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检索条件"主题词=Constraint Optimization Problem"
18 条 记 录,以下是11-20 订阅
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Boolean-Based Dependency Management for the Eclipse Ecosystem
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INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS 2018年 第1期27卷 1840003-1840003页
作者: Le Berre, Daniel Rapicault, Pascal Univ Artois CNRS CRIL UMR 8188 Rue Jean Souvraz SP18 F-62307 Lens France Rapicorp Inc Ottawa ON Canada
In June 2008, the Eclipse open platform released a new dependency management system called p2. That system was based on the translation of the dependency management problem into a pseudo-Boolean optimization problem, ... 详细信息
来源: 评论
Hybrid genetic algorithm for engineering design problems
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CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS 2017年 第1期20卷 263-275页
作者: Yan, Xuesong Liu, Hanmin Zhu, Zhixin Wu, Qinghua China Univ Geosci Sch Comp Sci Wuhan 430074 Hubei Peoples R China Wuhan Inst Ship Bldg Technol Wuhan 430050 Hubei Peoples R China WuHan Inst Technol Fac Comp Sci & Engn Wuhan 430074 Hubei Peoples R China
Genetic algorithm has made lots of achievements in the aspect of solving constrained optimization problems, but engineering design problem is one of typical optimization problems for complicated constraint condition a... 详细信息
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Multi-Target Engagement in Complex Mobile Surveillance Sensor Networks
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UNMANNED SYSTEMS 2017年 第1期5卷 31-43页
作者: Semnani, Samaneh Hosseini Basir, Otman A. Univ Waterloo Elect & Comp Engn Dept Waterloo ON Canada
Efficient use of the network's resources to collect information about objects (events) in a given volume of interest (VOI) is a key challenge in large-scale sensor networks. Multi-sensor multi-target tracking in s... 详细信息
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Target to sensor allocation: A hierarchical dynamic Distributed constraint optimization approach
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COMPUTER COMMUNICATIONS 2013年 第9期36卷 1024-1038页
作者: Semnani, Samaneh Hosseini Basir, Otman A. Univ Waterloo Dept Elect & Comp Engn Waterloo ON N2L 3G1 Canada
Distributed target allocation and tracking is an important research problem. This problem is complex but has many applications in various domains, including, pervasive computing, surveillance and military systems. In ... 详细信息
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An unsupervised machine learning method for assessing quality of tandem mass spectra
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PROTEOME SCIENCE 2012年 第1-Sup期10卷 S12-S12页
作者: Lin, Wenjun Wang, Jianxin Zhang, Wen-Jun Wu, Fang-Xiang Univ Saskatchewan Div Biomed Engn Saskatoon SK S7N 5A9 Canada Cent S Univ Sch Informat Sci & Engn Changsha Hunan Peoples R China Univ Saskatchewan Dept Mech Engn Saskatoon SK S7N 5A9 Canada
Background: In a single proteomic project, tandem mass spectrometers can produce hundreds of millions of tandem mass spectra. However, majority of tandem mass spectra are of poor quality, it wastes time to search them... 详细信息
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constraint Handling Using Tournament Selection: Abductive Inference in Partly Deterministic Bayesian Networks
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EVOLUTIONARY COMPUTATION 2009年 第1期17卷 55-88页
作者: Galan, Severino F. Mengshoel, Ole J. Univ Nacl Educ Distancia Dept Artificial Intelligence Madrid 28040 Spain NASA Ames Res Ctr CMU Moffett Field CA 94035 USA
constraints occur in many application areas of interest to evolutionary computation. The area considered here is Bayesian networks (BNs), which is a probability-based method for representing and reasoning with uncerta... 详细信息
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CALL ADMISSION CONTROL COMBINED WITH RESOURCE ALLOCATION IN 3G WIRELESS NETWORKS
CALL ADMISSION CONTROL COMBINED WITH RESOURCE ALLOCATION IN ...
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IEEE International Conference on Communications Technology and Applications
作者: Yang, Xu Bigham, John Cuthbert, Laurie Macao Polytech Inst MPI QMUL Informat Syst Res Ctr A313Rua Luis Gonzaga Gomes Macau Peoples R China Queen Mary Univ London Sch Elect Engn & Comp Sci London E1 4NS England
This paper propose a novel learning approach that applies NeuroEvolution of Augmenting Topology (NEAT) based learning algorithm to resolve Call Admission Control (CAC) combined with resource allocation in adaptive mul... 详细信息
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CALL ADMISSION CONTROL COMBINED WITH RESOURCE ALLOCATION IN 3G WIRELESS NETWORKS
CALL ADMISSION CONTROL COMBINED WITH RESOURCE ALLOCATION IN ...
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2009 IEEE International Conference on Communication Technology and Applications(ICCTA2009)
作者: John Bigham Laurie Cuthbert Queen Mary University of London School of Electronic Engineering and Computer ScienceMile End RoadLondon E1 4NSU.K.
This paper propose a novel learning approach that applies NeuroEvolution of Augmenting Topology (NEAT) based learning algorithm to resolve Call Admission Control(CAC) combined with resource allocation in adaptive mult... 详细信息
来源: 评论