Výsledky vyhledávání - "Population-Based Incremental Learning Algorithm"

Unsupervised feature selection using clustering ensembles and population based incremental learning algorithm Autor Hong, Yi, Kwong, Sam, Chang, Yuchou, Ren, Qingsheng

“…This paper describes a novel feature selection algorithm for unsupervised clustering, that combines the clustering ensembles method and the population based incremental learning algorithm…”
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Optimizing ontology alignment through hybrid population-based incremental learning algorithm Autor Xue, Xingsi, Chen, Junfeng

“…Ontology matching is an effective technique to solve the ontology heterogeneous problem in Semantic Web. Since different ontology matchers do not necessarily…”
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Population-Based Incremental Learning Algorithm for a Serial Colored Traveling Salesman Problem Autor Meng, Xianghu, Li, Jun, Zhou, MengChu, Dai, Xianzhong, Dou, Jianping

“…A colored traveling salesman problem (CTSP) is a generalization of the well-known multiple traveling salesman problem. This paper investigate a class of CTSP,…”
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A population-based incremental learning algorithm to identify optimal location of left-turn restrictions in urban grid networks Autor Bayrak, Murat, Yu, Zhengyao, Gayah, Vikash V.

“…The treatment of left turns at signalized intersections drives the development of signal phasing and timing plans and also plays an important role in overall…”
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Optimization of the p-xylene oxidation process by a multi-objective differential evolution algorithm with adaptive parameters co-derived with the population-based incremental learning algorithm Autor Guo, Zhan, Yan, Xuefeng

“…Different operating conditions of p-xylene oxidation have different influences on the product, purified terephthalic acid. It is necessary to obtain the…”
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A diversity maintaining population-based incremental learning algorithm Autor Ventresca, Mario, Tizhoosh, Hamid R.

“…In this paper we propose a new probability update rule and sampling procedure for population-based incremental learning. These proposed methods are based on…”
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A Real Coded Vector Population-Based Incremental Learning Algorithm for Multi-Objective Optimizations of Electromagnetic Devices Autor Ho, S. L., Yang, Jiaqiang, Yang, Shiyou, Bai, Yanan

“…) in computational intelligence studies. A real coded scalar population-based incremental learning algorithm, an EAPM, is proposed for multi-objective optimizations of electromagnetic devices…”
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A new approach to the Population-Based Incremental Learning algorithm using virtual regions for task mapping on NoCs Autor García Morales, L.G., Aedo Cobo, J.E., Bagherzadeh, N.

“…Network-On-Chip (NoC) platforms were proposed to increase system performance in current and future generations of Multi-Processor System-on-Chip ranging from a…”
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Conformational searching using a population-based incremental learning algorithm Autor Long, Stephen M., Tran, Tran T., Adams, Peter, Darwen, Paul, Smythe, Mark L.

“…A new population‐based incremental learning algorithm for conformational searching of molecules is presented…”
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Chaotic synchronization using PID control combined with population based incremental learning algorithm Autor Coelho, Leandro dos Santos, Grebogi, Rafael Bartnik

“…Evolutionary algorithms (EAs) refer to a broad class of optimization algorithms, which take some inspiration from evolutionary systems in the natural world. In…”
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WITHDRAWN: A hybrid population based incremental learning algorithm with Particle Swarm Optimization for general threshold Visual Cryptography schemes Autor Kanusu, Srinivasa Rao, Mandapati, Sridhar

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An Improved Population-Based Incremental Learning Algorithm Autor Folly, Komla A

“…Population-Based Incremental Learning (PBIL) is a relatively new class of Evolutionary Algorithms (EA) that has been recently applied to a range of…”
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The convergence analysis and specification of the Population-Based Incremental Learning algorithm Autor Li, Helong, Kwong, Sam, Hong, Yi

“…In this paper, we investigate the global convergence properties in probability of the Population-Based Incremental Learning (PBIL) algorithm when the initial…”
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The Population-Based Incremental Learning Algorithm converges to local optima Autor Rastegar, Reza, Hariri, Arash

“…Here, we propose a convergence proof for the Population-Based Incremental Learning (PBIL). First, we model the PBIL by a Markov process and approximate its…”
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Adaptive Spectral Clustering Ensemble Selection via Resampling and Population-Based Incremental Learning Algorithm Autor Xu, Yuanchun, Jia, Jianhua

“… The selection process works by evaluating the generated component spectral clustering through resampling technique and population-based incremental learning algorithm （PBIL…”
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USING THE POPULATION-BASED INCREMENTAL LEARNING ALGORITHM WITH COMPUTER SIMULATION: SOME APPLICATIONS Autor Bekker, J., Olivier, Y.

“…ENGLISH ABSTRACT: The integration of the population-based incremental learning (PBIL) algorithm with computer simulation shows how this particular combination…”
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Using the population-based incremental learning algorithm with computer simulation : some applications Autor Bekker, J., Olivier, Y.

“…Die integrasie van die population-based incremental learning (PBIL) algoritme met rekenaarsimulasie word bespreek, en daar word getoon hoe hierdie spesifieke…”
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A Short Survey on Population-Based Incremental Learning Algorithm Autor Folly, Komla A

“…Population-Based Incremental Learning (PBIL) algorithm is an evolutionary algorithm technique that belongs to the class of Estimation of Distribution…”
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Fast reliability evaluation method for composite power system based on the improved EDA and double cross linked list Autor Liu, Wenxia, Cheng, Rui, Xu, Yahui, Liu, Zongqi

“… In the sampling stage, the population-based incremental learning algorithm is presented, where the probability vector is updated based on the distribution characteristics of excellent samples…”
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An Improved Population-Based Incremental Learning Algorithm Autor Zhang Qingbin, Wu Tihua, Liu Bo

“…The population-based incremental learning (PBIL) is a novel evolutionary algorithm combined the mechanisms of the Genetic Algorithms with competitive learning…”
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