A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Heuristically seeded genetic algorithms applied to truss optimisation
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.
Heuristically seeded genetic algorithms applied to truss optimisation
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.
Heuristically seeded genetic algorithms applied to truss optimisation
Ponterosso, P. (author) / Fox, D.S.J. (author)
Engineering with Computers ; 15 ; 345-355
1999
11 Seiten, 17 Quellen
Article (Journal)
English
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