Review: population methods of Pareto set approximation in multi-objective optimization problem

Karpenko,; Semenikhin,; Mitina,

doi:10.7463/0412.0363023

Cited by 1 publication

(2 citation statements)

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“…In essence, this form of convolution (2) is similar to the convolution of the ideal point method [8], which is in turn close to Germeyer's convolution [9]. As shown by Karpenko et al [8], these convolutions, make it possible to find optimal solutions, both for convex and for non-convex Pareto sets.…”

Section: Accounting For Multi-criteria In the Optimization Problemmentioning

confidence: 94%

“…1, the two-dimensional normalized criterion space of each variant of flow path design is characterized by the corresponding point, whose distance to the center of the coordinates is proportional to the value ‖ ( , )‖. In essence, this form of convolution (2) is similar to the convolution of the ideal point method [8], which is in turn close to Germeyer's convolution [9]. As shown by Karpenko et al [8], these convolutions, make it possible to find optimal solutions, both for convex and for non-convex Pareto sets.…”

Section: Accounting For Multi-criteria In the Optimization Problemmentioning

confidence: 99%

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Optimal Design of Gas Turbines Flow Paths Considering Operational Modes

Бойко

Govorushchenko

Usaty

et al. 2014

Volume 1B, Symposia: Fluid Machinery; Fluid-Structure Interaction and Flow-Induced Noise in Industrial Applications; Flow Appli

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A new technique for multi-parameter optimization of gas turbines flow paths considering a variable mode for their operation is presented. It allows the estimation of the influence of flow path optimization on performance parameters of gas-turbine units, such as power, efficiency, and fuel consumption. An algorithm for turbine flow path multi-criteria optimization that takes into account the gas-turbine unit operation mode is shown. Approaches to speed up the optimization process are described. Using this technique GT-750-6M low pressure turbine flow path optimization based on real working loads during one year is carried out and the results are analyzed. Due to optimization the unit efficiency was improved at all operating modes. The total fuel economy for considered period makes 50.831 t.

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Section: Accounting For Multi-criteria In the Optimization Problemmentioning

confidence: 94%

Section: Accounting For Multi-criteria In the Optimization Problemmentioning

confidence: 99%