Výsledky vyhledávání - Computational Intelligence, Evolutionary Computing and Evolutionary Clustering Algorithms

Computational Intelligence, Evolutionary Computing, Evolutionary Clustering Algorithms Autor Kristensen, Terje

“… The book starts with an introduction to the concept of evolutionary algorithms followed by details on clustering and evolutionary programming…”
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A Survey of Evolutionary Algorithms for Clustering Autor Hruschka, E.R., Campello, R.J.G.B., Freitas, A.A., de Carvalho, A.C.P.L.F.

“…This paper presents a survey of evolutionary algorithms designed for clustering tasks…”
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Evolutionary Markov Dynamics for Network Community Detection Autor Wang, Zhen, Wang, Chunyu, Li, Xianghua, Gao, Chao, Li, Xuelong, Zhu, Junyou

“… Algorithms based on Markov chains are easy to use and provide promising solutions for community detection…”
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A Fast Hybrid Feature Selection Based on Correlation-Guided Clustering and Particle Swarm Optimization for High-Dimensional Data Autor Song, Xian-Fang, Zhang, Yong, Gong, Dun-Wei, Gao, Xiao-Zhi

“…The "curse of dimensionality" and the high computational cost have still limited the application of the evolutionary algorithm in high-dimensional feature selection (FS) problems…”
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Feature selection methods for big data bioinformatics: A survey from the search perspective Autor Wang, Lipo, Wang, Yaoli, Chang, Qing

“…This paper surveys main principles of feature selection and their recent applications in big data bioinformatics. Instead of the commonly used categorization…”
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Hierarchical Topology-Based Cluster Representation for Scalable Evolutionary Multiobjective Clustering Autor Zhu, Shuwei, Xu, Lihong, Goodman, Erik D.

“…Evolutionary multiobjective clustering (MOC) algorithms have shown promising potential to outperform conventional single-objective clustering algorithms…”
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Semisupervised Approach to Surrogate-Assisted Multiobjective Kernel Intuitionistic Fuzzy Clustering Algorithm for Color Image Segmentation Autor Zhao, Feng, Zeng, Zhe, Liu, Hanqiang, Lan, Rong, Fan, Jiulun

“…Multiobjective evolutionary algorithms (MOEAs) are effective optimization methods…”
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Surrogate Sample-Assisted Particle Swarm Optimization for Feature Selection on High-Dimensional Data Autor Song, Xianfang, Zhang, Yong, Gong, Dunwei, Liu, Hui, Zhang, Wanqiu

“…) methods based on evolutionary optimization still face challenges such as the "curse of dimensionality" and the high computational cost…”
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Automatic clustering of colour images using quantum inspired meta-heuristic algorithms Autor Dey, Alokananda, Bhattacharyya, Siddhartha, Dey, Sandip, Platos, Jan, Snasel, Vaclav

“…This work explores the effectiveness and robustness of quantum computing by conjoining the principles of quantum computing with the conventional computational paradigm for the automatic clustering of colour images…”
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Broad learning approach to Surrogate-Assisted Multi-Objective evolutionary fuzzy clustering algorithm based on reference points for color image segmentation Autor Zhao, Feng, Liu, Yu, Liu, Hanqiang, Fan, Jiulun

“…•BLS is employed as the surrogate model to assist the evolutionary process.•Fuzzy clustering functions with image region information are constructed…”
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Evolutionary optimization in VANET services: a comprehensive survey, challenges and futuristic approach Autor Badole, Madhuri, Thakare, Anuradha, Oliva, Diego

“… This article surveys nature-inspired and evolutionary algorithms that optimize different parameters to improve…”
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Computational Intelligence and Soft Computing: Recent Applications

“… Computational Intelligence (CI) offers a plethora of efficient tools for the potential and rather good quality solution of highly complex, often mathematically intractable problems…”
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A multidisciplinary ensemble algorithm for clustering heterogeneous datasets Autor Hassan, Bryar A., Rashid, Tarik A.

“… Based on this premise, we propose a new evolutionary clustering…”
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Clustering stability-based Evolutionary K-Means Autor He, Zhenfeng, Yu, Chunyan

“…Evolutionary K-Means (EKM), which combines K-Means and genetic algorithm, solves K-Means…”
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Dynamic urban land-use change management using multi-objective evolutionary algorithms Autor Masoumi, Zohreh, Coello Coello, Carlos A., Mansourian, Ali

“… uses clustering analysis to produce appropriate solutions for decision makers from the outputs of the first step…”
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A clustering and dimensionality reduction based evolutionary algorithm for large-scale multi-objective problems Autor Liu, Ruochen, Ren, Rui, Liu, Jin, Liu, Jing

“… “the curse of dimensionality”. In this work, a clustering and dimensionality reduction based evolutionary algorithm for large-scale multi-objective problems is suggested, which focuses on clustering decision variables into two…”
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A clustering-based surrogate-assisted evolutionary algorithm (CSMOEA) for expensive multi-objective optimization Autor Wang, Wenxin, Dong, Huachao, Wang, Peng, Wang, Xinjing, Shen, Jiangtao

“…This paper presents a novel surrogate-assisted evolutionary algorithm, CSMOEA, for multi-objective optimization problems (MOPs…”
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A multi-agent evolutionary algorithm for software module clustering problems Autor Huang, Jinhuang, Liu, Jing, Yao, Xin

“… In this paper, we propose a multi-agent evolutionary algorithm to solve this problem, labeled as MAEA-SMCPs…”
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Scaling-up multiobjective evolutionary clustering algorithms using stratification Autor Garcia-Piquer, Alvaro, Bacardit, Jaume, Fornells, Albert, Golobardes, Elisabet

“…•Detailed comparison of results over different real and synthetic datasets. [Display omitted] Multiobjective evolutionary clustering algorithms are based…”
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Dynamic evolutionary data and text document clustering approach using improved Aquila optimizer based arithmetic optimization algorithm and differential evolution Autor Abualigah, Laith, Almotairi, Khaled H

“…Data and text clustering are popular and frequently used in the data mining domain, mainly to deal with big data analytics…”
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