2022
DOI: 10.3390/geotechnics2010005
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Recent Tendencies in the Use of Optimization Techniques in Geotechnics: A Review

Abstract: The use of optimization methods in geotechnics dates back to the 1950s. They were used in slope stability analysis (Bishop) and evolved to a wide range of applications in ground engineering. We present here a non-exhaustive review of recent publications that relate to the use of different optimization techniques in geotechnical engineering. Metaheuristic methods are present in almost all the problems in geotechnics that deal with optimization. In a number of cases, they are used as single techniques, in others… Show more

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Cited by 5 publications
(3 citation statements)
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“…It has been demonstrated that most of the techniques used are based on metaheuristic methods, but the Genetic Algorithm GA and the Particle Swarm Optimization PSO (optimization by surface modification) have been widely used compared to other methods and appear to effectively treat the non-linearities encountered in many geotechnical problems [20]. Therefore, the application of the genetic algorithm is highly recommended (Table 1).…”
Section: Application Of the Genetic Algorithmmentioning
confidence: 99%
See 1 more Smart Citation
“…It has been demonstrated that most of the techniques used are based on metaheuristic methods, but the Genetic Algorithm GA and the Particle Swarm Optimization PSO (optimization by surface modification) have been widely used compared to other methods and appear to effectively treat the non-linearities encountered in many geotechnical problems [20]. Therefore, the application of the genetic algorithm is highly recommended (Table 1).…”
Section: Application Of the Genetic Algorithmmentioning
confidence: 99%
“…Boumezrane carried on, optimization according to different deterministic and stochastic optimization schemes by a selection on a mathematical basis, of the objects best suited with respect to defined criteria, by choosing values or input functions within a certain range of parameters. It can be mono-objective (a single function) or multi-objective (several objective functions), sometimes even contradictory (Pareto optimization) [20]. Even though the weight and the cost of the task do not have opposing goals, the cost of the work increases as its weight increases.…”
Section: Introductionmentioning
confidence: 99%
“…The method proposed in this article is inspired by the optimization techniques of soil treatment [83][84][85][86][87]. The main idea is to factorise the parameters that affect soil properties into sub-classes having linear and non-linear distribution of data over time for various soil samples.…”
Section: Introductionmentioning
confidence: 99%