An evolutionary clustering search for the total tardiness blocking flow shop problem
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Intelligent Manufacturing"
DOI: 10.1007/s10845-017-1358-7
Abstract: In this paper we propose the evolutionary clustering search (ECS) algorithm combined with a variable neighbourhood search (VNS) for the m-machine blocking flow shop scheduling problem with total tardiness minimization. The proposed ECS uses NEH-based… read more here.
Keywords: flow shop; search; clustering search; evolutionary clustering ... See more keywords
Identification of dynamic networks community by fusing deep learning and evolutionary clustering
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DOI: 10.1038/s41598-024-74361-0
Abstract: Community detection is a critical component of network analysis and a hot topic in social computing. Detecting community structure in dynamic networks has important theoretical and practical implications for understanding the intrinsic function of networks… read more here.
Keywords: deep learning; learning evolutionary; dynamic networks; community ... See more keywords
F1-ECAC: Enhanced Evolutionary Clustering Using an Ensemble of Supervised Classifiers
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DOI: 10.1109/access.2021.3116092
Abstract: Clustering is an unsupervised learning technique used in data mining for finding groups with increased object similarity within but not between them. However, the absence of a-priori knowledge on the optimal clustering criterion, and the… read more here.
Keywords: enhanced evolutionary; evolutionary clustering; ecac enhanced; clustering using ... See more keywords
RecMem: Time Aware Recommender Systems Based on Memetic Evolutionary Clustering Algorithm
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/8714870
Abstract: Nowadays, the recommendation is an important task in the decision-making process about the selection of items especially when item space is large, diverse, and constantly updating. As a challenge in the recent systems, the preference… read more here.
Keywords: evolutionary clustering; time; memetic evolutionary; algorithm ... See more keywords
OPEC: Daily Load Data Analysis Based on Optimized Evolutionary Clustering
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DOI: 10.3390/en12142668
Abstract: Customers’ electricity consumption behavior can be studied from daily load data. Studying the daily load data for user behavior pattern analysis is an emerging research area in smart grid. Traditionally, the daily load data can… read more here.
Keywords: daily load; evolutionary clustering; consumption; load ... See more keywords