Surrogate Affine Approximation Based Co-Optimization of Transactive Flexibility, Uncertainty, and Energy

Power optimization of a piezoelectric-based energy harvesting cantilever beam using surrogate model

Energy harvesting is a conventional method to collect the dissipated energy of a system. In this paper, we investigate the optimal location of a piezoelectric element to harvest maximum power concerning different excitation frequencies of a vibrating cantilever beam. The cantilever beam oscillates by a concentrated sinusoidal tip force, and a piezoelectric patch is integrated on the beam to gen...

economic optimization and energy consumption in tray dryers

دراین پروژه به بررسی مدل سازی خشک کردن مواد غذایی با استفاده از هوای خشک در خشک کن آزمایشگاهی نوع سینی دار پرداخته شده است. برای آنالیز انتقال رطوبت در طی خشک شدن به طریق جابجایی، یک مدل لایه نازک برای انتقال رطوبت، مبتنی بر معادله نفوذ فیک در نظر گفته شده است که شامل انتقال همزمان جرم و انرژی بین فاز جامد و گاز می باشد. پروفایل دما و رطوبت برای سه نوع ماده غذایی شامل سیب زمینی، سیب و موز در طی...

Analysis of approximation and uncertainty in optimization

We study a series of topics involving approximation algorithms and the presence of uncertain data in optimization. On the first theme of approximation, we derive performance bounds for rollout algorithms. Interpreted as an approximate dynamic programming algorithm, a rollout algorithm estimates the value-to-go at each decision stage by simulating future events while following a heuristic policy...

17 Surrogate - Based Optimization

Surrogate-Based Optimization

Surrogate-based optimization (Queipo et al. 2005, Simpson et al. 2008) represents a class of optimization methodologies that make use of surrogate modeling techniques to quickly find the local or global optima. It provides us a novel optimization framework in which the conventional optimization algorithms, e.g. gradient-based or evolutionary algorithms are used for sub-optimization(s). Surrogat...