Simulation-based optimizationLicense Plate Recognition (LPR) dataThis paper investigates the day-to-day dynamics model from the perspective of travelers' actual route choice behaviors, and calibrates and validates the route-based day-to-day dynamics model with the real-world license plate recognition ...
This study investigates and discusses a time-efficient technology that contains a surrogate model within a simulation-optimization model to identify the characteristics of groundwater pollutant sources. In the proposed surrogate model, Latin hypercube sampling (a stratified sampling approach) and artificial...
These and other problems can be alleviated by the development and employment of so-called surrogates that reliably represent the expensive, simulation-based model of the system or device of interest but they are much more reasonable and analytically tractable. This volume featu...
The learning algorithm used is a gradient-based optimization procedure called Backpropagation (Rumelhart and McClelland, 1986). For an introduction to neural network modeling, see, for example, Bishop (1995). (4) The input variables of the neural network are the permeability and porosity ...
Simulation is widely used in the decision-making processes associated with supply chain management. In this paper, we present an extension of the simulation-based optimization framework which has been previously proposed for analyzing supply chains. The extension consists of the iterative construction of...
In this chapter, we illustrate how the designs of various antennas can be obtained efficiently using an automated surrogate-based optimization (SBO) methodology. The SBO techniques considered here include the adaptive design specification technique, variable-fidelity simulation-driven optimization, and ...
1) Surrogate-model based optimization 代理模型优化2) optimized management model 优化管理模型 1. Primary study on optimized management model in land treatment system for urban wastewater; 城市污水土地处理系统优化管理模型初探 2. The embedding technique in the optimized management model of ground water...
Python library for parallel multiobjective simulation optimization python3numerical-optimizationmultiobjective-optimizationmultiobjectivesimulation-optimizationblackbox-optimizationsurrogate-based-optimizationmathematical-softwaresimulation-based-optimizationresponse-surface-methodologymulticriteria-optimization ...
Surrogatebasedoptimization 系统标签: surrogateoptimizationbaseddoersmsampled 17 Surrogate-BasedOptimization Zhong-HuaHanandKe-ShiZhang SchoolofAeronautics,NorthwesternPolytechnicalUniversity,Xi’an, P.R.China 1.Introduction Surrogate-basedoptimization(Queipoetal.2005,Simpsonetal.2008)representsaclassof optimizationmetho...
In principle, optimization-based "superstructure" methods for process synthesis can be more powerful than sequential-conceptual methods as they account for all complex interactions between design decisions. However, these methods have not been widely adopted because they lead to mixed-integer nonlinear pr...