Fireworks Algorithm for Optimization

By Ying Tan, Yuanchun Zhu. International Conference on Swarm Intelligence, 2010

948 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Biomedical Engineering

View Paper: https://www.semanticscholar.org/paper/bf2c921d75705ba8e74df025953d7643cb8e0af4

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. Kashif Hussain
2. Michalis Mavrovouniotis
3. Shi Cheng
4. M. N. Mohd Salleh
5. Swagatam Das
6. Shengxiang Yang
7. Changhe Li
8. Yuhui Shi

In Biomedical Engineering

1. Yang Yu
2. Shi Cheng
3. Kusum Deep
4. Swagatam Das
5. Shengxiang Yang
6. Michalis Mavrovouniotis
7. M. N. Mohd Salleh
8. Kanchan Rajwar

Citations in the corpus

• A novel algorithm for global optimization: Rat Swarm Optimizer (2020, neutral): “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”
• Water wave optimization: A new nature-inspired metaheuristic (2015, background): “, have been extensively studied; on the other hand, a variety of novel EAs, such as invasive weed optimization (IWO) [9], water drops algorithm [10], biogeography-based optimization (BBO) [11], cuckoo search [12], fireworks algorithm [13], bat algorithm (BA) [14], etc.”
• Chaotic Local Search-Based Differential Evolution Algorithms for Optimization (2021, methodology): “Five state-of-the-art DEs, i.e., SaDE, SHADE, JADE, jDE, and EPSDE, and three other optimization algorithms, including TLBO [11], fireworks algorithm (FWA) [71], and ABC algorithm [72], [73] are used to compare with CJADE-M.”
• Coronavirus herd immunity optimizer (CHIO) (2020, background): “…system search (CSS) [40], big bang–big crunch (BBBC) [41], and Henry gas solubility optimization (HGSO) [42] Human-Based Fireworks algorithm (FA) [15], harmony search algorithm (HSA) [14], wisdom of artificial crowds (WAC) [43], b -hill climbing ( b HC) [44], Tabu search (TS) [45], group search…”
• A survey of swarm intelligence for dynamic optimization: Algorithms and applications (2017, background): “, the fireworks algorithms inspired by the fireworks explosions [88].”
• An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges (2023, background): “(2022) 198 Firefly Algorithm (FA) Yang (2009) 199 Fireworks Algorithm (FA) Tan and Zhu (2010) 200 Fireworks Optimization Algorithm (FOA) Ehsaeyan and Zolghadrasli (2022) 201 Fish School Search (FSS) Bastos Filho et al.”
• Metaheuristic research: a comprehensive survey (2018, methodology): “Table 4 Acronyms of metaheuristics abbreviations used in this study Abbreviations Acronyms AAA Alienated Ant Algorithm (Uymaz et al. 2015) AAA2 Artificial Algae Algorithm (Bandieramonte et al. 2010) ABC Artificial Bee Colony (Karaboga 2005) ABO African Buffalo Optimization (Odili and Mohmad Kahar 20”
• Metaheuristic algorithms for PID controller parameters tuning: review, approaches and open problems (2022, methodology): “2010 Fireworks algorithm Tan and Zhu (2010) 36.”