Search Results - "Kao, Yucheng"
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A sensor deployment approach using glowworm swarm optimization algorithm in wireless sensor networks
Published in Expert systems with applications (15-09-2011)“…► We present a sensor deployment scheme based on glowworm swarm optimization (GSO) to enhance the coverage after an initial random deployment of the sensors. ►…”
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Journal Article -
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A new ant colony optimization algorithm for the multidimensional Knapsack problem
Published in Computers & operations research (01-08-2008)“…The paper proposes a new ant colony optimization (ACO) approach, called binary ant system (BAS), to multidimensional Knapsack problem (MKP). Different from…”
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A PSO-based approach to cell formation problems with alternative process routings
Published in International journal of production research (01-08-2012)“…Group technology (GT) has been extensively applied to cellular manufacturing system (CMS) design for decades due to many benefits such as decreased number of…”
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Optimal chiller loading by differential evolution algorithm for reducing energy consumption
Published in Energy and buildings (01-02-2011)“…This study employs differential evolution algorithm to solve the optimal chiller loading problem for reducing energy consumption. To testify the performance of…”
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Data aggregation in wireless sensor networks using ant colony algorithm
Published in Journal of network and computer applications (01-11-2008)“…Data aggregation is important in energy constraint wireless sensor networks which exploits correlated sensing data and aggregates at the intermediate nodes to…”
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Ant colony optimization based sensor deployment protocol for wireless sensor networks
Published in Expert systems with applications (01-06-2011)“…► We consider the problem of sensor deployment to achieve complete coverage of the service region and maximize the lifetime of the network. ► We model the…”
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A differential evolution approach for machine cell formation
Published in 2008 IEEE International Conference on Industrial Engineering and Engineering Management (01-12-2008)“…This paper presents a new approach based on differential evolution algorithms to solve cell formation problems. The proposed approach handles the problem in a…”
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Conference Proceeding -
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Automatic clustering for generalised cell formation using a hybrid particle swarm optimisation
Published in International journal of production research (18-06-2014)“…This paper considers the cell formation (CF) problem in which parts have alternative process routings and the number of machine cells is not known a priori…”
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Combining K-means and particle swarm optimization for dynamic data clustering problems
Published in 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems (01-11-2009)“…This paper presents a new dynamic data clustering algorithm based on K-means and combinatorial particle swarm optimization, called KCPSO. Unlike the…”
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Conference Proceeding -
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A differential evolution fuzzy clustering approach to machine cell formation
Published in International journal of advanced manufacturing technology (01-04-2013)“…Searching for similar parts and associated machines plays a crucial role in machine cell design. The aim of this paper is to propose a new fuzzy clustering…”
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Bacterial Foraging Optimization Approach to Portfolio Optimization
Published in Computational economics (01-12-2013)“…In this paper we propose a heuristic approach based on bacterial foraging optimization (BFO) in order to find the efficient frontier associated with the…”
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An Ant Colony Algorithm for Data Aggregation in Wireless Sensor Networks
Published in 2007 International Conference on Sensor Technologies and Applications (SENSORCOMM 2007) (01-10-2007)“…This paper considers the problem of constructing data aggregation tree in a wireless sensor network for a group of source nodes to send sensory data to a…”
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Conference Proceeding -
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Fuzzy Clustering by Differential Evolution
Published in 2008 Eighth International Conference on Intelligent Systems Design and Applications (01-11-2008)“…A fuzzy clustering algorithm based on differential evolution (FCDE) is presented in this paper in order to overcome the disadvantages of traditional fuzzy…”
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Conference Proceeding