A new Multiobjective Artificial Bee Colony algorithm to solve a real-world frequency assignment problem

Author:

da Silva Maximiano Marisa,Vega-Rodríguez Miguel A.,Gómez-Pulido Juan A.,Sánchez-Pérez Juan M.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference36 articles.

1. Aardal KI, van Hoesel CPM, Koster AMCA, Mannino C, Sassano A (2003) Models and solution techniques for the frequency assignment problem. 4OR 1(4):261–317. http://fap.zib.de

2. Arsuaga-Rios M, Vega-Rodriguez M, Prieto-Castrillo F (2011) Multi-objective artificial bee colony for scheduling in grid environments. In: IEEE symposium on swarm intelligence (SIS), 2011, pp 1–7

3. Babu B, Gujarathi AM (2007) Multi-objective differential evolution (mode) algorithm for multi-objective optimization: parametric study on benchmark test problems. J Future Eng Technol 3(1):47–59

4. Babu B, Jehan M (2003) Differential evolution for multi-objective optimization. In: The 2003 congress on evolutionary computation, 2003, vol 4. CEC‘03, pp 2696–2703

5. Chaves-González JM et al (2008) SS vs PBIL to solve a real-world frequency assignment problem in GSM networks. In: EvoWorkshops, Lecture Notes in Computer Science, vol 4974. Springer, Berlin, pp 21–30

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