Teddy
Teddy
 
Nurcahyadi
Nurcahyadi

PhD Student
PhD Student


Department:

Logic and Reasoning
Logic and Reasoning

Position:

PhD Student
PhD Student



Research areas:

  • Combinatorial Optimisation
  • Learning
  • Swarn Computing
  • Combinatorial Optimisation
  • Learning
  • Swarn Computing

Impact areas:

  • Transport / Automotive
  • Transport / Automotive

SDGs:

  • GOAL 11: Sustainable Cities and Communities
  • GOAL 11: Sustainable Cities and Communities

Phone Extension:

234
234

E-mail:

teddy.nurcahyadi@iiia.csic.es
teddy.nurcahyadi@iiia.csic.es

Website:

2021
Teddy Nurcahyadi,  & Christian Blum (2021). Adding Negative Learning to Ant Colony Optimization:A Comprehensive Study. Mathematics, 9. https://doi.org/10.3390/math9040361. [BibTeX]  [PDF]
2020
Teddy Nurcahyadi,  & Christian Blum (2020). A New Approach for Making Use of Negative Learning in Ant Colony Optimization. Marco Dorigo, Thomas Stützle, Maria J. Blesa, Christian Blum, Heiko Hamann, Mary Katherine Heinrich, & Volker Strobel (Eds.), Swarm Intelligence (pp. 16--28). Springer International Publishing. [BibTeX]
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