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- Keyword
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- Automated warehousing; Travel time analysis; Multi-objective optimization; Simulation; Performance analysis (1)
- Biogeography-based optimization; evolutionary algorithm; Kalman filter; noisy optimization; re-sampling (1)
- Channel state information (1)
- Computationally expensive optimization; Biogeography-based optimization; Automotive system optimization; Design and analysis of computer experiments (1)
- Evolutionary algorithm (EA) (1)
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- Human motion recognition; machine learning; microsoft kinect (1)
- Interactive Markov model (1)
- MIMO relay (1)
- MMSE receivers (1)
- Markov model (1)
- OSTBC (1)
- Optimization search strategy (1)
- Outage probability (1)
- Population-proportion-based selection (1)
- Robotic modeling; Robotic testing; Prosthesis testing; Motion control (1)
- Selection and fixed relaying (1)
Articles 1 - 7 of 7
Full-Text Articles in Engineering
Biogeography-Based Optimization Of A Variable Camshaft Timing System, George Thomas, Daniel J. Simon, John Michelini
Biogeography-Based Optimization Of A Variable Camshaft Timing System, George Thomas, Daniel J. Simon, John Michelini
Electrical and Computer Engineering Faculty Publications
Automotive simulations often prohibit the use of traditional optimization techniques because these simulations are complex and computationally expensive. These two qualities motivate the use of evolutionary algorithms and meta-modeling techniques respectively. In this work, we apply biogeography-based optimization (BBO) to optimize radial basis function (RBF)-based lookup table controls of a variable camshaft timing system for fuel economy. Also, we reduce computational search effort by finding an effective parameterization of the problem, optimizing the parameters of the BBO algorithm for the problem, and estimating the cost of a portion of the candidate solutions in BBO with design and analysis of computer …
On The Performance Of Sr And Fr Protocols For Ostbc Based Af-Mimo Relay System With Channel And Noise Correlations, Batu K. Chalise
On The Performance Of Sr And Fr Protocols For Ostbc Based Af-Mimo Relay System With Channel And Noise Correlations, Batu K. Chalise
Electrical and Computer Engineering Faculty Publications
This paper proposes selection relaying (SR) protocol for a cooperative multiple-input multiple-output (MIMO) relay system that consists of a direct link between a source and a destination. The system has only receive-side channel state information (CSI), spatially correlated MIMO channels, and the receiver nodes observe spatially correlated noise. The transmit nodes employ orthogonal space-time block codes (OSTBC), whereas the receiver nodes employ optimum minimum mean-square-error (MMSE) detection. The SR protocol, which transmits via the relay only when the direct link between the source and destination is in outage, is compared with the fixed relaying (FR) protocol which always uses the …
Ensemble Multi-Objective Biogeography-Based Optimization With Application To Automated Warehouse Scheduling, Haiping Ma, Shufei Su, Daniel J. Simon, Minrui Fei
Ensemble Multi-Objective Biogeography-Based Optimization With Application To Automated Warehouse Scheduling, Haiping Ma, Shufei Su, Daniel J. Simon, Minrui Fei
Electrical and Computer Engineering Faculty Publications
This paper proposes an ensemble multi-objective biogeography-based optimization (EMBBO) algorithm, which is inspired by ensemble learning, to solve the automated warehouse scheduling problem. First, a real-world automated warehouse scheduling problem is formulated as a constrained multi-objective optimization problem. Then EMBBO is formulated as a combination of several multi-objective biogeography-based optimization (MBBO) algorithms, including vector evaluated biogeography-based optimization (VEBBO), non-dominated sorting biogeography-based optimization (NSBBO), and niched Pareto biogeography-based optimization (NPBBO). Performance is tested on a set of 10 unconstrained multi-objective benchmark functions and 10 constrained multi-objective benchmark functions from the 2009 Congress on Evolutionary Computation (CEC), and compared with single constituent …
A Survey Of Applications And Human Motion Recognition With Microsoft Kinect, Roanna Lun, Wenbing Zhao
A Survey Of Applications And Human Motion Recognition With Microsoft Kinect, Roanna Lun, Wenbing Zhao
Electrical and Computer Engineering Faculty Publications
Microsoft Kinect, a low-cost motion sensing device, enables users to interact with computers or game consoles naturally through gestures and spoken commands without any other peripheral equipment. As such, it has commanded intense interests in research and development on the Kinect technology. In this paper, we present, a comprehensive survey on Kinect applications, and the latest research and development on motion recognition using data captured by the Kinect sensor. On the applications front, we review the applications of the Kinect technology in a variety of areas, including healthcare, education and performing arts, robotics, sign language recognition, retail services, workplace safety …
Biogeography-Based Optimization In Noisy Environments, Haiping Ma, Minrui Fei, Daniel J. Simon, Zixiang Chen
Biogeography-Based Optimization In Noisy Environments, Haiping Ma, Minrui Fei, Daniel J. Simon, Zixiang Chen
Electrical and Computer Engineering Faculty Publications
Biogeography-based optimization (BBO) is a new evolutionary optimization algorithm that is based on the science of biogeography. In this paper, BBO is applied to the optimization of problems in which the fitness function is corrupted by random noise. Noise interferes with the BBO immigration rate and emigration rate, and adversely affects optimization performance. We analyse the effect of noise on BBO using a Markov model. We also incorporate re-sampling in BBO, which samples the fitness of each candidate solution several times and calculates the average to alleviate the effects of noise. BBO performance on noisy benchmark functions is compared with …
Dynamic Modeling, Parameter Estimation And Control Of A Leg Prosthesis Test Robot, Hanz Richter, Daniel J. Simon, William A. Smith, Sergey Samorezov
Dynamic Modeling, Parameter Estimation And Control Of A Leg Prosthesis Test Robot, Hanz Richter, Daniel J. Simon, William A. Smith, Sergey Samorezov
Electrical and Computer Engineering Faculty Publications
Robotic testing can facilitate the development of new concepts, designs and control systems for prosthetic limbs. Human subject test clearances, safety and the lack of repeatability associated with human trials can be reduced or eliminated with automated testing, and test modalities are possible which are dangerous or inconvenient to attempt with patients. This paper describes the development, modeling, parameter estimation and control of a robot capable of reproducing two degree-of-freedom hip motion in the sagittal plane. Hip vertical displacement and thigh angle motion profiles are applied to a transfemoral prosthesis attached to the robot. A treadmill is used as walking …
Interactive Markov Models Of Evolutionary Algorithms, Haiping Ma, Daniel J. Simon, Minrui Fei, Hongwei Mo
Interactive Markov Models Of Evolutionary Algorithms, Haiping Ma, Daniel J. Simon, Minrui Fei, Hongwei Mo
Electrical and Computer Engineering Faculty Publications
This paper introduces a Markov model for evolutionary algorithms (EAs) that is based on interactions among individuals in the population. This interactive Markov model has the potential to provide tractable models for optimization problems of realistic size. We propose two simple discrete optimization search strategies with population-proportion-based selection and a modified mutation operator. The probability of selection is linearly proportional to the number of individuals at each point of the search space. The mutation operator randomly modifies an entire individual rather than a single decision variable. We exactly model these optimization search strategies with interactive Markov models. We present simulation …