An inexact simulation-based stochastic optimization method for identifying effluent trading strategies of agricultural nonpoint sources

2015 ◽  
Vol 152 ◽  
pp. 72-90 ◽  
Author(s):  
J.L. Zhang ◽  
Y.P. Li ◽  
C.X. Wang ◽  
G.H. Huang
Keyword(s):  
Stochastic Optimization ◽  
Optimization Method ◽  
Trading Strategies ◽  
Nonpoint Sources ◽  
Simulation Based ◽  
Effluent Trading

A Stochastic Optimization Application for Vehicle Structures

2002 ◽  
Author(s):  
Yan Fu ◽  
Steve C. Wang ◽  
Urmila M. Diwekar ◽  
Kemal H. Sahin
Keyword(s):  
Stochastic Optimization ◽  
Test Performance ◽  
Nonlinear Response ◽  
Optimization Method ◽  
Side Impact ◽  
Simulation Based ◽  
Surface Models ◽  
Safety Design ◽  
Vehicle Side Impact Test ◽  
Related Test

With the continuous improvement of powerful computers, vehicle structural designs have been addressed using computational methods, resulting in more efficient development of new vehicles. Most simulation-based optimization generates deterministic optimal designs without considering variability effects in modeling, simulation, and/or manufacturing. This paper presents an application of a new stochastic optimization method for vehicle side impact design. Nonlinear response surface models are employed for approximations of the side impact related test performance functions to conduct this study. The main goal is to maintain or enhance the vehicle side impact test performance while minimizing the vehicle weight under various uncertainties. The new algorithm alleviates the computational burden of excessive model evaluations by estimating the objective and constraint functions during the optimization process through a reweighting method. The efficiency and accuracy of this algorithm is presented through an actual vehicle safety design problem.

High Speed Information Network Planning using Stochastic Optimization Method

2013 ◽  
Author(s):  
Ki-Sang Song ◽  
Arun K. Somani
Keyword(s):  
Stochastic Optimization ◽  
Network Design ◽  
Multimedia Information ◽  
High Speed ◽  
Minimum Cost ◽  
Optimization Method ◽  
Multimedia Communication ◽  
Network Design Problem ◽  
Information Network ◽  
Traffic Characteristics

From the 1994 CAIS Conference: The Information Industry in Transition McGill University, Montreal, Quebec. May 25 - 27, 1994.Broadband integrated services digital network (B-ISDN) based on the asynchronous transmission mode (ATM) is becoming reality to provide high speed, multi bit rate multimedia communications. Multimedia communication network has to support voice, video and data traffics that have different traffic characteristics, delay sensitive or loss sensitive features have to be accounted for designing high speed multimedia information networks. In this paper, we formulate the network design problem by considering the multimedia communication requirements. A high speed multimedia information network design alogrithm is developed using a stochastic optimization method to find good solutions which meet the Quality of Service (QoS) requirement of each traffic class with minimum cost.

Train timetabling with dynamic and random passenger demand: A stochastic optimization method

2021 ◽  
Vol 123 ◽  
pp. 102963
Author(s):  
Congcong Gong ◽  
Jungang Shi ◽  
Yanhui Wang ◽  
Housheng Zhou ◽  
Lixing Yang ◽  
...  
Keyword(s):  
Stochastic Optimization ◽  
Optimization Method ◽  
Train Timetabling ◽  
Passenger Demand

Simulation-Based Hybrid Optimization Method for the Digital Twin of Garment Production Lines

2021 ◽  
Vol 21 (3) ◽  
Author(s):  
Woo-Kyun Jung ◽  
Young-Chul Park ◽  
Jae-Won Lee ◽  
Eun Suk Suh
Keyword(s):  
Expert Knowledge ◽  
Structural Characteristics ◽  
Optimization Method ◽  
Hybrid Optimization ◽  
Optimization Process ◽  
Production Lines ◽  
Distribution Method ◽  
Workload Analysis ◽  
Hybrid Optimization Method ◽  
Simulation Based

AbstractImplementing digital transformation in the garment industry is very difficult, owing to its labor-intensive structural characteristics. Further, the productivity of a garment production system is considerably influenced by a combination of processes and operators. This study proposes a simulation-based hybrid optimization method to maximize the productivity of a garment production line. The simulation reflects the actual site characteristics, i.e., process and operator level indices, and the optimization process reflects constraints based on expert knowledge. The optimization process derives an optimal operator sequence through a genetic algorithm (GA) and sequentially removes bottlenecks through workload analysis based on the results. The proposed simulation optimization (SO) method improved productivity by ∼67.4%, which is 52.3% higher than that obtained by the existing meta-heuristic algorithm. The correlation between workload and production was verified by analyzing the workload change trends. This study holds significance because it presents a new simulation-based optimization model that further applies the workload distribution method by eliminating bottlenecks and digitizing garment production lines.

Transportation-oriented spatial allocation of land use development: a simulation-based optimization method

SIMULATION ◽  
2020 ◽  
Vol 96 (7) ◽  
pp. 583-591
Author(s):  
Hongzhi Lin ◽  
Yongping Zhang
Keyword(s):  
Land Use ◽  
Urban Development ◽  
Simulation Experiment ◽  
Optimization Method ◽  
Transportation System ◽  
Sustainable Urban Development ◽  
Total System ◽  
Simulation Based ◽  
Level Model ◽  
Land Use Development

Urban development usually deteriorates the transportation system. For sustainable urban development, policymakers often face the challenging problem of how to optimally allocate overall land use quotas across a number of residential locations according to the performance of the transportation system. This is a kind of Stackelberg competition, where policymakers make land use decisions and travelers make behavioral responses. A novel bi-level model is formulated to solve this problem. The upper-level model minimizes the total system travel time by land use allocation, while at the lower level are sequential models with feedback for transportation system equilibrium. The Dirichlet allocation algorithm, a simulation-based heuristic algorithm, is designed to solve this bi-level model. A simulation experiment using the Nguyen–Dupuis network is then used to verify the proposed model and algorithm. The results from the simulation experiment demonstrate that not only are the model and algorithm operational but that they also provide an effective tool for policymakers to plan for land use development.

Simulation-Based Optimization of Electricity Demand Response for Sustainable Manufacturing Systems

2014 ◽  
Author(s):  
Leah Cuyler ◽  
Zeyi Sun ◽  
Lin Li
Keyword(s):  
Demand Response ◽  
Manufacturing Systems ◽  
Manufacturing Sector ◽  
Sustainable Manufacturing ◽  
Optimization Method ◽  
Electricity Demand ◽  
System Throughput ◽  
Commercial Building ◽  
Simulation Based ◽  
Simulation Based Optimization

Electricity demand response is considered a promising tool to balance the electricity demand and supply during peak periods. It can effectively reduce the cost of building and operating those peaking power generators that are only run a few hundred hours per year to satisfy the peak demand. The research on the electricity demand response implementation for residential and commercial building sectors has been very mature. Recently, it has also been extended to the manufacturing sector. In this paper, a simulation-based optimization method is developed to identify the optimal demand response decisions for the typical manufacturing systems with multiple machines and buffers. Different objectives, i.e. minimizing the power consumption under the constraint of system throughput, and maximize the overall earnings considering the tradeoff between power demand reduction and potential production loss, are considered. Different energy control decisions are analyzed and compared regarding the potential influence on the throughput of manufacturing system due to the different control actions adopted by throughput bottleneck machine.

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