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检索条件"主题词=artificial bee colony algorithm"

共 1602 条记录，以下是411-420 订阅

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Cooperative Path Planning for Multi-USV Based on Improved artificial bee colony algorithm 10

Cooperative Path Planning for Multi-USV Based on Improved Ar...

引用

10th International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR) - Remote Sensing Image Processing, Geographic Information Systems, and Other Applications

作者： Cao, Lu Chen, Qiwei Yichang Testing Tech Res Inst Yichang 443003 Peoples R China

ISBN: (数字)9781510617261

ISBN: (纸本)9781510617261;9781510617254

Due to the complex constraints, more uncertain factors and critical real-time demand of path planning for multiple unmanned surface vehicle (multi-USV), an improved artificial bee colony (I-ABC) algorithm were proposed to solve the model of cooperative path planning for multi-USV. First the Voronoi diagram of battle field space is conceived to generate the optimal area of USVs paths. Then the chaotic searching algorithm is used to initialize the collection of paths, which is regard as foods of the ABC algorithm. With the limited data, the initial collection can search the optimal area of paths perfectly. Finally simulations of the multi-USV path planning under various threats have been carried out. Simulation results verify that the I-ABC algorithm can improve the diversity of nectar source and the convergence rate of algorithm. It can increase the adaptability of dynamic battlefield and unexpected threats for USV.

关键词： Unmanned Surface Vehicle artificial bee colony algorithm improved Voronoi diagram path planning chaotic searching

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Dynamic Economic Dispatch for 150 kV Sulselbar Power Generation Systems Using artificial bee colony algorithm

Dynamic Economic Dispatch for 150 kV Sulselbar Power Generat...

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International Conference on Information and Communications Technology (ICOIACT)

作者： Haripuddin Ansar Suyuti Sri Mawar Said Yusri Syam Akil Electrical Engineering Department Hasanuddin University Makassar Indonesia

Managing power generation is very important in the process of distributing electrical energy to consumers to get optimal power generation in the system with minimum cost. In this study, an artificial bee colony algorithm is proposed to get the best economic dispatch solution for the 150 kV Sulselbar electric system in Indonesia by considering losses, generation limits and ramp rate for each unit. Simulation results from the same system are compared with the Lagrange method which only considers the generator power limit. Besides that, voltage stability of the system is also evaluated using the L index including the loading margin on buses which are considered weak. Results have shown the proposed method (artificial bee colony algorithm) is able to provide the best solution for dynamic economic dispatch to the observed system.

关键词： Generators Power generation Economics Fuels artificial bee colony algorithm Stability criteria Power system stability

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Applying a binary artificial bee colony algorithm to the max-cut problem

Applying a binary artificial bee colony algorithm to the max...

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International Congress on Image and Signal Processing, BioMedical Engineering and Informatics

作者： Xiang Chen Geng Lin Meiqin Xu School of Mathematics and Data Science Minjiang University Fuzhou Fujian China

The max-cut problem (MCP) has many applications in different areas. This paper develops a hybrid binary artificial bee colony algorithm (HBABC) to solve MCP. First, a surjection mapping function is used to map a real vector to a binary vector. Then, the basic artificial bee colony algorithm is modified for solving the max-cut problem. In addition, to improve the performance of ABC, a local search procedure is employed. The HBABC is tested on 24 instances from the literature. Numerical results indicate that the HBABC is very efficient.

关键词： Optimization Heuristic algorithms Sociology Statistics artificial bee colony algorithm Signal processing algorithms Search problems

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An artificial bee colony algorithm to Solve the Single Row Layout Problem with Clearances 38th

An Artificial Bee Colony Algorithm to Solve the Single Row L...

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38th International Conference on Information Systems Architecture and Technology (ISAT)

作者： Manzke, Laura Keller, Birgit Buscher, Udo Tech Univ Dresden Fac Business & Econ Dresden Germany

ISBN: (纸本)9783319672236;9783319672229

The single row layout problem (SRLP) is defined as the optimal arrangement of n machines with varying length along a straight line in order to minimize the weighted sum of distances between all machine pairs. In this paper, an artificial bee colony (ABC) metaheuristic is proposed to solve the SRLP considering sequence-dependent, asymmetric clearances for the first time. The algorithm is evaluated on several benchmark instances selected from literature as well as random generated ones involving up to n = 60 machines. By comparing the computational results, either to optimal or best known solutions, it is revealed that our ABC performs efficiently, especially for instances with sequence-dependent asymmetric clearances.

关键词： Single row layout artificial bee colony algorithm Asymmetric clearances Machine layout problem Combinatorial optimization

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Application of artificial bee colony algorithm based on Co-evolution in automatic layout of Building multiple Pipelines 10

Application of artificial Bee Colony algorithm based on Co-e...

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10th International Conference on Modelling, Identification and Control (ICMIC)

作者： Wang, Chang-tao Wang, Zhe Han, Zhong-hua Shenyang Jianzhu Univ Fac Informat & Control Engn Shenyang Peoples R China Shenyang Jianzhu Univ Dept Elect & Intelligent Bldg Shenyang Peoples R China Shenyang Jianzhu Univ Sch Informat & Control Engn Shenyang Peoples R China

ISBN: (纸本)9781538654163

In order to solve the problem of multi-pipeline layout in building environment, an initial path pipeline based on probabilistic selection generation is designed and solved with co-evolution and artificial bee colony algorithm. This paper presents the application of artificial bee colony co-evolution algorithm in multi-pipeline automatic layout. Each pipeline corresponds to a population. On the one hand, it evolves independently;at the same time, it adopts cooperative coevolution to optimize the pipeline layout in the building model. The resulting simulation solutions show that the multi-pipeline automatic layout solved by this algorithm is suitable for the application in the building environment model.

关键词： Probability selection Initial pipeline path Coevolution artificial bee colony algorithm

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AN artificial bee colony algorithm FOR SOLVING HYDRAULIC SHAKING TABLE ACCELERATION HARMONIC ESTIMATION PROBLEM 47

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InterNoise/ASME Noise Control and Acoustics Division Conference (NCAD 2018)

作者： Yao, Jianjun Wan, Zhenshuai Fu, Yu Sheng, Tang Yang, Ming Harbin Engn Univ Harbin Heilongjiang Peoples R China

ISBN: (纸本)9780791851425

Hydraulic shaking table is an important device to stimulate vibration environment, which has been widely applied to seismic simulation, aerospace and construction engineering. However, the response from the hydraulic shaking table are not considered sinusoid waveform when corresponds to a sinusoidal acceleration excitation due to the presence of harmonic distortion. This work presents an approach based on the artificial bee colony (ABC) algorithm for the harmonic component estimation in a hydraulic shaking table. The results demonstrate that the proposed method can precisely identify the harmonic component and it has great advantage of convergence as well as real-time performance.

关键词： Hydraulic shaking table nonlinear factors artificial bee colony algorithm harmonic estimation

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A Variable-step Two Synchronous artificial bee colony algorithm for mobile Robot Path Planning

A Variable-step Two Synchronous Artificial Bee Colony Algori...

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Chinese Automation Congress (CAC)

作者： Zhang, Qiang Wei, Sun Xue, Min Jin, Xi Jin, Can Li, Wenlin Hunan Univ Coll Elect & Informat Engn Changsha Hunan Peoples R China Hunan Univ Coll Elect & Informat Engn Changsha Hunan Peoples R China

ISBN: (纸本)9781728113128

In this paper, an improved artificial bee colony (ABC) algorithm is proposed to solve the problem of mobile robot's path planning. At first, the synchronization mechanism is proposed to accelerate the slow convergence rate of the standard artificial colony algorithm. Second, because the standard artificial bee colony algorithm is easy to fall into the local optimal solution. An adaptive variable step size search strategy is designed to adjust the search step to jump out of the local optimal solution in each search process. In the simulation experiments, the improved bee colony algorithm is analyzed and compared with the standard artificial bee colony algorithm in different map scale and obstacle rate. From the experimental results, it can be drawn that the algorithm of this paper can effectively accelerate the convergence speed, smooth the search path and reduce the path length.

关键词： mobile robot path planning artificial bee colony algorithm synchronization mechanism adaptive variable step size search strategy

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Classification of binary problems with SVM and a Mixed artificial bee colony algorithm 3

Classification of binary problems with SVM and a Mixed Artif...

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3rd Conference on Swarm Intelligence and Evolutionary Computation (CSIEC)

作者： Barani, Fatemeh Mirhosseini, Mina Higher Educ Complex Bam Comp Engn Dept Bam Iran

ISBN: (纸本)9781538649787

the feature selection is the one of important data preprocessing methods in classification problems. The more evolutionary algorithms have been used to reduce the features. In this paper, a new approach is proposed based on the support vector machine and the artificial bee colony algorithm, called MABC-SVM, to improve the accuracy classification using an effective subset of features. In order to simultaneously optimize the parameters of support vector machine and select an effective set of input features, a hybrid algorithm called Mixed-ABC has been proposed that combines the binary ABC algorithm with continuous ABC algorithm. The evaluation results on a number of data sets in the UCI show that in most cases the MABC-SVM presents the better results than other classification methods.

关键词： artificial bee colony algorithm Support Vector Machine Classification Feature Selection

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Sparse FIR Filter Design Using artificial bee colony algorithm 61

Sparse FIR Filter Design Using Artificial Bee Colony Algorit...

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61st IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)

作者： Raju, Rija Kwan, Hon Keung Jiang, Aimin Univ Windsor Dept Elect & Comp Engn 401 Sunset Ave Windsor ON N9B 3P4 Canada Hohai Univ Coll Internet Things Engn 200 Jinling North Rd Changzhou 213022 Jiangsu Peoples R China

ISBN: (纸本)9781538673928

In this paper, sparse linear-phase FIR digital filters are designed using artificial bee colony (ABC) algorithm. Sparse digital filters can be used in applications where computational cost and complexities are of concern as zero-valued coefficients eliminate multiplications required for implementation. In this method, sparse digital filters are designed using minimax optimization by ABC algorithm and successive elimination. In contrast to methods which minimize insignificant coefficient values, this method eliminates insignificant coefficients by setting them to zero. The sparse linear-phase FIR filters designed using ABC algorithm are compared to the partial l(1)-norm optimization design, the minimum increase design, and the smallest coefficient design to illustrate the effectiveness of each design method.

关键词： Sparse linear phase FIR digital filter design artificial bee colony algorithm constrained optimization minimax design successive elimination

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A Design Approach of Quadrature Mirror Filter Banks Using Improved Version of artificial bee colony algorithm

A Design Approach of Quadrature Mirror Filter Banks Using Im...

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International Conference on Computing and Networking Technology (ICCNT)

作者： Kirti Pathak O. P. Sahu National Institute of Technology Kurukshetra Haryana India Natioanl Institute of Technology Kurukshetra Haryana India

This proposed paper presents a design approach for two-channel quadrature mirror filter (QMF) bank using improved artificial bee colony algorithm. artificial bee colony algorithm has been modified by fine tuning some existing control parameters. Here QMF bank design is used for a lowpass prototype FIR filter design problem. The objective function is the minimizing of mean square error of magnitude responses between desired and designed low-pass prototype FIR filters. The objective function is minimized by using the modified ABC algorithm yielding improved results. Two design examples are also presented to show the efficiency of the proposed method over the existing methods in the literature. The results of the proposed design approach have also been compared with that of the produced results in the literature.

关键词： Filter banks Finite impulse response filters Distortion Mathematical model Mirrors artificial bee colony algorithm

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