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  • Engineering  (1)
  • Key words. Genetic algorithm; Heuristics; Optimisation; Truss design  (1)
  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Engineering with computers 15 (1999), S. 345-355 
    ISSN: 1435-5663
    Keywords: Key words. Genetic algorithm; Heuristics; Optimisation; Truss design
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics , Technology
    Notes: Abstract. A heuristic method of seeding the initial population of a Genetic Algorithm (GA) is described, which enables better solutions to discrete truss optimisation problems to be found within a shorter time period, and with a negligible increase in computational effort (compared with the simple GA). The seeding method is entirely automatic, and makes use of the problem-specific routines used to calculate fitness, already present within the GA. The GA models natural, biological evolution as a means of producing a ‘good’ solution to a problem. The GA described here is implemented in various versions. The differences between each version are in the selection procedure and/or the generation of the initial population. To compare the effectiveness of each strategy the GA variants are applied to four example problems.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Chichester [u.a.] : Wiley-Blackwell
    International Journal for Numerical Methods in Engineering 34 (1992), S. 117-164 
    ISSN: 0029-5981
    Keywords: Engineering ; Engineering General
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Mathematics , Technology
    Notes: In Parts I to V of the present work, the formulation and finite element implementation of a non-linear stress resultant shell model are considered in detail. This paper is concerned with the extension of these results to incorporate completely general non-linear dynamic response. Of special interest here is the dynamics of very flexible shells undergoing large overall motion which conserves the total linear and angular momentum and, for the Hamiltonian case, the total energy. A main goal of this paper is the design of non-linear time-stepping algorithms, and the construction of finite element interpolations, which preserve exactly these fundamental constants of motion. It is shown that only a very special class of algorithms, namely a formulation of the mid-point rule in conservation form, exactly preserves the total linear and angular momentum. For the Hamiltonian case, a somewhat surprising result is proved: regardless of the degree of non-linearity in the stored-energy function, a generalized mid-point rule algorithm always exists which exactly conserves energy The conservation properties of a time-stepping algorithm need not, and in general will not, be preserved by the spatial discretization. Precise conditions which ensure preservation of these conservation properties are derived. A number of numerical simulations are presented which illustrate the exact conservation properties of the proposed methodology.
    Additional Material: 22 Ill.
    Type of Medium: Electronic Resource
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