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Evaluation of Chemical Processes for Sustainable Optimization
(Oklahoma State University, 2011-05-01)
Increasing concerns over global climate change due to greater amounts of greenhouse gases in the atmosphere or ozone depletion etc. are leading engineers to address `environmental' impacts of industrial processes. Additionally, ...
Self-Adaptive Genetic Algorithm for Constrained Optimization
(Oklahoma State University, 2006-12-01)
This study proposes a self-adaptive penalty function algorithm for solving constrained optimization problems using genetic algorithm (GA). Constrained optimization is a practically relevant and challenging field that deals ...
Robust Shortest Paths under Uncertainty Using Conditional Value-at-Risk
(Oklahoma State University, 2011-12-01)
Finding a shortest path in a network is a classical problem in discrete optimization. The systems underlying the network models are subjects to a variety of sources of uncertainty. The purpose of this thesis is to model ...
Pseudo-Component Viscoelastic Modeling of Soft Tissues
(Oklahoma State University, 2010-12-01)
Understanding the response of human tissues to externally imposed stress and strain is critical to improving quality of life. This work explored regression approaches and modeling that aid discovery and describe mechanisms ...
Hierarchical Optimization Approach for Cooperative Vehicle Networks
(Oklahoma State University, 2005-12-01)
This research presents a control algorithm for the cooperative control of unmanned mobile robots. The algorithm relies on continuously solving an open loop mixed integer linear programming optimization problem. Since the ...
Accelerating convergence of leapfrogging optimization - Applications to nonlinear process modeling and nonlinear model predictive control
(2014-07)
Conventionally used optimization methods in chemical engineering applications such as linear programming (LP), Levenberg-Marquardt and sequential quadratic programming (SQP) handle nonlinear objective function (OF) surfaces ...
Optimization of Integrated Renewable Energy System - Micro Grid (IRES-MG)
(Oklahoma State University, 2011-12-01)
Ever growing demands of increasing world population has challenged the scientific and technical communities to supply quality energy in a sustainable manner. Dependence on fossil fuels has resulted in the depletion of the ...
Leapfrogging with improved initialization and its applications: Demonstration of leapfrogging on horizon predictive control of a heat exchanger
(2014-07)
Leapfrogging (LF) is a recently developed optimization technique that initially places players in random spots in the feasible decision variable space [1]. The approach to reach the global optimum is by "Leaping" the player ...
Approach to Modeling and Optimization of Integrated Renewable Energy System (Ires)
(Oklahoma State University, 2013-12-01)
The purpose of this study was to cost optimize electrical part of IRES (Integrated Renewable Energy Systems) using HOMER and maximize the utilization of resources using MATLAB programming. IRES is an effective and a viable ...