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Journal ArticleDOI

Response surface approximation of Pareto optimal front in multi-objective optimization

TLDR
A systematic approach to approximate the Pareto optimal front (POF) by a response surface approximation is presented, and the approximated POF can help visualize and quantify trade-offs among objectives to select compromise designs.
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This article is published in Computer Methods in Applied Mechanics and Engineering.The article was published on 2007-01-01. It has received 269 citations till now. The article focuses on the topics: Multi-objective optimization.

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Citations
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Journal ArticleDOI

Surrogate-based Analysis and Optimization

TL;DR: The multi-objective optimal design of a liquid rocket injector is presented to highlight the state of the art and to help guide future efforts.
Journal ArticleDOI

Evolutionary Optimization of Computationally Expensive Problems via Surrogate Modeling

TL;DR: The essential backbone of the framework is an evolutionary algorithm coupled with a feasible sequential quadratic programming solver in the spirit of Lamarckian learning that leverages surrogate models for solving computationally expensive design problems with general constraints on a limited computational budget.
Journal ArticleDOI

Intercalation-Induced Stress and Heat Generation within Single Lithium-Ion Battery Cathode Particles

TL;DR: In this article, the authors combined analyses of transport and kinetics in determining resulting stresses, which arise from concentration gradients in cathode particles, and heat generation, and found that intercalation-induced stress and time-averaged resistive heat generation rate increase with particle radius and potential sweep rate.
Journal ArticleDOI

Large Eddy Simulation of turbulent vortex-cavitation interactions in transient sheet/cloud cavitating flows

TL;DR: In this paper, the influence of sheet/cloud cavitation on the hydrodynamic coefficients and surrounding flow turbulent structures was quantified for a 3D Clark-Y hydrofoil fixed at an angle of attack of α = 8 degrees at a moderate Reynolds number.
Journal ArticleDOI

State-of-the-art in aerodynamic shape optimisation methods

TL;DR: This review provides comprehensive but straightforward insight for non-specialists and reference detailing the current state for specialist practitioners by analysing the limitations, drawbacks, and the benefits of the most utilised optimisation approaches.
References
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Book

Genetic algorithms in search, optimization, and machine learning

TL;DR: In this article, the authors present the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields, including computer programming and mathematics.

Genetic algorithms in search, optimization and machine learning

TL;DR: This book brings together the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields.
Book

Genetic Algorithms

Book

Multi-Objective Optimization Using Evolutionary Algorithms

TL;DR: This text provides an excellent introduction to the use of evolutionary algorithms in multi-objective optimization, allowing use as a graduate course text or for self-study.
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