Stochastic Optimization For Integrated Energy System With Reliability Improvement Using Decomposition Algorithm,
2014
University of Central Florida
Stochastic Optimization For Integrated Energy System With Reliability Improvement Using Decomposition Algorithm, Yuping Huang
Electronic Theses and Dissertations
As energy demands increase and energy resources change, the traditional energy system has been upgraded and reconstructed for human society development and sustainability. Considerable studies have been conducted in energy expansion planning and electricity generation operations by mainly considering the integration of traditional fossil fuel generation with renewable generation. Because the energy market is full of uncertainty, we realize that these uncertainties have continuously challenged market design and operations, even a national energy policy. In fact, only a few considerations were given to the optimization of energy expansion and generation taking into account the variability and uncertainty of energy supply …
A Curricula Assessment And Improvement Quantitative Model For Higher Education: A Design For Six Sigma Methodology,
2014
University of Central Florida
A Curricula Assessment And Improvement Quantitative Model For Higher Education: A Design For Six Sigma Methodology, Abdullah Halawany
Electronic Theses and Dissertations
Curricula assessment is an integrated process to assist higher education institutions in addressing the challenges in a designated field of study and in exploring the opportunities to better educate and prepare their students for an increasingly complex world. Although assessment as a topic has been researched extensively, there has been a lack of quantitative tools that address the requirements of many of the stakeholders that may be critical to the curriculum design and assessment processes. This research proposes the utilization of Design for Six Sigma (DFSS) to develop a quantitative model for curriculum assessment and improvement for higher education institutions. …
Cost-Sensitive Learning-Based Methods For Imbalanced Classification Problems With Applications,
2014
University of Central Florida
Cost-Sensitive Learning-Based Methods For Imbalanced Classification Problems With Applications, Talayeh Razzaghi
Electronic Theses and Dissertations
Analysis and predictive modeling of massive datasets is an extremely significant problem that arises in many practical applications. The task of predictive modeling becomes even more challenging when data are imperfect or uncertain. The real data are frequently affected by outliers, uncertain labels, and uneven distribution of classes (imbalanced data). Such uncertainties create bias and make predictive modeling an even more difficult task. In the present work, we introduce a cost-sensitive learning method (CSL) to deal with the classification of imperfect data. Typically, most traditional approaches for classification demonstrate poor performance in an environment with imperfect data. We propose the …
A Holistic Framework For Transitional Management,
2014
University of Central Florida
A Holistic Framework For Transitional Management, Ahmed Elattar
Electronic Theses and Dissertations
For all business organizations, there comes a time when a change must take place within their eco-system. It consumes a great deal of thought and planning to ensure that the right decision is made as it could alter the entire course of their business for a number of years to come. This change may appear in the form of a brilliant CEO reaching the age of retirement, or an unsuccessful Managing Director being asked to leave before fulfilling the term of her contract. Regardless of the cause, a transition must occur in which a suitable successor is chosen and put …
Assessing Safety Culture Among Pilots In Saudi Airlines: A Quantitative Study Approach,
2014
University of Central Florida
Assessing Safety Culture Among Pilots In Saudi Airlines: A Quantitative Study Approach, Mohammad Alsowayigh
Electronic Theses and Dissertations
In high- risk industries, such as aviation, safety is a key for organization survivor. Most accidents involve human losses and bring substantial cost to organizations. Accidents can devastate the reputation and profitability of any organization. In aviation, more than 80% of aircraft accidents are related to human errors. Safety culture has substantial impact on the success of any organization. Employees' performance and behaviors are influenced by their perception of safety culture within their organization. In the aviation industry, pilots are considered the last resort to prevent accidents or mishaps in the air or ground. The focus on pilots' perception of …
A Framework For Measuring And Analyzing Customer Satisfaction At Computer Service Company Using Lean Six Sigma,
2014
University of Central Florida
A Framework For Measuring And Analyzing Customer Satisfaction At Computer Service Company Using Lean Six Sigma, Mohammed Abboodi
Electronic Theses and Dissertations
The computer service industry has been expanding dramatically due to the increase in the number of computing machineries in the last two decades. The entrance of large size companies in the market and the release of online tools that have the ability for diagnosing and troubleshooting hardware and software issues have boosted the competition. In the meantime, many of the small and medium size companies find themselves unable to keep their customers satisfied since their competitors provide high quality service with lower cost. The lack of a good measurement system to assess and analyze the satisfaction level with the provided …
Conquering Complexity: Challenges And Opportunities: Preface,
2014
Missouri University of Science and Technology
Conquering Complexity: Challenges And Opportunities: Preface, Cihan H. Dagli
Engineering Management and Systems Engineering Faculty Research & Creative Works
No abstract provided.
Part Viii: Health Care Analytics: Preface,
2014
Missouri University of Science and Technology
Part Viii: Health Care Analytics: Preface, Cilan H. Dagli
Engineering Management and Systems Engineering Faculty Research & Creative Works
No abstract provided.
How To Rein In The Volatile Actor: A New Bounded Perspective,
2014
Missouri University of Science and Technology
How To Rein In The Volatile Actor: A New Bounded Perspective, Abhijit Gosavi
Engineering Management and Systems Engineering Faculty Research & Creative Works
Actor-critic algorithms are amongst the most well-studied reinforcement learning algorithms that can be used to solve Markov decision processes (MDPs) via simulation. Unfortunately, the parameters of the so-called "actor" in the classical actor-critic algorithm exhibit great volatility - getting unbounded in practice, whence they have to be artificially constrained to obtain solutions in practice. The algorithm is often used in conjunction with Boltzmann action selection, where one may have to use a temperature to get the algorithm to work, but the convergence of the algorithm has only been proved when the temperature equals 1. We propose a new actor-critic algorithm …
Ieee Cibcb 2014-Computational Intelligence In Bioinformatics And Computational Biology [Conference Reports],
2014
Missouri University of Science and Technology
Ieee Cibcb 2014-Computational Intelligence In Bioinformatics And Computational Biology [Conference Reports], Steven Corns
Engineering Management and Systems Engineering Faculty Research & Creative Works
The 2014 Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB) was held at the Hilton Hawaiian Village, Honolulu, from May 21-25. The papers presented at the conference covered the full range of computational intelligence techniques and applications. James Hughes from Brock University received the best student paper award from General Chair Steven Corns for his paper titled, 'Recentering and Restarting Genetic Algorithms Variations for DNA Fragment Assembly.' The best overall paper was awarded to Jennifer Hallinan, Owen Gilfellon, Goksel Misirli and Anil Wipat, all of Newcastle University, for their work 'Tuning Receiver Characteristics in Bacterial Quorum Communication: An …
Carbon Constrained Integrated Inventory Control And Truckload Transportation With Heterogeneous Freight Trucks,
2014
Missouri University of Science and Technology
Carbon Constrained Integrated Inventory Control And Truckload Transportation With Heterogeneous Freight Trucks, Dinçer Konur
Engineering Management and Systems Engineering Faculty Research & Creative Works
This paper analyzes an integrated inventory control and transportation problem with environmental considerations. Particularly, explicit transportation modeling is included with inventory control decisions to capture per truck costs and per truck capacities. Furthermore, a carbon cap constraint on the total emissions is formulated by considering emission characteristics of various trucks that can be used for inbound transportation. Due to complexity of the resulting optimization problem, a heuristic search method is proposed based on the properties of the problem. Numerical studies illustrate the efficiency of the proposed method. Furthermore, numerical examples are presented to show that both costs and emissions can …
Nonlinear Modeling Using Neural Networks For Trading The Soybean Complex,
2014
Missouri University of Science and Technology
Nonlinear Modeling Using Neural Networks For Trading The Soybean Complex, Phoebe S. Wiles, David Lee Enke
Engineering Management and Systems Engineering Faculty Research & Creative Works
Recently, there has been a spike in the prices and popularity of commodities. On a macroeconomic level, developing countries are increasing production; while on a microeconomic level, speculative traders are becoming more involved in the market. Agricultural products have a diverse array of factors that can affect the price (i.e. political, government, population, weather, supply and demand). Commodity prices can suffer from extreme volatility in the short term, changing as much as 50% in one year. This research uses the soybean crush spread as a model. The soybean complex adds an interesting component as the underlying soybean product can be …
Computational Complexity Measures For Many-Objective Optimization Problems,
2014
Missouri University of Science and Technology
Computational Complexity Measures For Many-Objective Optimization Problems, David M. Curry, Cihan H. Dagli
Engineering Management and Systems Engineering Faculty Research & Creative Works
Multi-objective Optimization Problems (MOPs) are commonly encountered in the study and design of complex systems. Pareto dominance is the most common relationship used to compare solutions in MOPs, however as the number of objectives grows beyond three, Pareto dominance alone is no longer satisfactory. These problems are termed "Many-Objective Optimization Problems (MaOPs)". While most MaOP algorithms are modifications of common MOP algorithms, determining the impact on their computational complexity is difficult. This paper defines computational complexity measures for these algorithms and applies these measures to a Multi-Objective Evolutionary Algorithm (MOEA) and its MaOP counterpart.
A Hybrid Neuro-Fuzzy Model To Forecast Inflation,
2014
Missouri University of Science and Technology
A Hybrid Neuro-Fuzzy Model To Forecast Inflation, David Lee Enke, Nijat Mehdiyev
Engineering Management and Systems Engineering Faculty Research & Creative Works
One of the key issues in constructing monetary policy is accurate prediction of the inflation level. The complex behavior and non-linear nature of the financial markets makes it hard to forecast the inflation rate precisely. This paper introduces a hybrid model that attempts to forecast the inflation rate with a combination of a subtractive clustering technique and a fuzzy inference neural network to overcome the shortcomings of the individual methodologies. Selected macroeconomic factors were used to predict the historical CPI data from the US Markets. The results of the proposed hybrid model are measured in RMSE.
Volatility Forecasting Using A Hybrid Gjr-Garch Neural Network Model,
2014
Missouri University of Science and Technology
Volatility Forecasting Using A Hybrid Gjr-Garch Neural Network Model, Soheil Almasi Monfared, David Lee Enke
Engineering Management and Systems Engineering Faculty Research & Creative Works
Volatility forecasting in the financial markets, along with the development of financial models, is important in the areas of risk management and asset pricing, among others. Previous testing has shown that asymmetric GARCH models outperform other GARCH family models with regard to volatility prediction. Utilizing this information, three popular Neural Network models (Feed-Forward with Back Propagation, Generalized Regression, and Radial Basis Function) are implemented to help improve the performance of the GJR (1,1) method for estimating volatility over the next forty-four trading days. During training and testing, four different economic cycles have been considered between 1997-2011 to represent real and …
Timekeeping Issues In Ultra-Quality Metering Systems,
2014
Missouri University of Science and Technology
Timekeeping Issues In Ultra-Quality Metering Systems, David D. Haynes, Steven M. Corns
Engineering Management and Systems Engineering Faculty Research & Creative Works
The improvements made to smart metering systems in terms of performance and accuracy have in many cases created a gap in the requirements for timekeeping performance. When clock errors accumulate in different metrology systems, data collected from one system cannot be compared to data collected from another system. This paper recommends the use of a common time base for all data gathering systems, and that systems clocks are corrected with numerous minor corrections when possible, rather than major corrections. © 2013 IEEE.
On The Flexibility Of Systems In System Of Systems Architecting,
2014
Missouri University of Science and Technology
On The Flexibility Of Systems In System Of Systems Architecting, Dincer Konur, Hadi Farhangi, Cihan H. Dagli
Engineering Management and Systems Engineering Faculty Research & Creative Works
System of Systems (SoS) architecting requires analyzing a set of individual but interconnected systems simultaneously in order to build a communicating SoS, which can provide the capabilities needed. In general, the systems can provide a set of capabilities and the SoS architect needs to decide which systems to include in the SoS so that each capability is provided by at least one system. In this case, the systems are inflexible, i.e., a selected system will contribute to the SoS with all the capabilities it can provide. On the other hand, if SoS architect can incentivize systems to contribute specific capabilities …
A Hybrid Genetic Algorithm And Particle Swarm Optimization With Type-2 Fuzzy Sets For Generating Systems Of Systems Architectures,
2014
Missouri University of Science and Technology
A Hybrid Genetic Algorithm And Particle Swarm Optimization With Type-2 Fuzzy Sets For Generating Systems Of Systems Architectures, Siddhartha Agarwal, Louis E. Pape, Cihan H. Dagli
Engineering Management and Systems Engineering Faculty Research & Creative Works
Both modeling and simulating a system of systems (SoS) are difficult due not only to a changing environment but also the unique behavior that is linked to different participating systems. Generating architectures for a SoS is a multi-objective optimization problem with large number of variables and constraints. The paper presents several of computational intelligence techniques that can generate SoS architectures, such as genetic algorithms (GA), and particle swarm optimization (PSO) combined with Type 2 Fuzzy logic nets. The Maritime search and rescue (SAR) were used as a SoS domain scenario to both implement and demonstrate the architecting methodology. SAR utilizes …
Joint Decisions On Inventory Replenishment And Emission Reduction Investment Under Different Emission Regulations,
2014
Missouri University of Science and Technology
Joint Decisions On Inventory Replenishment And Emission Reduction Investment Under Different Emission Regulations, Ayşegül Toptal, Haşim Özlü, Dinçer Konur
Engineering Management and Systems Engineering Faculty Research & Creative Works
Carbon emission regulation policies have emerged as mechanisms to control firms' carbon emissions. To meet regulatory requirements, firms can make changes in their production planning decisions or invest in green technologies. In this study, we analyze a retailer's joint decisions on inventory replenishment and carbon emission reduction investment under three carbon emission regulation policies. Particularly, we extend the economic order quantity model to consider carbon emissions reduction investment availability under carbon cap, tax and cap-and-trade policies. We analytically show that carbon emission reduction investment opportunities, additional to reducing emissions as per regulations, further reduce carbon emissions while reducing costs. We …
Multi-Agent Based Architecture For Acknowledged System Of Systems,
2014
Missouri University of Science and Technology
Multi-Agent Based Architecture For Acknowledged System Of Systems, Siddhartha Agarwal, Lou E. Pape, Nil Kilicay-Ergin, Cihan H. Dagli
Engineering Management and Systems Engineering Faculty Research & Creative Works
Negotiation and collaboration issues in large organizations, with centralized control, across the globe, are becoming more complex with each passing day. The Acknowledged System of Systems (SoS) is a new approach that addresses some of these issues in a systematic, efficient manner. This paper proposes a hierarchical architectural framework to support Acknowledged SoS architecting and analysis for a Department of Defense (DoD) Acquisition process. A major challenge of the successful planning and evolution of an Acknowledged SoS is the lack of understanding of the impact of presence or absence of a system and its interface with another constituent system on …
