Opposition based learning: A literature review

By Sedigheh Mahdavi, Shahryar Rahnamayan, Kalyanmoy Deb. Swarm and Evolutionary Computation, 2017

426 citations recorded by the source corpus.

Subfields: Artificial Intelligence

View Paper: https://www.semanticscholar.org/paper/ca7b56714727190abc201643750b22a58dd5c8a6

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. Seyedali Mirjalili
3. Xin-She Yang
4. Ponnuthurai Nagaratnam Suganthan
5. Seyed Mohammad Mirjalili
6. Francisco Herrera
7. Pinar Çivicioglu
8. Andrew Lewis

Citations in the corpus

• Error Metrics and Performance Fitness Indicators for Artificial Intelligence and Machine Learning in Engineering and Sciences (2020, background): “Learning is the process of seeking knowledge [1].”
• Bio-inspired computation: Where we stand and what's next (2019, background): “Besides other multiple scenarios leveraging this profitable complementarity (such as feature selection/construction [435], oppositionbased learning for bio-inspired optimization methods [436] or their hybridization with elements from Reinforcement Learning [437]), possibilities for the future are fo”