GSA: A Gravitational Search Algorithm
By Esmat Rashedi, Hossein Nezamabadi-pour, Saeid Saryazdi. Information Sciences, 2009
7,038 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Biomedical Engineering
View Paper: https://www.semanticscholar.org/paper/034b2b97e6b23061f6f71a5e19c1b03bf4c19ec8
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
- Seyedali Mirjalili
- Ali Asghar Heidari
- Tansel Dökeroğlu
- Seyed Mohammad Mirjalili
- Amir H. Gandomi
- Gaurav Dhiman
- Vijay Kumar
- Andrew Lewis
In Biomedical Engineering
- Seyedali Mirjalili
- Andrew Lewis
- Gaurav Dhiman
- Vijay Kumar
- Yongquan Zhou
- Xin-She Yang
- Tansel Dökeroğlu
- Seyed Mohammad Mirjalili
Citations in the corpus
- Emperor penguin optimizer: A bio-inspired algorithm for engineering problems (2018, methodology): “Algorithms Optimum variables Optimum cost b m p l1 l2 d1 d2 EPO 3.50123 0.7 17 7.3 7.8 3.33421 5.26536 2994.2472 SHO 3.50159 0.7 17 7.3 7.8 3.35127 5.28874 2998.5507 GWO 3.506690 0.7 17 7.380933 7.815726 3.357847 5.286768 3001.288 PSO 3.500019 0.7 17 8.3 7.8 3.352412 5.286715 3005.763 MVO 3.508502 0”
- A comprehensive survey on recent metaheuristics for feature selection (2022, methodology): “GSA is designed based on the laws of gravity and motion [36] .”
- An improved grey wolf optimizer for solving engineering problems (2021, background): “Some popular algorithms in this category are big bang-big crunch (BB-BC) (Erol et al., 2006), gravitational search algorithm (GSA) (Rashedi et al., 2009), charged system search (CSS) (Kaveh et al., 2010), ray optimization (RO) (Kaveh et al., 2012), black hole (BH) (Hatamlou, 2013), atom search…”
- Northern Goshawk Optimization: A New Swarm-Based Algorithm for Solving Optimization Problems (2021, background): “Simulation of the gravitational force that objects exert on each other at different distances has led to the design of a Gravitational Search Algorithm (GSA) [19].”
- Archimedes optimization algorithm: a new metaheuristic algorithm for solving optimization problems (2020, methodology): “…from the discipline of Physics are: charged system search (CSS) [22] follows Coulomb and Newtonian’s laws, gravitational search algorithm (GSA) [23] based on gravitational theory, ray optimization (RO) [24] observes ray theory and Henry gas solubility optimization (HGSO) based on Henry law…”
- Binary bat algorithm (2013, background): “Most of the wellknown meta-heuristic algorithms such as harmony search (HS) [15], differential evolution algorithm (DE) [16], magnetic optimization algorithm (MOA) [17], and gravitational search algorithm (GSA) [5] have binary versions which make them capable of optimizing binary problems.”
- A survey on nature inspired metaheuristic algorithms for partitional clustering (2014, positive): “[285] E. Rashedi, Gravitational search algorithm (M.Sc. thesis), Shahid Bahonar University of Kerman, Kerman, Iran, 2007.”
- Lion Optimization Algorithm (LOA): A nature-inspired metaheuristic algorithm (2016, neutral): “003 is compared with six recent popular metaheuristic methods (Invasive weed optimization (IWO) [30] algorithm, biogeography-based optimization (BBO) [33] algorithm, gravitational search algorithm (GSA) [63], hunting search (HuS) algorithm [64], bat algorithm (BA) [37], Water wave optimization (WWO)”
- GRAVITATIONAL SEARCH ALGORITHM FOR ECONOMIC DISPATCH WITH VALVE-POINT EFFECTS (2010, background): “The gravitational force between two particles is directly proportional to the product of their masses and inversely proportional to the square of the distance between them [19].”
- Backtracking Search Optimization Algorithm for numerical optimization problems (2013, methodology): “EAs must have global exploration and local exploitation abilities [12,31].”