Who Cited It

A novel swarm intelligence optimization approach: sparrow search algorithm

2020 · Systems Science & Control Engineering · 3,807 citations · 1 from inside this corpus

Jiankai Xue, Bo Shen

In this paper, a novel swarm optimization approach, namely sparrow search algorithm (SSA), is proposed inspired by the group wisdom, foraging and anti-predation behaviours of sparrows. Experiments on 19 benchmark functions are conducted to test the performance of the SSA and its performance is compared with other algorithms such as grey wolf optimizer (GWO), gravitational search algorithm (GSA), and particle swarm optimization (PSO). Simulation results show that the proposed SSA is superior over GWO, PSO and GSA in terms of accuracy, convergence speed, stability and robustness. Finally, the effectiveness of the proposed SSA is demonstrated in two practical engineering examples.

A novel swarm intelligence optimization approach: sparrow search algorithm (2020)A novel swarm intelligence op…Particle swarm optimization (2002)Particle swarm optimizationAdaptation in Natural and Artificial Systems (1992)Adaptation in Natural and Art…Grey Wolf Optimizer (2014)Grey Wolf OptimizerGenetic Algorithms (2002)Genetic AlgorithmsNo free lunch theorems for optimization (1997)No free lunch theorems for op…Ant system: optimization by a colony of cooperating agents (1996)Ant system: optimization by a…A powerful and efficient algorithm for numerical function optimization: artificial bee co… (2007)A powerful and efficient algo…GSA: A Gravitational Search Algorithm (2009)GSA: A Gravitational Search A…Cuckoo Search via Lévy flights (2009)Cuckoo Search via Lévy flightsGenetic Algorithms (1992)Genetic AlgorithmsParticle swarm optimization: developments, applications and resources (2001)Particle swarm optimization: …Firefly algorithm, stochastic test functions and design optimisation (2010)Firefly algorithm, stochastic…Cuckoo search algorithm: a metaheuristic approach to solve structural optimization proble… (2011)Cuckoo search algorithm: a me…Dung beetle optimizer: a new meta-heuristic algorithm for global optimization (2022)Dung beetle optimizer: a new …
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What this paper cites, inside the corpus

PaperYearCited
Particle swarm optimization200248,447
Adaptation in Natural and Artificial Systems199235,569
Grey Wolf Optimizer201419,144
Genetic Algorithms200216,154
No free lunch theorems for optimization199714,234
Ant system: optimization by a colony of cooperating agents199612,034
A powerful and efficient algorithm for numerical function optimization: artificial bee co…20077,639
GSA: A Gravitational Search Algorithm20097,401
Cuckoo Search via Lévy flights20096,157
Genetic Algorithms19925,441
Particle swarm optimization: developments, applications and resources20014,316
Firefly algorithm, stochastic test functions and design optimisation20102,715
Cuckoo search algorithm: a metaheuristic approach to solve structural optimization proble…20112,269

What cites it, inside the corpus

PaperYearCited
Dung beetle optimizer: a new meta-heuristic algorithm for global optimization20221,656

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Topics

Metaheuristic Optimization Algorithms ResearchComputer Science
Evolutionary Algorithms and ApplicationsComputer Science
Artificial Immune Systems ApplicationsEngineering

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  • supports2 author record(s) attached.
  • supports32 reference(s) recorded.
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