Colliding bodies optimization: A novel meta-heuristic method

By Ali Kaveh, Vahid Reza Mahdavi. 2014

659 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/5f9fc5caa62c6691c6d60805dc98486fb85818a9

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. Gaurav Dhiman
3. Vijay Kumar
4. Seyedali Mirjalili
5. Ayça Deniz
6. Hakan Ezgi Kiziloz
7. Shahrzad Saremi
8. Andrew Lewis

In Computational Theory and Mathematics

1. Tansel Dökeroğlu
2. Gaurav Dhiman
3. Vijay Kumar
4. Seyedali Mirjalili
5. Ayça Deniz
6. Hakan Ezgi Kiziloz
7. Shahrzad Saremi
8. Andrew Lewis

In Computer Vision and Pattern Recognition

1. Tansel Dökeroğlu
2. Seyedali Mirjalili
3. Ayça Deniz
4. Hakan Ezgi Kiziloz
5. Mengchu Zhou
6. Yang Yu
7. Shahrzad Saremi
8. Andrew Lewis

Citations in the corpus

• Chaotic Local Search-Based Differential Evolution Algorithms for Optimization (2021, background): “Gravitational search algorithm (GSA) [8] and colliding bodies optimization (CBO) [9] are implemented by a physics-based mechanism.”
• Grasshopper Optimisation Algorithm: Theory and application (2017, positive): “Solving structural design problems using stochastic optimisation techniques has been a popular research direction in the literature [46-54].”
• A comprehensive survey on recent metaheuristics for feature selection (2022, methodology): “In addition, Colliding Bodies Optimization is another metaheuristic proposed by Kaveh and Mahdavi [219].”
• The Ant Lion Optimizer (2015, neutral): “…Search (CSS) [30–33], Magnetic Charged System Search [34,35], Ray Optimization (RO) [36–38] algorithm, Colliding Bodies Optimization (CBO) [39–44] algorithm, Hybrid Particle Swallow Swarm Optimization (HPSSO) [45], Democratic Particle Swarm Optimization (DPSO) [46,47], Dolphin Echolocation…”
• 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) (”
• Metaheuristic algorithms for PID controller parameters tuning: review, approaches and open problems (2022, background): “2014 Colliding Bodies Optimization (CBO) Kaveh and Mahdavi (2014) 45.”