A self-adaptive global best harmony search algorithm for continuous optimization problems

By Quan-Ke Pan, Ponnuthurai Nagaratnam Suganthan, Mehmet Fatih Tasgetiren, Jing J. Liang. Applied Mathematics and Computation, 2010

378 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics

View Paper: https://www.semanticscholar.org/paper/d0547c6f3cd2146986fed878fd0c60b0c99355a8

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. Ajith Abraham
2. Václav Snásel
3. Varun Ojha
4. Enrique Alba
5. Andrés Camero
6. Jamal Toutouh

In Computational Theory and Mathematics

1. Ajith Abraham
2. Václav Snásel
3. Varun Ojha

Citations in the corpus

• Metaheuristic design of feedforward neural networks: A review of two decades of research (2017, methodology): “Moreover, the efficiency of HS comes from using m many harmonies (weight vectors), and iteratively improvising each harmony by computing new harmony (new solution vectors) using heuristic inspired by music pitch modification [117,177,178].”