A new optimization method: Dolphin echolocation

By Ali Kaveh, N. Farhoudi. Advances in Engineering Software, 2013

527 citations recorded by the source corpus.

Subfields: Ocean Engineering, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/4ee0f997c890558d108f10add64134030979120d

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In Ocean Engineering

In Water Science and Technology

Citations in the corpus

Binary bat algorithm (2013, background): “Some of them are particle swarm optimization (PSO) [1], genetic algorithm (GA) [2], simulated annealing (SA) [3], ant colony optimization (ACO) [4], gravitational search algorithm [5], charged system search [6], magnetic charged system search [7], ray optimization [8], and dolphin echolocation [9].”
The Ant Lion Optimizer (2015, unknown): “…[34,35], Ray Optimization (RO) [36–38] algorithm, Colliding Bodies Optimization (CBO) [39–44] algorithm, Hybrid Particle Swallow Swarm Optimization (HPSSO) [45], Democratic Particle Swarm Optimization (DPSO) [46,47], Dolphin Echolocation (DE) [48,49], and Chaotic Swarming of Particles (CSP) [50].”
A novel algorithm for global optimization: Rat Swarm Optimizer (2020, unknown): “2007) 2007 Imperialist Competitive Algorithm (ICA) (Atashpaz-Gargari and Lucas 2007) 2007 League Championship Algorithm (LCA) (Kashan 2009) 2009 Firework Algorithm (Tan and Zhu 2010) 2010 Fruit fly Optimization Algorithm (FOA) (Pan 2012) 2012 Bird Mating Optimizer (BMO) (Askarzadeh and Rezazadeh 201”
An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges (2023, background): “The convergence curve 1 3 formula, the effective radius, and epsilon are the three primary parameters for dolphin echolocation optimization (DEO) (Kaveh and Farhoudi 2013).”
Coyote Optimization Algorithm: A New Metaheuristic for Global Optimization Problems (2018, methodology): “Optimization (ACO) [5], the Artificial Bee Colony (ABC) [6], Bacterial Colony Foraging (BCF) [7], the Bat-Inspired Algorithm (BA) [8], the Dolphin Echolocation (DE) [9], the Firefly Algorithm(FA) [10], Flower Pollination Algorithm (FPA) [11], the Grey Wolf Optimizer (GWO) [12], the Particle Swarm Op”
Colliding bodies optimization: A novel meta-heuristic method (2014, methodology): “Meta-heuristic algorithms such as Genetic algorithms (GA) [2], Particle swarm optimization (PSO) [3], Ant colony optimization (ACO) [4], Big bang-big crunch (BB-BC) [5], Charged system search (CSS) [6], Ray optimization (RO) [7], Democratic PSO [8], Dolphin echolocation (DE) [9], Mine blast (MB) [10”
Grasshopper Optimisation Algorithm: Theory and application (2017, methodology): “The literature shows that there are many recent swarm intelligence optimisation techniques such as Dolphin Echolocation (DEL) [18, 19], Firefly Algorithm (FA) [20, 21], Bat Algorithm (BA) [22], and Grey Wolf Optimizer (GWO) [3].”