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检索条件"主题词=evolutionary algorithms"
12066 条 记 录,以下是4731-4740 订阅
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evolutionary Algorithm based Controller Design for Grid tie Inverter to improve the Quality of Power System  2
Evolutionary Algorithm based Controller Design for Grid tie ...
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2nd International Conference on Power and Embedded Drive Control, ICPEDC 2019
作者: Vijayakumar, K. Vishnuvarthanan, G. Zhang, Eugene Yu-Dong Kalasalingam Academy of Research and Education Department of Electrical and Electronics Engineering Krishnankoil India University of Leicester Department of Informatics United Kingdom
The core objective of this paper is to increase the overall efficacy of the inverter operation by designing a new controlling strategy by realizing a novel Monkey King Evolution Algorithm (MKEA). Providing an appropri... 详细信息
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Applying Dynamic evolutionary Optimization to the Multiobjective Knapsack Problem  9th
Applying Dynamic Evolutionary Optimization to the Multiobjec...
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9th Brazilian Conference on Intelligent Systems, BRACIS 2020
作者: de Queiroz Lafetá, Thiago Fialho de Oliveira, Gina Maira Barbosa Federal University of Uberlândia UberlândiaMG Brazil
Real-world discrete problems are often also dynamic making them very challenging to be optimized. Here we focus on the employment of evolutionary algorithms to deal with such problems. In the last few years, many evol... 详细信息
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Assessing efficiency of different evolutionary strategies playing MasterMind
Assessing efficiency of different evolutionary strategies pl...
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2010 IEEE Conference on Computational Intelligence and Games, CIG2010
作者: Merelo, Juan J. Mora, Antonio M. Runarsson, Thomas P. Cotta, Carlos Dept. of Architecture and Computer Technology ETSIIT University of Granada Spain School of Engineering and Natural Sciences University of Iceland Iceland Departament of Languages and Computer Sciences University of Málaga Spain
A MasterMind player must find out a secret combination (set by another player) by playing others of the same kind and using the hints obtained as a response (which reveal how close the played combination is to the sec... 详细信息
来源: 评论
Determining Optimal Features for Emotion Recognition from Speech by applying an evolutionary Algorithm
Determining Optimal Features for Emotion Recognition from Sp...
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11th Annual Conference of the International-Speech-Communication-Association 2010
作者: Huebner, David Vlasenko, Bogdan Grosser, Tobias Wendemuth, Andreas Univ Magdeburg Dept Elect Engn & Informat Technol D-39106 Magdeburg Germany
The automated recognition of emotions from speech is a challenging issue. In order to build an emotion recognizer well defined features and optimized parameter sets are essential. This paper will show how an optimal p... 详细信息
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A fuzzy inference system-inspired influence function for the cultural algorithm with evolutionary programming applied to real-valued function optimization
A fuzzy inference system-inspired influence function for the...
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11th Annual Genetic and evolutionary Computation Conference, GECCO-2009
作者: Torres, Mário Augusto Silva, Rodrigo Magno Teixeira, Otávio Noura Limão, Roberto Universidade Federal Do Pará Rua Augusto Corrêa 1 Guamá Belém PA Brazil Universidade Federal Do Rio Grande Do Sul Porto Alegre RS Brazil
In this paper, we present a Fuzzy Influence Function for the CAEP model (Cultural algorithms with evolutionary Programming) proposed by Chung [1] and extended by Zhu [6], applied to real-valued function optimization. ... 详细信息
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EvoGeneS, a new evolutionary approach to graph generation
EvoGeneS, a new evolutionary approach to graph generation
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5th European Conference on evolutionary Computation in Combinatorial Optimization, EvoCOP 2005
作者: Cordella, Luigi Pietro De Stefano, Claudio Fontanella, Francesco Marcelli, Angelo Department of Information Engineering and Systems University of Naples Via Claudio 21 80125 Naples Italy Italy Italy
Graphs are powerful and versatile data structures, useful to represent complex and structured information of interest in various fields of science and engineering. We present a system, called EvoGeneS, based on an evo... 详细信息
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Research on Risk Assessment Model of Urban Rail Transit Based on State Space Model evolutionary Algorithm
Research on Risk Assessment Model of Urban Rail Transit Base...
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2024 Asia-Pacific Conference on Software Engineering, Social Network Analysis and Intelligent Computing, SSAIC 2024
作者: Gao, Qian Liu, Chunbo Chongqing Jianzhu College Chongqing400072 China
At present, many large and medium-sized cities in China are accelerating the construction of urban rail transit. The contradiction between urban transportation capacity and traffic volume has become increasingly promi... 详细信息
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Solving the Discretization-based Feature Construction Problem using Bi-level evolutionary Optimization
Solving the Discretization-based Feature Construction Proble...
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2023 IEEE Congress on evolutionary Computation, CEC 2023
作者: Said, Rihab Bechikh, Slim Coello, Carlos A. Coello Said, Lamjed Ben Isg University of Tunis Smart Lab Tunisia CINVESTAV-IPN Mexico
Feature construction represents a crucial data preprocessing technique in machine learning applications because it ensures the creation of new informative features from the original ones. This fact leads to the improv... 详细信息
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A parallel evolutionary algorithm for unconstrained binary quadratic problems  08
A parallel evolutionary algorithm for unconstrained binary q...
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10th Annual Genetic and evolutionary Computation Conference, GECCO 2008
作者: Borgulya, István Faculty of Business and Economics University of Pécs Hungary
In this paper an island model is described for the unconstrained Binary Quadratic Problem (BQP), which can be used with up to 2500 binary variables. Our island model uses a master-slave structure and the migration is ... 详细信息
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Learning under concept drift using a neuro-evolutionary ensemble
Learning under concept drift using a neuro-evolutionary ense...
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作者: Escovedo, Tatiana Da Cruz, André V. Abs Vellasco, Marley M. B. R. Koshiyama, Adriano S. Rio de Janeiro Brazil
This work describes the use of a weighted ensemble of neural network classifiers for adaptive learning. We train the neural networks by means of a quantum-inspired evolutionary algorithm (QIEA). The QIEA is also used ... 详细信息
来源: 评论