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检索条件"主题词=evolutionary algorithms"
12066 条 记 录,以下是4711-4720 订阅
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An Adaptive Differential Evolution with Learning Parameters According to Groups Defined by the Rank of Objective Values  8th
An Adaptive Differential Evolution with Learning Parameters ...
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8th International Conference on Swarm Intelligence (ICSI)
作者: Takahama, Tetsuyuki Sakai, Setsuko Hiroshima City Univ Asaminami Ku 3-4-1 Ozuka Higashi Hiroshima 7313194 Japan Hiroshima Shudo Univ Asaminami Ku 1-1-1 Ozuka Higashi Hiroshima 7313195 Japan
Differential Evolution (DE) has been successfully applied to various optimization problems. The performance of DE is affected by algorithm parameters such as a scaling factor F and a crossover rate CR. Many studies ha... 详细信息
来源: 评论
Efficient Hybrid Memetic Algorithm for Multi-Objective Optimization Problems
Efficient Hybrid Memetic Algorithm for Multi-Objective Optim...
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International Conference on Engineering and Technology (ICET)
作者: Mohammed, Tareq Abed Sahmoud, Shaaban Bayat, Oguz Kemerburgaz Univ Collage Engn Istanbul Turkey Marmara Univ Collage Engn Istanbul Turkey
Importance of multi-objective optimization problems has been rapidly increasing in the artificial intelligence community. This significant is due to the fact that there is high number of real-world applications having... 详细信息
来源: 评论
Hardware Acceleration of Nonincremental algorithms for the Induction of Decision Trees  25
Hardware Acceleration of Nonincremental Algorithms for the I...
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25th Telecommunication Forum (TELFOR)
作者: Vukobratovic, Bogdan Struharik, Rastislav Frobas GmbH Gebruder Eicher Ring 45 Forstern Germany Univ Novi Sad Fac Tech Sci Trg Dositeja Obradovica 6 Novi Sad 21000 Serbia
In this paper, new algorithms for the full decision tree (DT) induction are presented, and various possibilities for their implementation are explored. First, description is given for the novel EFTI (evolutionary Full... 详细信息
来源: 评论
Path planning algorithm for ship collisions avoidance in environment with changing strategy of dynamic obstacles  19th
Path planning algorithm for ship collisions avoidance in env...
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19th Polish Control Conference (KKA)
作者: Kuczkowski, Lukasz Smierzchalski, Roman Gdansk Univ Technol Fac Elect & Control Engn Str Gabriela Narutowicza 11-12 PL-80233 Gdansk Poland
In this paper a path planning algorithm for the ship collision avoidance is presented. Tested algorithm is used to determine close to optimal ship paths taking into account changing strategy of dynamic obstacles. For ... 详细信息
来源: 评论
Fixed Head Hydrothermal Scheduling Incorporating Wind Energy by Khums Optimization Algorithm
Fixed Head Hydrothermal Scheduling Incorporating Wind Energy...
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IEEE Electrical Power and Energy Conference (EPEC)
作者: Hasan, Zakareya El-Hawary, M. E. Dalhousie Univ Halifax NS Canada
This paper proposes a new algorithm called Khums Optimization Algorithm (KOA) to solve the fixed head hydrothermal scheduling problem incorporating wind energy (HTSIW) uncertainty. In the hydrothermal scheduling (HT) ... 详细信息
来源: 评论
Use of Quantum-inspired Metaheuristics during Last Two Decades  7
Use of Quantum-inspired Metaheuristics during Last Two Decad...
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7th International Conference on Communication Systems and Network Technologies (CSNT)
作者: Karmakar, Swagata Dey, Ashmita Saha, Indrajit Natl Inst Tech Teachers Training & Res Dept Comp Sci & Engn Kolkata India
Metaheuristics are widely perceived optimization methods that provide optimal solutions to an expansive range of computational problems. This paper provides a survey of the quantum-inspired metaheuristics, which is a ... 详细信息
来源: 评论
Towards Pattern-Based Mixed-Initiative Dungeon Generation  17
Towards Pattern-Based Mixed-Initiative Dungeon Generation
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12th International Conference on the Foundations of Digital Games (FDG)
作者: Baldwin, Alexander Dahlskog, Steve Font, Jose M. Holmberg, Johan Malmo Univ Fac Technol & Soc Nordenskioldsgatan 1 S-20506 Malmo Sweden
Mixed-initiative Procedural Content Generation uses algorithms to assist human designers in the collaborative creation of game content. Different mixed-initiative approaches use different methods to engage with the de... 详细信息
来源: 评论
Towards a Method for Automatically Selecting and Configuring Multi-Label Classification algorithms  17
Towards a Method for Automatically Selecting and Configuring...
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Genetic and evolutionary Computation Conference (GECCO)
作者: de Sa, Alex G. C. Pappa, Gisele L. Freitas, Alex A. Univ Fed Minas Gerais Comp Sci Dept Belo Horizonte MG Brazil Univ Kent Sch Comp Canterbury Kent England
Given a new dataset for classification in Machine Learning (ML), finding the best classification algorithm and the best configuration of its (hyper)-parameters for that particular dataset is an open issue. The Automat... 详细信息
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A Population Extremal Optimization Based Modified Constrained Generalized Predictive Control Method  29
A Population Extremal Optimization Based Modified Constraine...
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第29届中国控制与决策会议
作者: Hai-Yang Liu Kang-Di Lu Guo-Qiang Zeng Huan Wang Yu-Xing Dai National-Local Joint Engineering Laboratory of Digitalize Electrical Design Technology Wenzhou University Department of Automation College of Information Sciences and TechnologyDonghua University College of Electrical and Information Engineering Hunan University
As one of the most popular and successful methods in industrial applications,model predictive control(MPC)has attracted increasing interest in the past two ***,one of open issues in this research filed is how to solve... 详细信息
来源: 评论
Optimization of Fractional and Integer Order PID Parameters using Big Bang Big Crunch and Genetic algorithms for a MAGLEV System
Optimization of Fractional and Integer Order PID Parameters ...
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20th World Congress of the International-Federation-of-Automatic-Control (IFAC)
作者: Altintas, Gokhan Aydin, Yucel Istanbul Tech Univ Elect Engn Dept Istanbul Turkey Istanbul Tech Univ Control & Automat Engn Dept Istanbul Turkey
This paper presents a study on optimized control for a magnetically levitated (MAGLEV) suspension system. Unstable magnetically levitated system is modelled and integer order PID (IOPID) and fractional order PID (FOPI... 详细信息
来源: 评论