An Optimizing Method Based on Autonomous Animats: Fish-swarm Algorithm

By Li-min Xiao. 2002

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Swarm Intelligence Algorithms for Feature Selection: A Review (2018, methodology): “FSA Fish-Swarm Algorithm [138] FSS Fish School Search [139] GEA Group Escaping Algorithm [140] GOA Grasshopper Optimisation Algorithm [141] GSO Glow-worm Swarm Optimization [142] GWO Grey Wolf Optimizer [143] HBA Honey Bee Algorithm [144] HBF Honey Bee Foraging [145] HBMO Honey Bees Mating Optimizat”
A survey on new generation metaheuristic algorithms (2019, methodology): “Population-based Sine Cosine Optimization Algorithm (SCA) is proposed by Mirjalili (2016b). Based on sine and cosine functions, SCA creates multiple random initial solutions and improves them to fluctuate outwards or towards the best solution using a model.”
Gaining-sharing knowledge based algorithm for solving optimization problems: a novel nature-inspired algorithm (2019, methodology): “2002 67 [29] Bacterial foraging Passino 2002 2738 [30] Bee dance algorithm Gordon et al.”
Binary grey wolf optimization approaches for feature selection (2016, background): “AFS is a robust stochastic technique based on the fish movement and its intelligence during the food finding process [13].”