Abstract
The critical factor of safety and the corresponding slip circle of an earthen slope can be determined by using an optimization technique. This chapter evaluates the efficiency of genetic algorithms in locating critical slip circle of a homogeneous earthen slope. Genetic algorithm, a global search technique, is highly efficient in finding the global optimal solution of a problem, having highly irregular response surface. The evaluation of results shows that genetic algorithm is very robust in locating critical slip circle. On the other hand, the gradient-based classical optimization method is highly sensitive to the initial solution supplied to the problem. This implies that there are multiple local optimal solutions of the problem. As a result, the classical optimization techniques many times trap at local optimal solutions.
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Bhattacharjya, R.K. (2020). Efficiency of Binary Coded Genetic Algorithm in Stability Analysis of an Earthen Slope. In: Bennis, F., Bhattacharjya, R. (eds) Nature-Inspired Methods for Metaheuristics Optimization. Modeling and Optimization in Science and Technologies, vol 16. Springer, Cham. https://doi.org/10.1007/978-3-030-26458-1_18
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DOI: https://doi.org/10.1007/978-3-030-26458-1_18
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