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检索条件"主题词=multi-objective Genetic Programming"
21 条 记 录,以下是11-20 订阅
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A hybrid model for predicting human physical activity status from lifelogging data
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EUROPEAN JOURNAL OF OPERATIONAL RESEARCH 2020年 第3期281卷 532-542页
作者: Ni, Ji Chen, Bowei Allinson, Nigel M. Ye, Xujiong Univ Lincoln Sch Comp Sci Lincoln England Univ Glasgow Adam Smith Business Sch Glasgow Lanark Scotland Incept Inst Artificial Intelligence Abu Dhabi U Arab Emirates
One trend in the recent healthcare transformations is people are encouraged to monitor and manage their health based on their daily diets and physical activity habits. However, much attention of the use of operational... 详细信息
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Using robust generalized fuzzy modeling and enhanced symbolic regression to model tribological systems
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APPLIED SOFT COMPUTING 2018年 69卷 610-624页
作者: Kronberger, Gabriel Kommenda, Michael Lughofer, Edwin Saminger-Platz, Susanne Promberger, Andreas Nickel, Falk Winkler, Stephan Affenzeller, Michael Univ Appl Sci Upper Austria Sch Informat Commun & Media Heurist & Evolutionary Algorithms Lab Softwarepk 11 A-4232 Hagenberg Austria Johannes Kepler Univ Linz Dept Knowledge Based Math Syst Altenbergerstr 49 A-4040 Linz Austria Miba Frictec Peter Mitterbauer Str A-4661 Roitham Austria
Tribological systems are mechanical systems that rely on friction to transmit forces. The design and dimensioning of such systems requires prediction of various characteristic, such as the coefficient of friction. The... 详细信息
来源: 评论
Prediction of vertical pile capacity of driven pile in cohesionless soil using artificial intelligence techniques
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INTERNATIONAL JOURNAL OF GEOTECHNICAL ENGINEERING 2018年 第2期12卷 209-216页
作者: Mohanty, Ranajeet Suman, Shakti Das, Sarat Kumar Natl Inst Technol Dept Civil Engn Rourkela 769008 Odisha India
Piles are used in substructures of different infrastructural constructions. Due to the complex nature of soil, there are different empirical models to predict the bearing capacity of piles. The objective of the presen... 详细信息
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A genetic programming Approach to Generating Musical Compositions  1
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4th International Conference and 13th European Event on Evolutionary and Biologically Inspired Music, Sound, Art, and Design (EvoMUSART)
作者: Hofmann, David M. Univ Mus Karlsruhe Inst Musicol & Mus Informat Karlsruhe Germany
Evolutionary algorithms have frequently been applied in the field of computer-generated art. In this paper, a novel approach in the domain of automated music composition is proposed. It is inspired by genetic programm... 详细信息
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An Integrated Approach to Stage 1 Breast Cancer Detection  15
An Integrated Approach to Stage 1 Breast Cancer Detection
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17th genetic and Evolutionary Computation Conference (GECCO)
作者: Fitzgerald, Jeannie M. Ryan, Conor Medernach, David Krawiec, Krzysztof Univ Limerick Limerick Ireland Poznan Univ Tech Poznan Poland
We present an automated, end-to-end approach for Stage 1 breast cancer detection. The first phase of our proposed work-flow takes individual digital mammograms as input and outputs several smaller sub-images from whic... 详细信息
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A New multiobjective genetic programming for Extraction of Design Information from Non-dominated Solutions
A New Multiobjective Genetic Programming for Extraction of D...
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7th International Conference on Eevolutionary Mmulti-Criterion Optimization (EMO)
作者: Tatsukawa, Tomoaki Nonomura, Taku Oyama, Akira Fujii, Kozo Japan Aerosp Explorat Agcy Inst Space & Astronaut Sci Sagamihara Kanagawa 2525210 Japan
We propose a new type of multi-objective genetic programming (MOGP) for multi-objective design exploration (MODE). The characteristic of the new MOGP is the simultaneous symbolic regression to multiple objective funct... 详细信息
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Autonomous robot failure recognition design using multi-objective genetic programming
Autonomous robot failure recognition design using multi-obje...
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5th International Conference on Machine Learning and Cybernetics
作者: Zhang, Yang Univ Sheffield Dept Elect & Elect Engn Sheffield S1 3JD S Yorkshire England
An evolutionary autonomous failure recognition approach is presented using multi-objective genetic programming in this paper. It is compared with the conventional robot failure classification algorithm. Detailed analy... 详细信息
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AUTONOMOUS ROBOT FAILURE RECOGNITION DESIGN USING multi-objective genetic programming
AUTONOMOUS ROBOT FAILURE RECOGNITION DESIGN USING MULTI-OBJE...
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2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)
作者: YANG ZHANG Electronic and Electrical Engineering Department The University of Sheffield S1 3JD UK
An evolutionary autonomous failure recognition approach is presented using multi-objective genetic programming in this paper. It is compared with the conventional robot failure classification algorithm. Detailed analy... 详细信息
来源: 评论
Evolving optimal feature extraction using multi-objective genetic programming: A methodology and preliminary study on edge detection
Evolving optimal feature extraction using multi-objective ge...
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genetic and Evolutionary Computation Conference
作者: Zhang, Yang Rockett, Peter I. Univ Sheffield Dept Elect & Elect Engn Sheffield S1 3JD S Yorkshire England
In this paper we describe a generic methodology to create an "optimal" feature extraction pre-processing stage for pattern classification. Our aim is to map the input data into a new, one-dimensional feature... 详细信息
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Evolving optimal feature extraction using multi-objective genetic programming: a methodology and preliminary study on edge detection  05
Evolving optimal feature extraction using multi-objective ge...
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Proceedings of the 7th annual conference on genetic and evolutionary computation
作者: Yang Zhang Peter I. Rockett University of Sheffield UK
In this paper we describe a generic methodology to create an "optimal" feature extraction pre-processing stage for pattern classification. Our aim is to map the input data into a new, one-dimensional feature... 详细信息
来源: 评论