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检索条件"主题词=evolutionary algorithms"
12071 条 记 录,以下是4671-4680 订阅
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EFFECTS OF ADAPTIVE SOCIAL NETWORKS ON THE ROBUSTNESS OF evolutionary algorithms
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INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS 2011年 第5期20卷 783-817页
作者: Whitacre, James M. Sarker, Ruhul A. Pham, Q. Tuan Univ Birmingham Sch Comp Sci Birmingham B15 2TT W Midlands England Univ New S Wales Australian Def Force Acad Sch Informat Technol & Elect Engn Canberra ACT 2600 Australia Univ New S Wales Sch Chem Sci & Engn Sydney NSW 2052 Australia
Biological networks are structurally adaptive and take on non-random topological properties that influence system robustness. Studies are only beginning to reveal how these structural features emerge, however the infl... 详细信息
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A hybrid approach to learn with imbalanced classes using evolutionary algorithms
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LOGIC JOURNAL OF THE IGPL 2011年 第2期19卷 293-303页
作者: Milare, Claudia R. Batista, Gustavo E. A. P. A. Carvalho, Andre C. P. L. F. Univ Sao Paulo Inst Ciencias Matemat & Comp Sao Carlos SP Brazil
There is an increasing interest in the application of evolutionary algorithms (EAs) to induce classification rules. This hybrid approach can benefit areas where classical methods for rule induction have not been very ... 详细信息
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Seeding evolutionary algorithms with heuristics for optimal wind turbines positioning in wind farms
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RENEWABLE ENERGY 2011年 第11期36卷 2838-2844页
作者: Saavedra-Moreno, B. Salcedo-Sanz, S. Paniagua-Tineo, A. Prieto, L. Portilla-Figueras, A. Univ Alcala de Henares Dept Signal Theory & Commun Madrid 28871 Spain Iberdrola Renovables Wind Resource Dept Madrid Spain
In this paper a novel evolutionary algorithm for optimal positioning of wind turbines in wind farms is proposed. A realistic model for the wind farm is considered in the optimization process, which includes orography,... 详细信息
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Hybridizing evolutionary algorithms with Variable-Depth Search to Overcome Local Optima
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ALGORITHMICA 2011年 第3期59卷 343-368页
作者: Sudholt, Dirk Tech Univ Dortmund D-44221 Dortmund Germany
Hybridizing evolutionary algorithms with local search has become a popular trend in recent years. There is empirical evidence for various combinatorial problems where hybrid evolutionary algorithms perform better than... 详细信息
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A Simple Bucketing Based Approach to Diversity Maintenance  17
A Simple Bucketing Based Approach to Diversity Maintenance
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Genetic and evolutionary Computation Conference (GECCO)
作者: Benbassat, Amit Shafet, Yuri Sapir Acad Coll MP Hof Ashkelon Israel Ben Gurion Univ Negev Beer Sheva Israel
We present an approach to diversity maintenance based on separating the population into buckets based on similarity and biasing selection to keep individuals from all buckets in the population. We look at two approach... 详细信息
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Inference of Biochemical S-Systems via Mixed-Variable Multiobjective evolutionary Optimization
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COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2017年 第20170101期2017卷 3020326-3020326页
作者: Chen, Yu Chen, Dong Zou, Xiufen Wuhan Univ Technol Sch Sci Wuhan 430070 Hubei Peoples R China Wuhan Univ Sch Math & Stat Wuhan 430072 Hubei Peoples R China
Inference of the biochemical systems (BSs) via experimental data is important for understanding how biochemical components in vivo interact with each other. However, it is not a trivial task because BSs usually functi... 详细信息
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Improving procedural 2D map Generation based on multi-layered cellular automata and Hilbert curves  16
Improving procedural 2D map Generation based on multi-layere...
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16th Brazilian Symposium on Computer Games and Digital Entertainment (SBGames)
作者: Macedo, Yuri P. A. Chaimowicz, Luiz Univ Fed Minas Gerais Dept Comp Sci Belo Horizonte MG Brazil
Procedural Content Generation (PCG) for Games is a field that in the past few years has seen both extensive academic study and practical use in the games industry. One of its common uses being the generation of maps f... 详细信息
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Handling Practicalities in Agricultural Policy Optimization for Water Quality Improvements  17
Handling Practicalities in Agricultural Policy Optimization ...
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Genetic and evolutionary Computation Conference (GECCO)
作者: Barnhart, Brad Lu, Zhichao Bostian, Moriah Sinha, Ankur Deb, Kalyanmoy Kurkalova, Luba Jha, Manoj Whittaker, Gerald US EPA ORD NHEERL WED Corvallis OR 97330 USA Michigan State Univ E Lansing MI 48824 USA Lewis & Clark Coll Portland OR 97219 USA Indian Inst Management Ahmadabad 380015 Gujarat India North Carolina A&T Greensboro NC 27401 USA Oregon State Univ Corvallis OR 97330 USA
Bilevel and multi-objective optimization methods are often useful to spatially target agri-environmental policy throughout a watershed. This type of problem is complex and is comprised of a number of practicalities: (... 详细信息
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Modeling the Performance of evolutionary algorithms on the Root Identification Problem: A Case Study with PBIL and CHC algorithms
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evolutionary COMPUTATION 2011年 第1期19卷 107-135页
作者: Yeguas, Enrique Joan-Arinyo, Robert Victoria Luzon, Maria Univ Cordoba Dept Informat & Anal Numer E-14071 Cordoba Spain Univ Politecn Cataluna Grp Informat Engn E-08028 Barcelona Spain Univ Granada Dept Lenguajes & Sistemas Informat E-18071 Granada Spain
The availability of a model to measure the performance of evolutionary algorithms is very important, especially when these algorithms are applied to solve problems with high computational requirements. That model woul... 详细信息
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Hybrid Multievolutionary System to Solve Function Optimization Problems
Hybrid Multievolutionary System to Solve Function Optimizati...
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Federated Conference on Computer Science and Information Systems (FedCSIS)
作者: Pytel, Krzysztof Univ Lodz Fac Phys & Appl Informat Lodz Poland
evolutionary algorithms are optimization methods inspired by natural evolution. They usually search for the optimal solution in large space areas. In evolutionary algorithms it is very important to select an appropria... 详细信息
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