Mine blast algorithm: A new population based algorithm for solving constrained engineering optimization problems
By Ali Sadollah, Ardeshir Bahreininejad, Hadi Eskandar, Mohd Hamdi. Applied Soft Computing, 2013
880 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Organizational Behavior and Human Resource Management
View Paper: https://www.semanticscholar.org/paper/c27d67b2e84c7643e01a0924531a2906a9cc94d3
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
- Laith Mohammad Abualigah
- Amir H. Gandomi
- Gaurav Dhiman
- Huiling Chen
- Vijay Kumar
- Hossam Faris
In Organizational Behavior and Human Resource Management
- Vijay Kumar
- Jiankai Xue
- Kusum Deep
- Amir H. Gandomi
- Bo Shen
- Seyedali Mirjalili
- Seyed Mohammad Mirjalili
- Gaurav Dhiman
Citations in the corpus
- The Ant Lion Optimizer (2015, neutral): “The second problem is to design a three-bar truss to minimize its weight [72,74].”
- The Arithmetic Optimization Algorithm (2021, background): “This problem has a very restricted search space [39,47].”
- RUN beyond the metaphor: An efficient optimization algorithm based on Runge Kutta method (2021, methodology): “Mirjalili, et al., 2016) GOA (S. Z. Mirjalili, et al., 2018) MFO (S. Mirjalili, 2015b) MBA (Sadollah, Bahreininejad, Eskandar, & Hamdi, 2013) CS (Gandomi, et al., 2013) HHO (Heidari, Mirjalili, et al., S. Mirjalili, et al., 2016) 0.78860276 0.408453070 GOA (S.”
- Dung beetle optimizer: a new meta-heuristic algorithm for global optimization (2022, methodology): “The objective function of this problem can be described as follows: where The results of the DBO algorithm are compared with other optimization approaches which include HHO algorithm [17], SSA [22], MVO algorithm [40], PSO-DE [42], MBA [43], and CS algorithm [44] in previous literature.”
- INFO: An efficient optimization algorithm based on weighted mean of vectors (2022, methodology): “= 1 √2𝐴2+𝐴1 𝑃 − 𝜎 ≤ 0, 0 ≤ 𝐴1, 𝐴2 ≤ 1, 𝑙 = 100 𝑐𝑚, 𝑃 = 2 𝑘𝑁 𝑐𝑚2 , 𝜎 = 2 𝑘𝑁 𝑐𝑚2 The problem was optimized using several meta-heuristic algorithms, such as mothflame optimization (MFO) [79], ant lion optimizer (ALO) [77], cuckoo search (CS) [76], differential evolution with dynamic ”
- 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”