Backtracking Search Optimization Algorithm for numerical optimization problems

By Pinar Çivicioglu. Applied Mathematics and Computation, 2013

1,046 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics

View Paper: https://www.semanticscholar.org/paper/f7c3ba5a6a83b135c97407865e2e4ee74a478860

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. Swagatam Das
2. Iztok Fister
3. Janez Brest
4. Kashif Hussain
5. Shi Cheng
6. M. N. Mohd Salleh
7. Kusum Deep
8. Dusan Fister

In Computational Theory and Mathematics

1. Janez Brest
2. Swagatam Das
3. Iztok Fister
4. Kusum Deep
5. Kanchan Rajwar
6. Dusan Fister
7. Hamid Salimi
8. Xin-She Yang

Citations in the corpus

• Artificial ecosystem-based optimization: a novel nature-inspired meta-heuristic algorithm (2019, background): “…[22], genetic programming (GP) [23], selfish gene algorithm (SGA) [24], shuffled frog leaping algorithm (SFLA) [25], biogeography-based optimization (BBO) [26], artificial algae algorithm (AAA) [27], backtracking search optimization algorithm (BSA) [28], and fruit fly optimization algorithm (FOA) [29].”
• A Brief Review of Nature-Inspired Algorithms for Optimization (2013, methodology): “mization Shayeghi and Dadashpour [54] Harmony search Geem et al. [23] Artificial cooperative search Civicioglu [9] Intelligent water drop Shah-Hosseini [52] Backtracking optimization search Civicioglu [11] River formation dynamics Rabanal et al. [49] Differential search algorithm Civicioglu [10] Self”
• Henry gas solubility optimization: A novel physics-based algorithm (2019, neutral): “The most popular algorithms are the virus colony search [30], and backtracking optimization search [31].”
• Stochastic Fractal Search: A powerful metaheuristic algorithm (2015, methodology): “To evaluate CEC 2010 benchmark functions , the results of SFS are compared with state - of - the art algorithms in relevant litera - ture such as : BSA [ 32 ] , CMA - ES .”
• 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”
• An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges (2023, background): “…Process (ACP) Irizarry (2004) 26 Artificial Chemical Reaction Optimization Algorithm (ACROA) Alatas (2011) 27 Artificial Cooperative Search (ACS) Civicioglu (2013a) 28 Artificial Coronary Circulation System (ACCS) Kaveh and Kooshkebaghi (2019) 29 Artificial Ecosystem Algorithm (AEA) Adham and…”