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Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

Optimizing Selection And Mating In Genomic Selection With A Look-Ahead Approach: An Operations Research Framework, Saba Moeinizade, Guiping Hu, Lizhi Wang, Patrick Schnable Jul 2019

Optimizing Selection And Mating In Genomic Selection With A Look-Ahead Approach: An Operations Research Framework, Saba Moeinizade, Guiping Hu, Lizhi Wang, Patrick Schnable

Industrial and Manufacturing Systems Engineering Publications

New genotyping technologies have made large amounts of genotypic data available for plant breeders to use in their efforts to accelerate the rate of genetic gain. Genomic selection (GS) techniques allow breeders to use genotypic data to identify and select, for example, plants predicted to exhibit drought tolerance, thereby saving expensive and limited field-testing resources relative to phenotyping all plants within a population. A major limitation of existing GS approaches is the trade-off between short-term genetic gain and long-term potential. Some approaches focus on achieving short-term genetic gain at the cost of reduced genetic diversity necessary for long-term gains. In ...


Biomass Supply Contract Pricing And Environmental Policy Analysis: A Simulation Approach, Shiyang Huang, Guiping Hu Feb 2018

Biomass Supply Contract Pricing And Environmental Policy Analysis: A Simulation Approach, Shiyang Huang, Guiping Hu

Industrial and Manufacturing Systems Engineering Publications

This paper proposes an agent-based simulation model to study the biomass supply contract pricing and policy making in the biofuel industry. In the proposed model, the agents include farmers and a biofuel producer. Farmers' decision-making is assumed to be profit driven, which is formulated as a mixed-integer optimization model, and the biofuel producer's pricing decision is represented with a linear equation with an objective to maximize profits. A case study based on Iowa has been developed to analyze the interactions between the stakeholders and assist determination of the optimal pricing equation for the biofuel producer. Simulation results show that ...


Three New Approaches To Genomic Selection, Lizhi Wang, Guodong Zhu, Will Johnson, Mriga Kher Jan 2018

Three New Approaches To Genomic Selection, Lizhi Wang, Guodong Zhu, Will Johnson, Mriga Kher

Industrial and Manufacturing Systems Engineering Publications

Conventional genomic selection approaches use breeding values to evaluate individual plants or animals and to make selection decisions. Multiple variants of breeding values and selection approaches have been proposed, but they suffer two major limitations. First, selection decisions are not responsive to changes in time and resource availability. Second, selection decisions are not coordinated with related decisions such as mating and resource allocation. We present three new genomic selection approaches that attempt to address these two limitations, which were designed by engineering students in a class project at Iowa State University. Compared with previous approaches using the same data set ...


Convergence Analysis Of Alternating Direction Method Of Multipliers For A Family Of Nonconvex Problems, Mingyi Hong, Zhi-Quan Luo, Mesiam Razaviyayn Jan 2016

Convergence Analysis Of Alternating Direction Method Of Multipliers For A Family Of Nonconvex Problems, Mingyi Hong, Zhi-Quan Luo, Mesiam Razaviyayn

Industrial and Manufacturing Systems Engineering Publications

The alternating direction method of multipliers (ADMM) is widely used to solve large-scale linearly constrained optimization problems, convex or nonconvex, in many engineering fields. However there is a general lack of theoretical understanding of the algorithm when the objective function is nonconvex. In this paper we analyze the convergence of the ADMM for solving certain nonconvex consensus and sharing problems. We show that the classical ADMM converges to the set of stationary solutions, provided that the penalty parameter in the augmented Lagrangian is chosen to be sufficiently large. For the sharing problems, we show that the ADMM is convergent regardless ...


Quantized Consensus Admm For Multi-Agent Distributed Optimization, Shengyu Zhu, Mingyi Hong, Biao Chen Jan 2016

Quantized Consensus Admm For Multi-Agent Distributed Optimization, Shengyu Zhu, Mingyi Hong, Biao Chen

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Abstract: This paper considers multi-agent distributed optimization with quantized communication which is needed when inter-agent communications are subject to finite capacity and other practical constraints. To minimize the global objective formed by a sum of local convex functions, we develop a quantized distributed algorithm based on the alternating direction method of multipliers (ADMM). Under certain convexity assumptions, it is shown that the proposed algorithm converges to a consensus within log1+η Ω iterations, where η > 0 depends on the network topology and the local objectives, and O is a polynomial fraction depending on the quantization resolution, the distance between initial ...


An Optimization Approach To Assessing The Self-Sustainability Potential Of Food Demand In The Midwestern United States, Guiping Hu, Lizhi Wang, Susan W. Arendt, Randy Boeckenstedt Oct 2011

An Optimization Approach To Assessing The Self-Sustainability Potential Of Food Demand In The Midwestern United States, Guiping Hu, Lizhi Wang, Susan W. Arendt, Randy Boeckenstedt

Apparel, Events and Hospitality Management Publications

Conventional agriculture faces significant challenges as world population grows, food demand increases, and mobility becomes increasingly constrained. Reducing the distance food needs to travel is an important goal of sustainability and resiliency, particularly in the context of a variety of transportation challenges. In this study, we developed a linear programming optimization method to assess the potential of regions to meet dietary requirements with more localized and diversified agricultural systems. Emphasis is on minimizing the distance between population centers and available cropland, accounting for variations in yield among 40 of the most marketable food crops that can be grown in the ...


Toward A More Sustainable, Local Food Production System—From A System Modeling Perspective, Guiping Hu, Lizhi Wang, Susan W. Arendt, Randy Boeckenstedt Jan 2011

Toward A More Sustainable, Local Food Production System—From A System Modeling Perspective, Guiping Hu, Lizhi Wang, Susan W. Arendt, Randy Boeckenstedt

Apparel, Events and Hospitality Management Publications

Localized food production and sourcing is drawing increasing attention due to environmental and health considerations. In this study, we used population, dietary and geographical information to map potential foodsheds with emphasis on minimizing total geographic distribution. We also developed innovative protocols, metrics and optimization methods to analyze the foodshed localization of geographic areas. We used data from Iowa to analyze and validate the optimization model. This study can also be extended to other regions outside of Iowa.


Analyzing Sustainable, Localized Food Production Systems With A Systematic Optimization Model, Guiping Hu, Lizhi Wang, Susan W. Arendt, Randy Boeckenstedt Jan 2011

Analyzing Sustainable, Localized Food Production Systems With A Systematic Optimization Model, Guiping Hu, Lizhi Wang, Susan W. Arendt, Randy Boeckenstedt

Apparel, Events and Hospitality Management Publications

Localized food production and sourcing is drawing increasing attention due to environmental and health considerations. In this study, we used population, dietary and geographical information to map potential foodsheds with emphasis on minimizing total geographic distribution. We also developed innovative protocols, metrics and optimization methods to analyze the foodshed localization of geographic areas. We used data from Iowa to analyze and validate the optimization model. This study can also be extended to other regions outside of Iowa.


A Lot Aggregation Optimization Model For Minimizing Food Traceability Effort, Maitri Thakur, Lizhi Wang, Charles R. Hurburgh Jr. Jun 2009

A Lot Aggregation Optimization Model For Minimizing Food Traceability Effort, Maitri Thakur, Lizhi Wang, Charles R. Hurburgh Jr.

Agricultural and Biosystems Engineering Conference Proceedings and Presentations

This paper proposes a lot aggregation optimization model for minimizing the traceability effort at a grain elevator. The problem involves blending of bulk grain to meet customer specifications. A mathematical multi-objective mixed integer programming (MIP) model is proposed with two objective functions. The objective functions allow in calculating the minimum levels of lot aggregation and minimum discounts that need to be applied to a shipment when the customer contract specifications are not met. Constraints on the system include customer contract specifications, availability of grain at the elevator and the blending requirements. The solutions include the quantities of grain lots from ...


Ontologies For Supporting Engineering Design Optimization, Paul Witherell, Sundar Krishnamurty, Ian R. Grosse Jun 2007

Ontologies For Supporting Engineering Design Optimization, Paul Witherell, Sundar Krishnamurty, Ian R. Grosse

Center for e-Design Publications

This paper presents an optimization ontology and its implementation into a prototype computational knowledge-based tool dubbed ONTOP (ontology for optimization). Salient feature of ONTOP include a knowledge base that incorporates both standardized optimization terminology, formal method definitions, and often unrecorded optimization details, such as any idealizations and assumptions that may be made when creating an optimization model, as well as the model developer’s rationale and justification behind these idealizations and assumptions. ONTOP was developed using Protégé, a Java-based, free open-source ontology development environment created by Stanford University. Two engineering design optimization case studies are presented. The first case study ...


Optimal Price And Quantity Of Refurbished Products, Jumpol Vorasayan, Sarah M. Ryan Jan 2006

Optimal Price And Quantity Of Refurbished Products, Jumpol Vorasayan, Sarah M. Ryan

Industrial and Manufacturing Systems Engineering Publications

Many retail product returns can be refurbished and resold, typically at a reduced price. The price set for the refurbished products affects the demands for both new and refurbished products, while the refurbishment and resale activities incur costs. To maximize profit, a manufacturer in a competitive market must carefully choose the proportion of returned products to refurbish and their sale price. We model the sale, return, refurbishment, and resale processes in an open queueing network and formulate a mathematical program to find the optimal price and proportion to refurbish. Examination of the optimality conditions reveals the different situations in which ...


Scalable Optimization-Based Feature Selection Using Random Sampling, Jaekyung Yang, Sigurdur Olafsson Jan 2003

Scalable Optimization-Based Feature Selection Using Random Sampling, Jaekyung Yang, Sigurdur Olafsson

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

We analyze an optimization-based approach called the NP-Filter for feature selection and show how the scalability of this method can be improved using random sampling of instances from the training data. The NP-Filter has attractive theoretical properties as the final solution quality can be quantified and it is flexible in terms of incorporating various feature evaluation methods. We show how the NP-Filter can automatically adjust to the randomness that occurs when a sample of training instances is used, and present numerical results that illustrate both this key result and the scalability improvement that are obtained.