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检索条件"主题词=Numerical optimization problems"
15 条 记 录,以下是11-20 订阅
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Opposition-based Magnetic optimization Algorithm with parameter adaptation strategy
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SWARM AND EVOLUTIONARY COMPUTATION 2016年 26卷 97-119页
作者: Aziz, Mahdi Tayarani-N, Mohammad-H. Amirkabir Univ Technol Dept Comp Engn & Informat Technol Vali Asr St Tehran Iran Univ Birmingham Dept Elect & Comp Sci Birmingham W Midlands England
Magnetic optimization Algorithm (MOA) has emerged as a promising optimization algorithm that is inspired by the principles of magnetic field theory. In this paper we improve the performance of the algorithm in two asp... 详细信息
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A note on the extended Rosenbrock function
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EVOLUTIONARY COMPUTATION 2006年 第1期14卷 119-126页
作者: Shang, YW Qiu, YH Chinese Acad Sci Inst Automat Lab Complex Syst & Intelligence Sci Beijing 100080 Peoples R China
The Rosenbrock function is a well-known benchmark for numerical optimization problems, which is frequently used to assess the performance of Evolutionary Algorithms. The classical Rosenbrock function, which is a two-d... 详细信息
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A Binary Coded Multi-Parent Genetic Algorithm for Shuttle Bus Routing System in a College Campus  4
A Binary Coded Multi-Parent Genetic Algorithm for Shuttle Bu...
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3rd International Conference On Advanced Informatics - Concepts, Theory And Application (ICAICTA)
作者: Phyu, Seng Pan That Pann Srijuntongsiri, Gun Thammasat Univ Sirindhorn Int Inst Technol Pathum Thani 12121 Thailand
Genetic algorithm (GA) has been successfully applied for many numerical optimization problems in the history. Multi-parent genetic algorithm (MPGA) is an extended genetic algorithm which uses more than two parent as a... 详细信息
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Parameter Extraction Model of Wind Turbine Based on A Novel Pigeon-Inspired optimization Algorithm
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JOURNAL OF INTERNET TECHNOLOGY 2024年 第4期25卷 561-573页
作者: Pan, Jeng-Shyang Liu, Fei-Fei Tian, Ai-Qing Kong, Lingping Chu, Shu-Chuan Shandong Univ Sci & Technol Coll Comp Sci & Engn Qingdao Peoples R China Chaoyang Univ Technol Dept Informat Management Chaoyang Taiwan Southwest Jiaotong Univ Sch Transportat & Logist Chengdu Peoples R China VSB Tech Univ Ostrava Fac Elect Engn & Comp Sci Ostrava Czech Republic Flinders Univ S Australia Coll Sci & Engn Adelaide Australia
This paper has been designed to address the problems of slow convergence and low convergence accuracy of the pigeon-inspired optimization (PIO) algorithm. The evolutionary mechanism of the PIO algorithm contains two s... 详细信息
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On an Interactive Digital Simulation System for Hybrid Structured Block-Diagrams
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IFAC Proceedings Volumes 1979年 第7期12卷 337-341页
作者: H. Moll H. Burkhardt Institut für Meß- und Regelungstechnik University of Karlsruhe D-7500 Karlsruhe Federal Republic of Germany
The paper describes the application of the block-diagram, digital simulation system, SIDAS, for the purpose of designing control systems. The main features of the system are easy handling by the use of interactive gra... 详细信息
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