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In order to demonstrate the performance of the LPOA, three large-scale benchmark optimization design problems of double-layer barrel vaults are optimized and the results are compared with those of some metaheuristics from literature.
The efficiency and robustness of the proposed algorithm are illustrated using three benchmark optimization design problems.
HPSO-OCC is tested and analysed in both static and dynamic environments using seven benchmark optimization functions.
In a survey study, Ben-Tal and Nemirovski (2000) showed that a small perturbation on data could lead to infeasible solutions for some benchmark optimization problems.
RegPSO has been tested experimentally over popular benchmark optimization problems and successfully approximates the global minimum of these benchmark problems [15].
A set of 10 well-known benchmark optimization problems is utilized to validate the performance of the NTVAC-PSO as a global optimization algorithm and to compare with similar methods.
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Five benchmark optimizations were introduced to test COSPSO, and they proved that COSPSO can remarkably improve efficiency in optimizing complex functions.
Therefore, the goal of these benchmarks is not to obtain accurate estimates of all the parameters, but rather to obtain a good fit to the data: when tested on this collection of benchmarks, optimization methods should be evaluated by their ability to minimize the objective function.
The effectiveness of Harmony Search and Firefly Algorithm is demonstrated through four benchmark structural optimization problems for solving shape and sizing optimization of trusses with multiple frequency constraints.
In this study, after evaluated on benchmark function optimization, the SOA is applied to optimal modelling of the PEMFC by using a fuel cell test system in Fuel Cell Application Centre (FAC) at the Temasek Polytechnic, and compared with several state-of-the-art versions of differential evolution (DE) and particle swarm optimization (PSO) algorithms.
The SBO algorithm is applied to five benchmark truss optimization problems with frequency constraints and the statistical results are compared to other optimization techniques in the literature.
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