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Using the present optimization method to obtain the lightest and the most effective stiffener layout for moderately thick plates is proposed.
Results show that the surface shape of a slider can be designed to meet the load demands under different specified operation conditions accurately by using the present optimization method.
Results show that the optimal design process of the locations of the baffles can be completed by using the present optimization approach in just a finite number of iterations.
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The reduction in sensitivity obtained using the present approach is attributed to an optimization process that identifies the material properties that best describe all the available information from multiple indentations.
The Micro-Genetic Algorithm (Micro-GA) was used in the presented optimization method to obtain the Pareto-Optimal Front (POF).
MOGA is used as an optimizer of the present optimization.
Use the present indicative.
The benefits in term of reduced computation time, inclusion of optimal energy dispatch and optimization of power electronic architecture, of the presented optimization method are illustrated using a case study.
The presented optimization model is programmed using a prominent programming language known as A Modeling Language for Mathematical Programming.
In this paper, a performance-based optimal seismic design of frame structures is presented using the ant colony optimization (ACO) method.
Initially, the classical water-filling solution subject to a total power constraint is presented using the Lagrange multipliers optimization approach.
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