Adaptive Sine Cosine Algorithm Integrated with Differential Evolution for Structural Damage Detection

Bureerat, Sujin; Pholdee, Nantiwat

doi:10.1007/978-3-319-62392-4_6

Cited by 30 publications

(25 citation statements)

References 36 publications

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“…Otherwise, the mean number of FEs and the number of successful runs out of 5 runs are used to measure the search convergence and consistency. The algorithm that is terminated by the objective function threshold is obviously superior and any run being stopped with this criterion is considered a successful run …”

Section: Resultsmentioning

confidence: 99%

“…The adaptive SCA with integration of DE mutation was proposed by Bureerat and Pholdee . In the algorithm, the DE mutation operator as used in Pholdee and Bureerat is integrated into the updating operation.…”

Section: Asca‐de and The Proposed Asca‐de‐ps Techniquementioning

confidence: 99%

“…The successful update means the created offspring is better than its parent from the previous iteration. In addition, for each calculation, the scaling factor F is generated by Cauchy distribution randomization with the mean value F m and SD value of 0.1 . The F m is iteratively adapted using the Lehmer mean defined as shown in the following Equation (10).…”

Section: Asca‐de and The Proposed Asca‐de‐ps Techniquementioning

confidence: 99%

“…SCA (Algorithm 1) ASCA‐DE, Algorithm 2 SCA‐ps (Algorithm 3) which replaces the ASCA‐DE in step 2 and step 4 by SCA. ASCA‐DE‐ps (Algorithm 3). …”

Section: Performance Assessmentmentioning

confidence: 99%

“…Update the kth element of the lth population (x l ) using Equation (5) The adaptive SCA with integration of DE mutation was proposed by Bureerat and Pholdee. 27 In the algorithm, the DE mutation operator as used in Pholdee and Bureerat 32 is integrated into the updating operation. The mutation equation is detailed as shown in Equation (7).…”

Section: Input: Population Size (N P ) Number Of Generations (T Max mentioning

confidence: 99%

See 4 more Smart Citations

A novel hybridized metaheuristic technique in enhancing the diagnosis of cross‐sectional dent damaged offshore platform members

Punurai

Azad

Pholdee

et al. 2019

Computational Intelligence

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Offshore jacket platforms are widely used for oil and gas extraction as well as transportation in shallow to moderate water depth. Tubular cross‐sectional elements are used to construct offshore platforms. Tubular cross sections impart higher resistance against hydrodynamic forces and have high torsional rigidity. During operation, the members can be partially or fully damaged due to lateral impacts. The lateral impacts can be due to ship collisions or through the impact of falling objects. The impact forces can weaken some members that influence the overall performance of the platform. This demonstrates an urgent need to develop a framework that can accurately forecast dent depth as well as dent angle of the affected members. This study investigates the use of an adaptive metaheuristics algorithm to provide automatic detection of denting damage in an offshore structure. The damage information includes dent depth and the dent angle. A model is developed in combination with the percentage of the dent depth of the damaged member and is used to assess the performance of the method. It demonstrates that small changes in stiffness of individual damaged bracing members are detectable from measurements of global structural motion.

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Section: Resultsmentioning

confidence: 99%

Section: Asca‐de and The Proposed Asca‐de‐ps Techniquementioning

confidence: 99%

Section: Asca‐de and The Proposed Asca‐de‐ps Techniquementioning

confidence: 99%

“…SCA (Algorithm 1) ASCA‐DE, Algorithm 2 SCA‐ps (Algorithm 3) which replaces the ASCA‐DE in step 2 and step 4 by SCA. ASCA‐DE‐ps (Algorithm 3). …”

Section: Performance Assessmentmentioning

confidence: 99%

Section: Input: Population Size (N P ) Number Of Generations (T Max mentioning

confidence: 99%

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A novel hybridized metaheuristic technique in enhancing the diagnosis of cross‐sectional dent damaged offshore platform members

Punurai

Azad

Pholdee

et al. 2019

Computational Intelligence

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Multiverse optimizer for structural damage detection: Numerical study and experimental validation

Ghannadi

Kourehli

2020

Structural Design Tall Build

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New optimization algorithms have been increasingly developed in the course of the recent years. The accuracy of identified results in optimization-based damage detection methods depends on the objective function and optimization algorithm. This paper employs multiverse Optimizer (MVO) to solve the optimization-based damage identification problem. Statistical results obtained by MVO are compared with those of sine cosine algorithm (SCA) and Harris hawks optimization (HHO) in order to perform a comparative study. Two objective functions are used in this optimization problem. The first one is based on the modal assurance criterion (MAC) and the second one on modified total modal assurance criterion (MTMAC). Numerical and experimental examples indicate that the combination of objective function based on MTMAC and MVO algorithm can provide accurate and reliable results in structural damage detection process. MAC is also rejected in competition with MTMAC. While using SCA-MTMAC, the accuracy of the results is acceptable in some cases. However, HHO-MTMAC gives weak results in most cases. MVO and SSA are the lowest, and HHO spends significantly more time in terms of computational cost.

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Power Distribution Network Reconfiguration Using an Improved Sine–Cosine Algorithm-Based Meta-Heuristic Search

Raut

Mishra

2018

Advances in Intelligent Systems and Computing

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Adaptive Sine Cosine Algorithm Integrated with Differential Evolution for Structural Damage Detection

Cited by 30 publications

References 36 publications

A novel hybridized metaheuristic technique in enhancing the diagnosis of cross‐sectional dent damaged offshore platform members

A novel hybridized metaheuristic technique in enhancing the diagnosis of cross‐sectional dent damaged offshore platform members

Multiverse optimizer for structural damage detection: Numerical study and experimental validation

Power Distribution Network Reconfiguration Using an Improved Sine–Cosine Algorithm-Based Meta-Heuristic Search

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