Interior search algorithm (ISA): a novel approach for global optimization.

By Amir H. Gandomi. ISA transactions, 2014

415 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics

View Paper: https://www.semanticscholar.org/paper/674a91da956b95b3f28095b129fb83281b96ad97

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Citations in the corpus

An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges (2023, neutral): “Similarly, a few examples include gravitational interactions optimization (GIO), interior search algorithm (ISA), killer whale algorithm (KWA), kinetic gas molecules optimization (KGMO), social spider optimization (SSO), stochastic fractal search (SFS), social group optimization (SGO), and fitness d”
Multi-Verse Optimizer: a nature-inspired algorithm for global optimization (2015, methodology): “The gear ratio is calculated as follows [38]: Gear ratio ¼ angular velocity of output shaft angular velocity of input shaft The parameters of this problem are discrete with the increment size of 1 since they deﬁne the teeth of the gears ( n A , n B , n C , n D ).”
Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm (2015, background): “for a given set of four gears of a train [69,70].”
Coronavirus herd immunity optimizer (CHIO) (2020, background): “…crowds (WAC) [43], b -hill climbing ( b HC) [44], Tabu search (TS) [45], group search optimizer (GSO) [46], interior search algorithm (ISA) [47], seeker optimization algorithm [48], social-based algorithm (SBA) [49], and mine blast algorithm (MBA) [50] Viruses are normally spread and…”
Fire Hawk Optimizer: a novel metaheuristic algorithm (2022, methodology): “2021b), Interior search algorithm (ISA) (Gandomi 2014), and Drone Squadron Optimization (DSO) (de Melo and Banzhaf 2018).”
A novel algorithm for global optimization: Rat Swarm Optimizer (2020, background): “2014a) 2014 Exchange Market Algorithm (EMA) (Ghorbani and Babaei 2014) 2014 Colliding Bodies Optimization (CBO) (Kaveh and Mahdavi 2014) 2014 Interior Search Algorithm (ISA) (Gandomi 2014) 2014 Soccer League Competition (SLC) Algorithm (Moosavian and Roodsari 2014) 2014 Crow Search Algorithm (CSA) (”
The Ant Lion Optimizer (2015, neutral): “The objective is to ﬁnd the optimal number of tooth for four gears of a train for minimizing the gear ratio [79,80].”
A survey on new generation metaheuristic algorithms (2019, methodology): “Gandomi et al. (2013a) propose CSA for solving structural optimization tasks. The algorithm combined with Lévy flights is verified with nonlinear constrained optimization problems. Yang and Deb (2010) propose a new CSA for some standard test functions and newly designed stochastic test functions.”