By Zenon Waszczyszyn

ISBN-10: 3211997679

ISBN-13: 9783211997673

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In evolutionary algorithms the floating-point representation is applied, which means that genes included in chromosomes are real numbers. Usually, the variation of the gene value is limited. Figure 1. A flowchart of an evolutionary algorithm A single-chromosome individual (called a chromosome) chi, i=1,2,…,N, where N is the population size, may be presented by means of a column or a row matrix, whose elements are represented by genes gij, j=1,2,…,n, n-the number of genes in a chromosome. The sample chromosome is presented in Figure 2.

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The Large Clear Span component enables the user to search for solutions with as large a span as is feasible, within the constraints of the design. Often clients prefer buildings with as much column-free space as possible because of the greater flexibility of such configurations. When the user opts for the Minimum Cost being significant, the system doesn’t actually optimise on real costs but features which are cost significant, these being:  Total weight per floor area (kg/m2)(Including steel, slab, deck, reinforcement, services)  Overall building height (m)  Net/gross floor area ratio The aim is to minimise the first two factors and maximise the third.

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Advances of Soft Computing in Engineering by Zenon Waszczyszyn

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