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Papers by Peng-Yeng Yin

Research paper thumbnail of Scatter PSO - A more effective form of Particle Swarm Optimization

ABSTRACT A fertile complementarity exists between scatter search (SS) and particle swarm optimiza... more ABSTRACT A fertile complementarity exists between scatter search (SS) and particle swarm optimization (PSO). Shared and contrasting principles underlying these methods provide a fertile basis for combining them to create a hybrid method. We identify a specific hybrid, scatter PSO, giving rise to two variants that prove more effective than the constriction factor model of PSO. Applied to finding global minima for continuous nonlinear functions, scatter PSO not only is able to obtain better solutions to a widely used set of benchmark functions, but also proves more robust under a variety of experimental conditions.

Research paper thumbnail of A new method for multilevel thresholding using symmetry and duality of the histogram

Page 1. '1' 1994 Intemational Symposium on Speech, Image Processing and Neural Networks... more Page 1. '1' 1994 Intemational Symposium on Speech, Image Processing and Neural Networks, 13-16 April 1994, Hong Kong A NEW METHOD FOR MULTILEVEL THXESHOLDIKG USING SYMMETRY AND DUALITY OF THE HISTOGR'M ...

Research paper thumbnail of New method for ellipse detection by means of symmetry

Journal of Electronic Imaging, 1994

Research paper thumbnail of A fast iterative scheme for multilevel thresholding methods

Signal Processing, Aug 1, 1997

The previously published optimal thresholding techniques based on some objective functions are ve... more The previously published optimal thresholding techniques based on some objective functions are very efficient in the bi-level thresholding case, but they are impractical when extended to multilevel thresholding. The reason for this is their computational complexity ...

Research paper thumbnail of Organizing knowledge workforce for specified iterative software development tasks

Decision Support Systems, Mar 1, 2014

Research paper thumbnail of A hybrid particle swarm optimization algorithm for optimal task assignment in distributed systems

Computer Standards & Interfaces, Apr 1, 2006

In a distributed system, a number of application tasks may need to be assigned to different proce... more In a distributed system, a number of application tasks may need to be assigned to different processors such that the system cost is minimized and the constraints with limited resource are satisfied. Most of the existing formulations for this problem have been found to be NP-complete, and thus finding the exact solutions is computationally intractable for large-scaled problems. This paper

Research paper thumbnail of Metaheuristic Algorithms for Task Assignment in Distributed Computing Systems: A Comparative and Integrative Approach

The Open Artificial Intelligence Journal, Feb 27, 2009

Research paper thumbnail of Multi-objective task allocation in distributed computing systems by hybrid particle swarm optimization

Applied Mathematics and Computation, 2007

Research paper thumbnail of Concentration-Temporal Multilevel Calibration of Low-Cost PM2.5 Sensors

Sustainability, Aug 12, 2022

Research paper thumbnail of Modeling, Analysis, and Applications in Metaheuristic Computing: Advancements and Trends

Research paper thumbnail of Cyber Firefly Algorithm Based on Adaptive Memory Programming for Global Optimization

Applied sciences, Dec 15, 2020

Research paper thumbnail of Cyber-EDA: Estimation of Distribution Algorithms with Adaptive Memory Programming

Mathematical Problems in Engineering, 2013

Research paper thumbnail of Hybrid Ant Colony Optimization for the Channel Assignment Problem in Wireless Communication

Research paper thumbnail of Task allocation for maximizing reliability of a distributed system using hybrid particle swarm optimization

Journal of Systems and Software, May 1, 2007

Research paper thumbnail of Applying Modern Meta-Heuristics in Intelligent Systems

Applied sciences, Sep 28, 2022

Research paper thumbnail of A Bayesian Framework for Improving Clustering Accuracy of Protein Sequences Based on Association Rules

IGI Global eBooks, Jan 18, 2011

Research paper thumbnail of A Hyper-Heuristic of Artificial Bee Colony and Simulated Annealing for Optimal Wind Turbine Placement

Lecture Notes in Computer Science, 2018

Research paper thumbnail of Optimal Micro-siting Planning Considering Long-Term Electricity Demand

Lecture Notes in Computer Science, 2017

Wind farm micro-siting is to determine the optimal placement for the wind turbines such that the ... more Wind farm micro-siting is to determine the optimal placement for the wind turbines such that the cost of energy (COE) is minimal. The problem is clearly a long-term decision one, once the micro-siting was constructed, it is extremely costly to reconfigure the layout. Long-term electricity demand forecasting is a necessity for formation of governmental energy policy. We anticipate that the two problems should be considered simultaneously to create potential benefits because they have resembling properties and close supply-and-demand relationship. This paper proposes a demand-aware micro-siting system to COE minimization. The system is a holistic integration of long-term electricity demand forecasting and optimal micro-siting. A case study in central Taiwan area is conducted to validate the feasibility of the proposed system.

Research paper thumbnail of Efficient Swarm Algorithms to Constrained Resource Allocation

Research paper thumbnail of Examining the Validity of the Exemplar-Based Classifier in Identifying Decision Strategy with Eye-Movement Data

Research paper thumbnail of Scatter PSO - A more effective form of Particle Swarm Optimization

ABSTRACT A fertile complementarity exists between scatter search (SS) and particle swarm optimiza... more ABSTRACT A fertile complementarity exists between scatter search (SS) and particle swarm optimization (PSO). Shared and contrasting principles underlying these methods provide a fertile basis for combining them to create a hybrid method. We identify a specific hybrid, scatter PSO, giving rise to two variants that prove more effective than the constriction factor model of PSO. Applied to finding global minima for continuous nonlinear functions, scatter PSO not only is able to obtain better solutions to a widely used set of benchmark functions, but also proves more robust under a variety of experimental conditions.

Research paper thumbnail of A new method for multilevel thresholding using symmetry and duality of the histogram

Page 1. '1' 1994 Intemational Symposium on Speech, Image Processing and Neural Networks... more Page 1. '1' 1994 Intemational Symposium on Speech, Image Processing and Neural Networks, 13-16 April 1994, Hong Kong A NEW METHOD FOR MULTILEVEL THXESHOLDIKG USING SYMMETRY AND DUALITY OF THE HISTOGR'M ...

Research paper thumbnail of New method for ellipse detection by means of symmetry

Journal of Electronic Imaging, 1994

Research paper thumbnail of A fast iterative scheme for multilevel thresholding methods

Signal Processing, Aug 1, 1997

The previously published optimal thresholding techniques based on some objective functions are ve... more The previously published optimal thresholding techniques based on some objective functions are very efficient in the bi-level thresholding case, but they are impractical when extended to multilevel thresholding. The reason for this is their computational complexity ...

Research paper thumbnail of Organizing knowledge workforce for specified iterative software development tasks

Decision Support Systems, Mar 1, 2014

Research paper thumbnail of A hybrid particle swarm optimization algorithm for optimal task assignment in distributed systems

Computer Standards & Interfaces, Apr 1, 2006

In a distributed system, a number of application tasks may need to be assigned to different proce... more In a distributed system, a number of application tasks may need to be assigned to different processors such that the system cost is minimized and the constraints with limited resource are satisfied. Most of the existing formulations for this problem have been found to be NP-complete, and thus finding the exact solutions is computationally intractable for large-scaled problems. This paper

Research paper thumbnail of Metaheuristic Algorithms for Task Assignment in Distributed Computing Systems: A Comparative and Integrative Approach

The Open Artificial Intelligence Journal, Feb 27, 2009

Research paper thumbnail of Multi-objective task allocation in distributed computing systems by hybrid particle swarm optimization

Applied Mathematics and Computation, 2007

Research paper thumbnail of Concentration-Temporal Multilevel Calibration of Low-Cost PM2.5 Sensors

Sustainability, Aug 12, 2022

Research paper thumbnail of Modeling, Analysis, and Applications in Metaheuristic Computing: Advancements and Trends

Research paper thumbnail of Cyber Firefly Algorithm Based on Adaptive Memory Programming for Global Optimization

Applied sciences, Dec 15, 2020

Research paper thumbnail of Cyber-EDA: Estimation of Distribution Algorithms with Adaptive Memory Programming

Mathematical Problems in Engineering, 2013

Research paper thumbnail of Hybrid Ant Colony Optimization for the Channel Assignment Problem in Wireless Communication

Research paper thumbnail of Task allocation for maximizing reliability of a distributed system using hybrid particle swarm optimization

Journal of Systems and Software, May 1, 2007

Research paper thumbnail of Applying Modern Meta-Heuristics in Intelligent Systems

Applied sciences, Sep 28, 2022

Research paper thumbnail of A Bayesian Framework for Improving Clustering Accuracy of Protein Sequences Based on Association Rules

IGI Global eBooks, Jan 18, 2011

Research paper thumbnail of A Hyper-Heuristic of Artificial Bee Colony and Simulated Annealing for Optimal Wind Turbine Placement

Lecture Notes in Computer Science, 2018

Research paper thumbnail of Optimal Micro-siting Planning Considering Long-Term Electricity Demand

Lecture Notes in Computer Science, 2017

Wind farm micro-siting is to determine the optimal placement for the wind turbines such that the ... more Wind farm micro-siting is to determine the optimal placement for the wind turbines such that the cost of energy (COE) is minimal. The problem is clearly a long-term decision one, once the micro-siting was constructed, it is extremely costly to reconfigure the layout. Long-term electricity demand forecasting is a necessity for formation of governmental energy policy. We anticipate that the two problems should be considered simultaneously to create potential benefits because they have resembling properties and close supply-and-demand relationship. This paper proposes a demand-aware micro-siting system to COE minimization. The system is a holistic integration of long-term electricity demand forecasting and optimal micro-siting. A case study in central Taiwan area is conducted to validate the feasibility of the proposed system.

Research paper thumbnail of Efficient Swarm Algorithms to Constrained Resource Allocation

Research paper thumbnail of Examining the Validity of the Exemplar-Based Classifier in Identifying Decision Strategy with Eye-Movement Data

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