Multi-Verse Optimizer: a nature-inspired algorithm for global optimization

By Seyedali Mirjalili, Abdolreza Hatamlou. Neural computing & applications (Print), 2015

2,625 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics

View Paper: https://www.semanticscholar.org/paper/89ffa6bb27865de5d7ed3b335439df37b9666316

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. Tansel Dökeroğlu
2. Laith Mohammad Abualigah
3. Ali Asghar Heidari
4. Seyedali Mirjalili
5. Amir H. Gandomi
6. Gaurav Dhiman
7. Huiling Chen
8. Vijay Kumar

In Computational Theory and Mathematics

1. Ali Asghar Heidari
2. Gaurav Dhiman
3. Vijay Kumar
4. Tansel Dökeroğlu
5. Huiling Chen
6. Pavel Trojovský
7. Mohammad Dehghani
8. Amir H. Gandomi

Citations in the corpus

• STOA: A bio-inspired based optimization algorithm for industrial engineering problems (2019, background): “MFO and MVO are the second and third best optimization algorithms, respectively.”
• Hippopotamus optimization algorithm: a novel nature-inspired optimization algorithm (2024, background): “Some of the algorithms in this category include Simulated Annealing (SA) 84 , Snow Ablation Optimizer (SAO) 85 , Electromagnetic Field Optimization (EFO) 86 , Light Spectrum Optimization (LSO) 87 , String Theory Algorithm (STA) 88 , Harmony Search (HS) 89 , Multi-Verse Optimizer (MVO) 90 , Black Hol”
• Dung beetle optimizer: a new meta-heuristic algorithm for global optimization (2022, methodology): “The optimization results achieved by the DBO algorithm are compared with other techniques including WOA [16], HHO algorithm [17], GWO algorithm [15], CPSO algorithm [45], GSA [46], PSO algorithm [45], MVO algorithm [40], HPSO algo-rithm [47], and PSO-SCA [42].”
• A survey on new generation metaheuristic algorithms (2019, methodology): “Population-based Sine Cosine Optimization Algorithm (SCA) is proposed by Mirjalili (2016b).”
• Harris hawks optimization: Algorithm and applications (2019, neutral): “The results of HHO are compared to those reported for DEDS [64], MVO [65], GOA [62], MFO [56], PSO-DE [66], SSA [60], MBA [67], Tsa [68], Ray and Sain [69], and CS [34] in previous literature.”
• Support vector regression optimized by meta-heuristic algorithms for daily streamflow prediction (2020, background): “More information about this meta-heuristic algorithm can be found in Aljarah et al. (2020) and Mirjalili et al. (2016).”