Optimum design of shallow foundation using evolutionary algorithms

Kashani, Ali R.; Gandomi, Mostafa; Camp, Charles V.; Gandomi, Amir H.

doi:10.1007/s00500-019-04316-5

Cited by 28 publications

(14 citation statements)

References 64 publications

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“…The settlements were reduced up to 29% with the alternative topology of the vertically loaded Evolutionary algorithms such as differential algorithm (DE), evolution strategy (ES) and biogeography-based optimization algorithm (BBO) are increasingly used in geotechnical engineering. Kashani et al [13] used these types of algorithm in foundation design optimization. The cost of shallow foundation designs that satisfy ACI 318-05 requirements is formulated as the objective function.…”

Section: Optimization Methods For Foundationsmentioning

confidence: 99%

Recent Tendencies in the Use of Optimization Techniques in Geotechnics: A Review

Boumezerane

2022

Geotechnics

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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 in combination with other approaches, and in a number of situations as hybrids. Different results are discussed showing the advantages and issues of the techniques used. Computational time is one of the issues, as well as the assumptions those methods are based on. The article can be read as an update regarding the recent tendencies in the use of optimization techniques in geotechnics.

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Section: Optimization Methods For Foundationsmentioning

confidence: 99%

Recent Tendencies in the Use of Optimization Techniques in Geotechnics: A Review

Boumezerane

2022

Geotechnics

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“…In recent years, the exploration of biogeography has been drawing great attention [27]- [32]. BBO was first proposed by Simon [33].…”

Section: B Proposed Automatic Eses Quantification Scheme Using Biogeo...mentioning

confidence: 99%

A Hybrid Expert System for Individualized Quantification of Electrical Status Epilepticus During Sleep Using Biogeography-Based Optimization

Zhou

Xian

Wang

et al. 2022

IEEE Trans. Neural Syst. Rehabil. Eng.

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Electrical status epilepticus during sleep (ESES) is an epileptic encephalopathy in children with complex clinical manifestations. It is accompanied by specific electroencephalography (EEG) patterns of continuous spike and slow-waves. Quantifying such EEG patterns is critical to the diagnosis of ESES. While most of the existing automatic ESES quantification systems ignore the morphological variations of the signal as well as the individual variability among subjects. To address these issues, this paper presents a hybrid expert system that dedicates to mimicking the decision-making process of clinicians in ESES quantification by taking the morphological variations, individual variability, and medical knowledge into consideration. The proposed hybrid system not only offers a general scheme that could propel a semi-auto morphology analysis-based expert decision model to a fully automated ESES quantification with biogeography-based optimization (BBO), but also proposes a more precise individualized quantification system to involve the personalized characteristics by adopting an individualized parameters-selection framework. The feasibility and reliability of the proposed method are evaluated on a clinical dataset collected from twenty subjects at Children'

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“…24 Optimal design of geotechnical structures such as shallow foundations, pile foundations, retaining structures, and so forth, are among the most significant design tasks in geotechnical engineering. For example, Khajehzadeh et al 25 found the optimum design of shallow foundations using the gravitational search algorithm, Camp and Assadollahi 26 utilized a hybrid big bang-big crunch algorithm for shallow footing optimization, Gandomi and Kashani 27 and Kashani et al 28 explored the efficiency of numbers of swarm intelligence-based algorithms and evolutionary algorithms for optimum cost design of shallow foundations, respectively.…”

Section: Introductionmentioning

confidence: 99%

Multi‐objective optimization of mechanically stabilized earth retaining wall using evolutionary algorithms

Kashani

Camp

Azizi

et al. 2022

Num Anal Meth Geomechanics

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This paper uses evolutionary optimization algorithms to study the multi‐objective optimization of mechanically stabilized earth (MSE) retaining walls. Five multi‐objective optimization algorithms, including the non‐dominated sorting genetic algorithm II (NSGA‐II), strength Pareto evolutionary algorithm II (SPEA‐II), multi‐objective particle swarm optimization (MOPSO), multi‐objective multi‐verse optimization (MVO), and Pareto envelope‐based selection algorithm II (PESA‐II), are applied to the design procedure. MSE wall design requires two major requirements: external stability and internal stability. In this study, the optimality criterion is to minimize cost and its trade‐off with the factor of safety (FOS). To this end, two objectives are defined: (1) minimum cost, (2) maximum FOS. Three different strategies are considered for reinforcement combinations in the numerical simulations. Moreover, a sensitivity analysis was conducted on the variation of significant parameters, including backfill slope, wall height, horizontal earthquake coefficient, and surcharge load. The efficiency of the utilized algorithms was assessed through three well‐known coverage set measures, diversity, and hypervolume. These measures were further examined using basic statistical measures (i.e., min, max, standard deviation) and the Friedman test with a 95% confidence level.

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Optimum design of shallow foundation using evolutionary algorithms

Cited by 28 publications

References 64 publications

Recent Tendencies in the Use of Optimization Techniques in Geotechnics: A Review

Recent Tendencies in the Use of Optimization Techniques in Geotechnics: A Review

A Hybrid Expert System for Individualized Quantification of Electrical Status Epilepticus During Sleep Using Biogeography-Based Optimization

Multi‐objective optimization of mechanically stabilized earth retaining wall using evolutionary algorithms

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