A platform for research: civil engineering, architecture and urbanism
SEARCH FOR CRITICAL SLIP CIRCLE USING GENETIC ALGORITHMS
In using traditional nonlinear optimization techniques for determining the critical slip surface in slope-stability analysis there is generally some uncertainty as to robustness of the algorithms to locate the global minimum factor of safety rather than the local minimum factor of safety for complicated and non-homogeneous geological subsoil conditions. This paper describes the incorporation of a genetic algorithm methodology which is becoming increasingly popular in engineering optimization problems as it has been shown in a wide variety of problems to be suitably robust for the search not to become trapped in local optima. First, the general principles of genetic algorithms are described. The genetic algorithm procedure used to locate the critical circular slip surface is then described. The five examples presented indicate that the search strategy was suf ficiently robust and efficient to handle multi-layered soils.
SEARCH FOR CRITICAL SLIP CIRCLE USING GENETIC ALGORITHMS
In using traditional nonlinear optimization techniques for determining the critical slip surface in slope-stability analysis there is generally some uncertainty as to robustness of the algorithms to locate the global minimum factor of safety rather than the local minimum factor of safety for complicated and non-homogeneous geological subsoil conditions. This paper describes the incorporation of a genetic algorithm methodology which is becoming increasingly popular in engineering optimization problems as it has been shown in a wide variety of problems to be suitably robust for the search not to become trapped in local optima. First, the general principles of genetic algorithms are described. The genetic algorithm procedure used to locate the critical circular slip surface is then described. The five examples presented indicate that the search strategy was suf ficiently robust and efficient to handle multi-layered soils.
SEARCH FOR CRITICAL SLIP CIRCLE USING GENETIC ALGORITHMS
Goh, Anthony T. C. (author)
Civil Engineering and Environmental Systems ; 17 ; 181-211
2000-07-01
31 pages
Article (Journal)
Electronic Resource
English
Search for Critical Slip Circle using Genetic Algorithms
Online Contents | 2000
|Search for Critical Slip Circle using Genetic Algorithms
British Library Online Contents | 2000
|Speeding up slip circle analysis
British Library Online Contents | 1998
Genetic algorithm search for critical slip surface in multiple-wedge stability analysis
British Library Online Contents | 1999
|Double mutation genetic algorithm and its application to the critical slip surface search
DOAJ | 2021
|