Butterfly optimization algorithm: a novel approach for global optimization

By Sankalap Arora, Satvir Singh. Soft Computing - A Fusion of Foundations, Methodologies and Applications, 2018

1,509 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics

View Paper: https://www.semanticscholar.org/paper/fd75e722b726915541c1bbaf4399d50667936172

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

1. Laith Mohammad Abualigah
2. Amir H. Gandomi
3. Tansel Dökeroğlu
4. Mahdi Azizi
5. Siamak Talatahari
6. Absalom El-Shamir Ezugwu
7. Jeffrey O. Agushaka
8. Ayça Deniz

In Computational Theory and Mathematics

1. Laith Mohammad Abualigah
2. Mahdi Azizi
3. Amir H. Gandomi
4. Tansel Dökeroğlu
5. Siamak Talatahari
6. Ayça Deniz
7. Hakan Ezgi Kiziloz
8. Absalom El-Shamir Ezugwu

Citations in the corpus

• A comprehensive survey on recent metaheuristics for feature selection (2022, methodology): “Butterfly Optimization Algorithm (BOA) Arora & Singh proposed the BOA in 2019 [50].”
• Gazelle optimization algorithm: a novel nature-inspired metaheuristic optimizer (2022, methodology): “Popular in this category are the artificial bee colony (ABC) [9, 10], the firefly algorithm (FA) [22], the butterfly optimization algorithm (BOA) [12], the Water strider algorithm (WSA) [32].”
• Coronavirus herd immunity optimizer (CHIO) (2020, neutral): “Evaluation-based Genetic algorithm (GA) [9], evolution strategy (ES) [16], genetic programming (GP) [17], and biogeography-based optimizer (BBO) [18] Swarm-based Particle swarm optimization (PSO) [10], ant colony optimization (ACO) [11], cuckoo search (CS) [19], bat algorithm (BA) [20], ant lion opt”
• Fire Hawk Optimizer: a novel metaheuristic algorithm (2022, background): “2019), Butterfly Optimization Algorithm (BOA) (Arora and Singh 2019), Pity Beetle Algorithm (PBA) (Kallioras et al.”
• Ebola Optimization Search Algorithm: A New Nature-Inspired Metaheuristic Optimization Algorithm (2022, neutral): “Examples of SI-based algorithms are: food foraging behavior of honeybees Artificial Bee Colony (ABC) [24], [25], echolocation ability Ant-lion Optimizer (ALO), luciferin induced glowing behavior Bees Algorithm (BAO), Bat Algorithm (BOA) [26], hunting behavior Bar-”
• Sand Cat swarm optimization: a nature-inspired algorithm to solve global optimization problems (2022, background): “…[33], whale optimization algo-rithm (WOA) [34], dragonfly algorithm (DA) [35], cuckoo search (CS) [36], butterfly optimization algorithm (BOA) [37], wind-driven optimization (WDO) [38], cat swarm optimization (CSO) [39], fruit fly optimization algorithm (FFOA) [40], and flower pollination…”