The intelligent water drops algorithm: a nature-inspired swarm-based optimization algorithm

By Hamed Shah-Hosseini. International Journal of Bio-Inspired Computation (IJBIC), 2009

482 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/9d61b5d40f561a08657e75350c58a0e842be00c7

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Citations in the corpus

Darwin or Lamarck? Future Challenges in Evolutionary Algorithms for Knowledge Discovery and Data Mining (2014, methodology): “The authors of [100] tested this algorithm to find solutions of the n-queen puzzle with a simple local heuristic, solved the travelling salesman problem (TSP) and tested it with multiple knapsack problems (MKP) in which near-optimal or optimal solutions were obtained [101].”
An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges (2023, background): “(2017) 278 Integrated Radiation Optimization (IRO) Chuang and Jiang (2007) 279 Intelligent Ice Fishing Algorithm (IIFA) Karpenko and Kuzmina (2021) 280 Intelligent Water Drop Algorithm (IWD) Shah-Hosseini (2009) 281 Interactive Autodidactic School Algorithm (IAS) Jahangiri et al.”
Discrete cuckoo search algorithm for the travelling salesman problem (2014, background): “Bee colonies optimisation (BCO) [30], monkey search algorithm (MS) [22], harmony search algorithm (HS) [13], firefly algorithm (FA) [32], intelligent water drops (IWD) [26], bat-inspired algorithm (BA) [33], cuckoo search (CS) [34], and krill herd (KH) [9] are among the recently proposed metaheurist”
Mixed Static and Dynamic Optimization of Four-Parameter Functionally Graded Completely Doubly Curved and Degenerate Shells and Panels Using GDQ Method (2013, background): “A comprehensive but not complete list includes Tabu Search [94], Simulated Annealing [95, 96], Ant Colonies Optimization [97, 98], Genetic Algorithms [99–109], Differential Evolution [110], Particle Swarm Algorithm [111–116], Immune Systems [117, 118], Gravity Optimization [119], Imperialist Competi”
Metaheuristics - the metaphor exposed (2015, background): “Algorithms that have received some attention in the literature are the intelligent water drops algorithm (Shah-Hosseini, 2009) (inspired by the ﬂow of water to the sea), cuckoo search (Yang and Deb, 2009) (inspired by cuckoos laying their eggs in other birds’ nests), and harmony search (Geem et…”