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Cited by 26 publications
(17 citation statements)
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“…The archive is created and updated using the nondominated sorting technique to classify solutions to the archive. The nondominated sorting is operated based on simultaneously minimising the original objective function ( f ( x )) and the diversity objective function ( f D ( x )) [ 29 ]. The diversity function values are calculated based on a combination of the population in the current iteration and the populations from a few previous iterations.…”
Section: Self-adaptive Teaching-learning Based Optimization With An Acceptance Probabilitymentioning
confidence: 99%
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“…The archive is created and updated using the nondominated sorting technique to classify solutions to the archive. The nondominated sorting is operated based on simultaneously minimising the original objective function ( f ( x )) and the diversity objective function ( f D ( x )) [ 29 ]. The diversity function values are calculated based on a combination of the population in the current iteration and the populations from a few previous iterations.…”
Section: Self-adaptive Teaching-learning Based Optimization With An Acceptance Probabilitymentioning
confidence: 99%
“…erefore, they are at present the most used and popular optimizers for real engineering design optimization problems [21][22][23][24]. For optimization applied to an inverse problem, successful use of MHs is reported worldwide, such as a damage detection problem [25,26], an inverse kinematic design of a robot [27], robot trajectory planning optimization [28], mechanism synthesis [29], and parameter identification of photovoltaic models [30,31]. For inverse problem optimization of aircraft parameters estimation using MH, to our knowledge studies are rare.…”
Section: Introductionmentioning
confidence: 99%
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“…This algebraic formulation is based on two steps: four parameters of the pivoting joints' positions are determined in the first step, and the remaining five linkage parameters are obtained in the second step. Bureerat and Sleesongsom 36 introduced a constraint handling technique instead of an exterior penalty function for path generation synthesis of the four-bar linkage. The introduced technique is exerted to input crank rotation and Grashof's condition.…”
Section: Introductionmentioning
confidence: 99%
“…Due to high-cost computation function, a surrogate model and an optimization technique are combined to increase the efficiency of the optimization algorithm. The optimization with a surrogate model is popular and used in the various fields such as, mechanical engineering [1,2], chemical engineering [3,4], aerospace engineering [5,6], etc. One of the popular methods that combined the surrogate model and the optimization technique to solved an expensive function is an efficient global optimization (EGO) [7] because it can reduce the computational cost for an optimization process.…”
Section: Introductionmentioning
confidence: 99%