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International Conference on Advanced Materials and Computer Science

作者： Zeng, Zhi-Gao Ding, Li-Xin Yi, Sheng-Qiu Zeng, San-You Qiu, Zi-Hua Wuhan Univ State Key Lab Software Engn Wuhan 430072 Peoples R China Hunan Univ Technol Sch Comp Commun Zhuzhou 412008 Hunan Peoples R China China Univ Geosci Dept Comp Sci Wuhan 430074 Peoples R China Hunan Inst Sci & Technol Coll Comp Sci Zhuzhou 414006 Hunan Peoples R China

ISBN: (纸本)9783037850978

In order to improve the accuracy of the image segmentation in video surveillance sequences and to overcome the limits of the traditional clustering algorithms that can not accurately model the image data sets which Contains noise data, the paper presents an automatic and accurate video image segmentation algorithm, according to the spatial properties, which uses the Gaussian mixture models to segment the image. But the expectation-maximization algorithm is very sensitive to initial values, and easy to fall into local optimums, so the paper presents a differential evolution-based parameters estimation for Gaussian mixture models. The experiment result shows that the segmentation accuracy has been improved greatly than by the traditional segmentation algorithms.

关键词： differential evolution algorithm Gaussian mixture models Video image Cluster

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A New Uncertain Programming Model for Grain Supply Chain Design

A New Uncertain Programming Model for Grain Supply Chain Des...

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The Eleventh International Conference on Information and Management Sciences(IMS2012) in Celebrating of the 60th Birthday of Prof.Shu-Cherng Fang

作者： Sibo Ding School of Management,Henan university of technology,Zhengzhou 450001,China

Grain supply chain design is one of the important and challenging problems in the field of agri-food supply chain *** paper presents an uncertain grain supply chain model in which the quantity of grain sold by famers,setup costs of factories and stores are uncertain variables rather than random variables and fuzzy *** model can be transformed into a deterministic form by taking operational law of uncertainty ***,a hybrid intelligent algorithm to solve this model is given by integrating 99-method and differential evolution ***,a numerical example is presented in order to illustrate the effectiveness of hybrid intelligent algorithm.

关键词： grain supply chain uncertain programming uncertainty theory differential evolution algorithm

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An Empirical Study on Parameter Selection for Multiobjective Optimization algorithms Using differential evolution

An Empirical Study on Parameter Selection for Multiobjective...

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IEEE Symposium on differential evolution (SDE)

作者： Reynoso-Meza, Gilberto Sanchis, Javier Blasco, Xavier Martinez, Miguel Univ Politecn Valencia Inst Univ Automat & Informat Ind Valencia 46022 Spain

ISBN: (纸本)9781612840727

In this work, an empirical study on multiobjective optimization algorithms based on differential evolution (DE) algorithm is performed. The study focuses on getting good initial choices for evolutionary parameters for DE algorithm to tackle the multiobjective problem of PI controller tuning. This is an important issue in the field of control engineering, because the PI-PID controller remains a reliable digital solution for industrial processes. This study will bring an insight to the capabilities of a basic DE algorithm for multiobjective optimization, which can be the basis for more complex approaches using this evolutionary technique.

关键词： Multiobjective optimization controller tuning differential evolution algorithm parameter selection

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A differential evolution-Based Routing algorithm for Environmental Monitoring Wireless Sensor Networks

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SENSORS 2010年第6期10卷 5425-5442页

作者： Li, Xiaofang Xu, Lizhong Wang, Huibin Song, Jie Yang, Simon X. Hohai Univ Coll Comp & Informat Nanjing Peoples R China Univ Guelph Sch Engn Guelph ON N1G 2W1 Canada

The traditional Low Energy Adaptive Cluster Hierarchy (LEACH) routing protocol is a clustering-based protocol. The uneven selection of cluster heads results in premature death of cluster heads and premature blind nodes inside the clusters, thus reducing the overall lifetime of the network. With a full consideration of information on energy and distance distribution of neighboring nodes inside the clusters, this paper proposes a new routing algorithm based on differential evolution (DE) to improve the LEACH routing protocol. To meet the requirements of monitoring applications in outdoor environments such as the meteorological, hydrological and wetland ecological environments, the proposed algorithm uses the simple and fast search features of DE to optimize the multi-objective selection of cluster heads and prevent blind nodes for improved energy efficiency and system stability. Simulation results show that the proposed new LEACH routing algorithm has better performance, effectively extends the working lifetime of the system, and improves the quality of the wireless sensor networks.

关键词： environmental monitoring meteorological and hydrological telemetry Wireless Sensor Networks differential evolution algorithm LEACH protocol

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Modified differential evolution algorithm and its application in function optimization

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Wuhan Ligong Daxue Xuebao/Journal of Wuhan University of Technology 2007年第4期29卷 125-128页

作者： Hu, Zhong-Bo Xiong, Sheng-Wu Hu, Fu-Gao Su, Qing-Hua School of Computer Science and Technology Wuhan University of Technology Wuhan 430070 China Department of Mathematics Xiaogan University Xiaogan 432100 China

A modified differential evolution algorithm was presented. In the proposed algorithm, the difference vector, which is employed in mutating each individual by simple differential evolution algorithm, was recorded. Each mutated individual was taken as the center of a neighborhood, the corresponding difference vector as radius. The modification increased the local searching ability of differential evolution algorithm. The numerical experiments and simulations of typical multimodal function optimization showed that the modified algorithm converged faster than differential evolution algorithm, and also held the good global searching ability.

关键词： differential evolution algorithm Function optimization Mutation Self-adaptive

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Research on Hybrid evolutionary algorithms with differential evolution and GUO Tao algorithm Based on Orthogonal Design

Research on Hybrid Evolutionary Algorithms with Differential...

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6th International Conference on Intelligent Computing

作者： Zhao, Zhan-Fang Liu, Kun-Qi Li, Xia Zhang, You-Hua Wang, Shu-Lin Shijiazhuang Univ Econ Dept Comp Sci Shijiazhuang 050031 Peoples R China China Univ Geosci Sch Comp Wuhan 430074 Peoples R China Hunan Univ Sch Comp & Commun Changsha 410082 Hunan Peoples R China

ISBN: (纸本)9783642149214

This paper proposes an orthogonal mutation technology which combines the orthogonal initialization technology and the orthogonal crossover technique They are called the orthogonal processing technologies The fusion of the differential evolution algorithm the GuoTao operator and the orthogonal processing technology has formed several different hybrid evolutionary algorithms The experimental results show that these new algorithms display the good performance in the solution precision the stability and the convergence

关键词： differential evolution algorithm GuoTao operator orthogonal de sign orthogonal crossover orthogonal mutation hybrid evolutionary algorithm

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A Featureless Approach to 3D Polyhedral Building Modeling from Aerial Images

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SENSORS 2011年第1期11卷 228-259页

作者： Hammoudi, Karim Dornaika, Fadi Univ Paris Est Inst Geog Natl F-94160 St Mande France Univ Basque Country Dept Comp Sci & Artificial Intelligence Donostia San Sebastian 20018 Spain Basque Fdn Sci IKERBASQUE Bilbao 48011 Spain

This paper presents a model-based approach for reconstructing 3D polyhedral building models from aerial images. The proposed approach exploits some geometric and photometric properties resulting from the perspective projection of planar structures. Data are provided by calibrated aerial images. The novelty of the approach lies in its featurelessness and in its use of direct optimization based on image rawbrightness. The proposed framework avoids feature extraction and matching. The 3D polyhedral model is directly estimated by optimizing an objective function that combines an image-based dissimilarity measure and a gradient score over several aerial images. The optimization process is carried out by the differential evolution algorithm. The proposed approach is intended to provide more accurate 3D reconstruction than feature-based approaches. Fast 3D model rectification and updating can take advantage of the proposed method. Several results and evaluations of performance from real and synthetic images show the feasibility and robustness of the proposed approach.

关键词： 3D building reconstruction 3D city modeling 3D polyhedral building model aerial images featureless image registration differential evolution algorithm

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Short-term wind power forecasting using ridgelet neural network

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ELECTRIC POWER SYSTEMS RESEARCH 2011年第12期81卷 2099-2107页

作者： Amjady, Nima Keynia, Farshid Zareipour, Hamidreza Univ Calgary Schulich Sch Engn Dept Elect & Comp Engn Calgary AB Canada Semnan Univ Dept Elect Engn Semnan Iran

Rapid growth of wind power generation in many countries around the world in recent years has highlighted the importance of wind power prediction. However, wind power is a complex signal for modeling and forecasting. Despite the performed research works in the area, more efficient wind power forecast methods are still demanded. In this paper, a new prediction strategy is proposed for this purpose. The forecast engine of the proposed strategy is a ridgelet neural network (RNN) owning ridge functions as the activation functions of its hidden nodes. Moreover, a new differential evolution algorithm with novel crossover operator and selection mechanism is presented to train the RNN. The efficiency of the proposed prediction strategy is shown for forecasting of both wind power output of wind farms and aggregated wind generation of power systems. (C) 2011 Elsevier B.V. All rights reserved.

关键词： Wind power forecast Ridgelet neural network differential evolution algorithm

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A New Framework for Stereo Sensor Pose Through Road Segmentation and Registration

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IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 2011年第4期12卷 954-966页

作者： Dornaika, Fadi Alvarez, Jose M. Sappa, Angel D. Lopez, Antonio M. Univ Basque Country San Sebastian 20018 Spain IKERBASQUE Fdn San Sebastian 20018 Spain Univ Autonoma Barcelona Comp Vis Ctr Bellaterra 08193 Spain

This paper proposes a new framework for real-time estimation of the onboard stereo head's position and orientation relative to the road surface, which is required for any advanced driver-assistance application. This framework can be used with all road types: highways, urban, etc. Unlike existing works that rely on feature extraction in either the image domain or 3-D space, we propose a framework that directly estimates the unknown parameters from the stream of stereo pairs' brightness. The proposed approach consists of two stages that are invoked for every stereo frame. The first stage segments the road region in one monocular view. The second stage estimates the camera pose using a featureless registration between the segmented monocular road region and the other view in the stereo pair. This paper has two main contributions. The first contribution combines a road segmentation algorithm with a registration technique to estimate the online stereo camera pose. The second contribution solves the registration using a featureless method, which is carried out using two different optimization techniques: 1) the differential evolution algorithm and 2) the Levenberg-Marquardt (LM) algorithm. We provide experiments and evaluations of performance. The results presented show the validity of our proposed framework.

关键词： differential evolution algorithm featureless image registration illuminant-invariant image non-linear optimization on-board stereo camera pose road detection road segmentation

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Designing Delay Lines Based on the SD/DE algorithm for Transmitted-Reference Ultra-Wideband Systems

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CIRCUITS SYSTEMS AND SIGNAL PROCESSING 2011年第6期30卷 1313-1328页

作者： Xu, Zhexin Wang, Lin Chen, Guanrong Xiamen Univ Dept Commun Engn Xiamen Fujian Peoples R China City Univ Hong Kong Dept Elect Engn Hong Kong Hong Kong Peoples R China

This paper studies the design problem of delay lines in Transmitted-Reference Ultra-Wideband (TR-UWB) systems based on a new evolutionary scheme named Stepping-Dichotomy/differential-evolution (SD/DE) algorithm. The group delay response, required for the pass-band as an objective of the delay line, is approximated by using a new nonlinear optimization method under a maximin criterion. The procedure is rather generic, applicable to arbitrary bandwidths, delays, and distortions. Moreover, the approach is very convenient for calculating the least-order delay line, therefore especially suitable for real applications.

关键词： Delay line Maximin criterion Stepping Dichotomy differential evolution algorithm TR-UWB system

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