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检索条件"主题词=evolutionary multiobjective optimization algorithms"
9 条 记 录,以下是1-10 订阅
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Boosting Indicator-based Selection Operators for evolutionary multiobjective optimization algorithms
Boosting Indicator-based Selection Operators for Evolutionar...
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23rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI)
作者: Phan, Dung H. Suzuki, Junichi Univ Massachusetts Dept Comp Sci Boston MA 02125 USA
Various evolutionary multiobjective optimization algorithms (EMOAs) have adopted indicator-based selection operators that augment or replace dominance ranking with quality indicators. A quality indicator measures the ... 详细信息
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Leveraging Indicator-based Ensemble Selection in evolutionary multiobjective optimization algorithms  12
Leveraging Indicator-based Ensemble Selection in Evolutionar...
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14th International Conference on Genetic and evolutionary Computation Conference (GECCO)
作者: Phan, Dung H. Suzuki, Junichi Hayashi, Isao Univ Massachusetts Dept Comp Sci Boston MA 02125 USA
Various evolutionary multiobjective optimization algorithms (EMOAs) have replaced or augmented the notion of dominance with quality indicators and leveraged them in selection operators. Recent studies show that indica... 详细信息
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A Service-Oriented Architecture for Body Area NanoNetworks with Neuron-based Molecular Communication
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MOBILE NETWORKS & APPLICATIONS 2014年 第6期19卷 707-717页
作者: Suzuki, Junichi Balasubramaniam, Sasitharan Pautot, Sophie Meza, Victor Didier Perez Koucheryavy, Yevgeni Univ Massachusetts Dept Comp Sci Boston MA 02125 USA Tampere Univ Technol Dept Elect & Commun Engn FIN-33101 Tampere Finland Ctr Regenerat Therapies Dresden Dresden Germany
Molecular communication provides communication and networking capabilities for nanomachines such as biosensors and bio-actuators to form and enable Body Area NanoNetworks (BANNs). This paper considers neuron-based mol... 详细信息
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multiobjective ResNet pruning by means of EMOAs for remote sensing scene classification
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NEUROCOMPUTING 2020年 第0期381卷 298-305页
作者: Liu, Xuning Zhou, Yong Zhao, Jiaqi Yao, Rui Liu, Bing Ma, Ding Zheng, Yi China Univ Min & Technol Mine Digitizat Engn Res Ctr Sch Comp Sci & Technol Minist Educ Peoples Republ China Xuzhou 221116 Jiangsu Peoples R China
Convolutional neural networks have achieved remarkable success in the field of computer vision. However, due to their high storage and expensive computations, recently, there has been a lot of work focusing on reducin... 详细信息
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Performance Comparison of multiobjective evolutionary algorithms on Problems with Partially Different Properties from Popular Test Suites
Performance Comparison of Multiobjective Evolutionary Algori...
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IEEE International Conference on Systems, Man, and Cybernetics (SMC)
作者: Matsumoto, Takashi Masuyama, Naoki Nojima, Yusuke Ishibuchi, Hisao Osaka Prefecture Univ Dept Comp Sci & Intelligent Syst Sakai Osaka 5998531 Japan Southern Univ Sci & Technol SUSTech Dept Comp Sci & Engn Shenzhen Peoples R China
A multiobjective evolutionary Algorithm (MOEA) is one of the effective approaches for solving multiobjective optimization Problems (MOPs). The performance of MOEAs is evaluated mainly by scalable MOP test suites where... 详细信息
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A multiobjective Test Suite with Hexagon Pareto Fronts and Various Feasible Regions
A Multiobjective Test Suite with Hexagon Pareto Fronts and V...
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IEEE Congress on evolutionary Computation (IEEE CEC)
作者: Matsumoto, Takashi Masuyama, Naoki Nojima, Yusuke Ishibuchi, Hisao Osaka Prefecture Univ Grad Sch Engn Dept Comp Sci & Intelligent Syst Sakai Osaka 5998531 Japan Southern Univ Sci & Technol Shenzhen Key Lab Computat Intelligence Univ Key Lab Evolving Intelligent Syst Guangdong Dept Comp Sci & Engn Shenzhen Guangdong Peoples R China
The performance of a multiobjective evolutionary Algorithm (MOEA) for many-objective optimization is often evaluated by multiobjective scalable test problems like DTLZ and WFG problems. This is because the scalable te... 详细信息
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evolutionary Multi-objective optimization algorithms with Probabilistic Representation Based on Pheromone Trails
Evolutionary Multi-objective Optimization Algorithms with Pr...
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2010 IEEE World Congress on Computational Intelligence
作者: Li, Hui Landa-silva, Dario Gandibleux, Xavier Univ Nottingham Sch Comp Sci Automated Scheduling Optimisat & Planning ASAP Re Nottingham NG7 2RD England Univ Nantes Dept Comp Sci Lab Informat F-44035 Nantes France
Recently, the research on quantum-inspired evolutionary algorithms (QEA) has attracted some attention in the area of evolutionary computation. QEA use a probabilistic representation, called Q-bit, to encode individual... 详细信息
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Optimal prediction intervals for macroeconomic time series using chaos and multi-objective optimization algorithms
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SWARM AND evolutionary COMPUTATION 2022年 71卷 101070-101070页
作者: Sarveswararao, Vangala Ravi, Vadlamani Ul Huq, Shaik Tanveer Inst Dev & Res Banking Technol Ctr Excellence Analyt Castle Hills Rd 1 Hyderabad 500057 India Univ Hyderabad SCIS Hyderabad 500046 India
In a first-of-its-kind study, this paper formulates the problem of estimating the prediction intervals (PIs) in a macroeconomic time series as a bi-objective optimization problem and solves it with three evolutionary ... 详细信息
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multiobjective TDMA optimization for neuron-based molecular communication  12
Multiobjective TDMA optimization for neuron-based molecular ...
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Proceedings of the 7th International Conference on Body Area Networks
作者: Junichi Suzuki Sasitharan Balasubramaniam Adriele Prina-Mello University of Massachusetts Boston Telecommunication Software Systems Group Ireland Trinity College Dublin Ireland
This paper proposes and evaluates Neuronal TDMA, a TDMA-based signaling protocol framework for molecular communication, which utilizes neurons as a primary component to build in-body sensor-actuator networks (IBSANs).... 详细信息
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