the same quality in shorter time, the EA may be preferable for large problem instances due to the existence of efficient parallel implementations. From a more... View full abstract»

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  • Permutation flowshop scheduling by genetic local search

    Publication Year: 1997, Page(s):232 - 238
    Cited by:  Papers (5)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (612 KB)

    In this paper, the landscape for the permutation flowshop scheduling problem (PFSP) with stochastic local search and a critical block-based neighbourhood structure has been investigated. Numerical experiments using small benchmark problems show that there are good correlations between the makespans of local optima, the average distances to other local optima and the distances to the known global o... View full abstract»

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  • Vibration data compression with optimal wavelet coefficients

    Publication Year: 1997, Page(s):186 - 190
    Cited by:  Papers (2)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (384 KB)

    The paper presents an application of data compression in vibration analysis. A linear transformation procedure based on the wavelet transform is used for feature selection in the data. A simple genetic algorithm is employed to extract wavelet coefficients which represents these features in the time-scale domain. The method is applied to the compression of gearbox vibration spectra showing a potent... 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 (308 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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  • List of Authors

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

    First Page of the Article
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  • Application of genetic algorithms to transmission planning

    Publication Year: 1997, Page(s):388 - 393
    Cited by:  Papers (3)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (468 KB)

    A new transmission planning methodology using genetic algorithms (GAs) is proposed. This identifies the optimal transmission network over an extended time horizon based on the expected pattern of electricity demand and generation sources. A computer code has been developed and tested on a simplified UK Network model with 23 nodes and 49 possible wayleaves. Simulation tests have been subdivided int... View full abstract»

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