Symbiotic Organisms Search: A new metaheuristic optimization algorithm

By Min-Yuan Cheng, Doddy Prayogo. 2014

1,480 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics

View Paper: https://www.semanticscholar.org/paper/ab32b85b65c669f60c6ba2080621f4a4e4bdb097

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. Ali Asghar Heidari
2. Seyedali Mirjalili
3. Amir H. Gandomi
4. Huiling Chen
5. Laith Mohammad Abualigah
6. Iman Ahmadianfar
7. Ali Diabat
8. Kusum Deep

In Computational Theory and Mathematics

1. Ali Asghar Heidari
2. Seyedali Mirjalili
3. Huiling Chen
4. Amir H. Gandomi
5. Laith Mohammad Abualigah
6. Iman Ahmadianfar
7. Parham Pahlavani
8. Kusum Deep

Citations in the corpus

• Grasshopper Optimisation Algorithm: Theory and application (2017, neutral): “The results are presented and compared to ALO, MMA, GCA_I, GCA-II, CS, and SOS for verification in Table 9.”
• INFO: An efficient optimization algorithm based on weighted mean of vectors (2022, methodology): “9 ≥ tf ≤ 5, The problem was optimized by the adaptive response surface method (ARSM) [83], CS [76], improved ARSM (IARSM) [83], and symbiotic organisms search (SOS) [75].”
• A novel Random Walk Grey Wolf Optimizer (2019, methodology): “Secondly, its performance is exhibited in comparison with GWO and state of art algorithms GSA, CS, BBO and SOS on IEEE CEC 2014 benchmark problems.”
• Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm (2015, methodology): “The most recent ones are: Harmony Search (HS) optimization algorithm [39], Mine Blast Algorithm (MBA) [40], Symbiotic Organisms Search (SOS) [41], Soccer League Competition (SLC) algorithm [42], Seeker Optimization Algorithm (SOA) [43], Coral Reef Optimization (CRO) algorithm [44], Flower Pollinatio”
• Coyote Optimization Algorithm: A New Metaheuristic for Global Optimization Problems (2018, methodology): “Swarm Optimization (PSO) [13] and the Symbiotic Organisms Search (SOS) [14].”
• An efficient modified grey wolf optimizer with Lévy flight for optimization tasks (2017, methodology): “In addition, LGWO can provide significantly better results than other techniques such as SOS and CMA-ES.”
• The Arithmetic Optimization Algorithm (2021, methodology): “Conventional methods of this group include Krill Herd Algorithm [20], Salp Swarm Algorithm [20], Symbiotic Organisms Search [21], Sine Cosine Algorithm [22], and Dolphin Echolocation [23].”