Random optimization

Known as: Random optimisation, Randomized optimization

Random optimization (RO) is a family of numerical optimization methods that do not require the gradient of the problem to be optimized and RO can…

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.

2019

Structure-borne road noise dominates the cabin of modern vehicles, especially in the case of electric vehicles (EVs). Several RNC…

2018

This document summarises the results of several research campaigns over the past seven years. The main connecting theme is the…

2014

This report documents the program and the outcomes of Dagstuhl Seminar 14031 “Randomized Timed and Hybrid Models for Critical…

2014

In this paper, we wish to present some simplifled cases of discrete Bak- Sneppen models in which explicit computations via Markov…

2014

This paper presents the results of optimization of the design parameters of the combined cycle power plant, which was conducted…

2011

The main contribution of this paper is the development of a novel hybrid methodology so as to achieve optimal wind turbine…

2010

A discrete-event simulation model of air traffic fl ow is developed to take advantage of the computational efficiency afforded by…

2009

This paper explores the optimal disposal mechanism with fuzzy system cost under flexibility and reliability criteria. Many of the…

2005

We obtain an exact formula for the expected value of the optimum for a certain class of random combinatorial optimization…

1996

Integrals of optimal values of random linear programming problems depending on a finite dimensional parameter are approximated by…