Black hole: A new heuristic optimization approach for data clustering

By Abdolreza Hatamlou. Information Sciences, 2013

1,292 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/b8b34aff23e20552c99190d643dea1b94f0fd72f

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In Artificial Intelligence

Citations in the corpus

Sand Cat swarm optimization: a nature-inspired algorithm to solve global optimization problems (2022, methodology): “The Black Hole (BH) algorithm, which is inspired by the fact of black hole phenomena [20], is another algorithm in the physics-based category.”
STOA: A bio-inspired based optimization algorithm for industrial engineering problems (2019, neutral): “…algorithms are: Big-Bang Big-Crunch (BBBC) (Erol and Eksin, 2006), Charged System Search (CSS) (Kaveh and Talatahari, 2010a), Black Hole (BH) (Hatamlou, 2013) algorithm, Central Force Optimization (CFO) (Formato, 2009), Small-World Optimization Algorithm (SWOA) (Du et al., 2006), and Ray…”
Political Optimizer: A novel socio-inspired meta-heuristic for global optimization (2020, neutral): “…behind nat-ural phenomena. a Few examples are Simulated Annealing (SA) [32], Gravitational Search Algorithm (GSA) [33], Black Hole (BH) algorithm [34], Sine Co-sine Algorithm (SCA) [35], Big-Bang Big-Crunch (BB-BC) optimization algorithm [36], Water Cycle Algorithm (WCA) [37], Artiﬁcial Electric…”
A comprehensive review of firefly algorithms (2013, methodology): “…swarm-intelligence optimization techniques include the ﬁreﬂy algorithm (FA) [9] [10] [11] [12], cuckoo-search [13], and the bat algorithm [14], while new algorithms such as the krill herd bio-inspired optimization algorithm [15] and algorithms for clustering [16] [17] also emerged recently.”
A novel algorithm for global optimization: Rat Swarm Optimizer (2020, methodology): “The ifew iof ithe ipopular iphysical ibased ialgorithms iare iGravitational iSearch iAlgorithm i(GSA) i(Rashedi, Nezamabadi-pour, & Saryazdi, 2009), iSimulated iAnnealing i(SA) i(Kirkpatrick, Gelatt, & Vecchi, 1983), iCharged iSystem iSearch i(CSS) i(Kaveh & Talatahari, 2010a), iBig-Bang iBig-Crunch”
Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm (2015, methodology): “The most recent algorithms in this category are: Gravitational Search Algorithm (GSA) [30], Chemical Reaction Optimization (CRO) [31], Artificial Chemical Reaction Optimization Algorithm (ACROA) [32], Charged System Search (CSS) algorithm [33], Ray Optimization (RO) [34], Black Hole (BH) algorithm [”
An improved grey wolf optimizer for solving engineering problems (2021, background): “…search algorithm (GSA) (Rashedi et al., 2009), charged system search (CSS) (Kaveh et al., 2010), ray optimization (RO) (Kaveh et al., 2012), black hole (BH) (Hatamlou, 2013), atom search optimization (ASO) (Zhao et al., 2019), and henry gas solubility optimization (Hashim et al., 2019).”