Cuckoo Optimization Algorithm
By Ramin Rajabioun. Applied Soft Computing, 2011
1,171 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems
View Paper: https://www.semanticscholar.org/paper/bc233416d567d37b345ec916d6b50f96bd73bad6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Tansel Dökeroğlu
- Laith Mohammad Abualigah
- Mohammad Shehab
- Mohammad Alshinwan
- Hamzeh Alabool
- Yongquan Zhou
- Ahmet Cosar
- Tayfun Kucukyilmaz
In Information Systems
- Afeez Abidemi
- Mohammad Alshinwan
- Emmanuel Gbenga Dada
- Ban Mohammed Khammas
- Mehrdad Rostami
- Sen Zhang
- Zhiming Li
- Seyed Mohammad Mirjalili
Citations in the corpus
- Digital currency forecasting with chaotic meta-heuristic bio-inspired signal processing techniques (2019, methodology): “Since the step length is much longer in the long run, the random walk over the Lévy flight is more effective in exploring the search space than the other optimization methods such as genetic algorithm (GA) and PSO [38].”
- Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm (2015, background): “Some of the most recent ones are Glowworm Swarm Optimization (GSO) [19], Bees Algorithm (BA) [20], Artificial Bee Colony (ABC) algorithm [21], Bat Algorithm (BA) [22], Firefly Algorithm (FA) [23], Cuckoo Search (CS) algorithm [24], Cuckoo Optimization Algorithm (COA) [25], Grey Wolf Opti-”
- Lévy-Flight Moth-Flame Algorithm for Function Optimization and Engineering Design Problems (2016, methodology): “Some of the latest algorithms are Artificial Bee Colony (ABC) algorithm [9], Bat Algorithm (BA) [10], Cuckoo Search (CS) algorithm [11], Cuckoo Optimization Algorithm (COA) [12], Gravitational Search Algorithm (GSA) [13], Charged System Search (CSS) [14], Firefly Algorithm (FA) [15], and Ray Optimiz”
- A swarm optimization algorithm inspired in the behavior of the social-spider (2013, background): “This information encoded as small vibrations is a critical aspect for the collective coordination among members [20].”
- A survey on new generation metaheuristic algorithms (2019, background): “Rajabioun (2011) proposes a CSA for continuous nonlinear optimization problems.”
- Salp swarm algorithm: a comprehensive survey (2019, methodology): “Examples include genetic algorithm [4], genetic programming [11], cuckoo optimization algorithm [12], firefly algorithm [13], ant colony optimization [14], and harmony search algorithm [15].”
- Cuckoo search algorithm and wind driven optimization based study of satellite image segmentation for multilevel thresholding using Kapur's entropy (2014, background): “1 ð12Þ CðyÞ ¼ Z 1 0 f y 1e f df ð13Þ where, C(y) is the Gamma function.”
- Review of Swarm Intelligence-based Feature Selection Methods (2020, methodology): “The Cuckoo Optimization Algorithm (COA) is another algorithm based on swarm intelligence, inspired by the special lifestyle of a bird called the cuckoo (Rajabioun 2011).”
- Modified Grey Wolf Optimizer for Global Engineering Optimization (2016, methodology): “…Fruit Fly Optimization Algorithm (FFOA) [28], Bat Algorithm (BA) [20], Novel Bat Algorithm (NBA) [29], Dragonfly Algorithm (DA) [30], Cat Swarm Optimization (CSO) [31], Cuckoo Search (CS) Algorithm [23], Cuckoo Optimization Algorithm (COA) [32], and Spider Monkey Optimization (SMO) Algorithm [33].”
- Metaheuristic algorithms for PID controller parameters tuning: review, approaches and open problems (2022, methodology): “The pseudocode, equations and application details for CS can be seen in Yang and Deb (2009); Bhandari et al. (2014); Shair et al. (2015); Mamizadeh et al. (2018); Rajabioun (2011).”
- The Ant Lion Optimizer (2015, neutral): “…Artificial Bee Colony (ABC) algorithm [23], Firefly Algorithm (FA) [24,25], Cuckoo Search (CS) algorithm [26,27], Cuckoo Optimization Algorithm (COA) [28], Gravitational Search Algorithm (GSA) [29], Charged System Search (CSS) [30–33], Magnetic Charged System Search [34,35], Ray Optimization (RO)…”