Cuckoo Search learning strategy in the principal-agent model

Principal-Agent problem using Cuckoo Search (CS) via Lévy flights

This program searches the optimal solution of Principal-Agent problem using Cuckoo Search (CS) via Lévy flights (implements Cuckoo Search algorithm of Xin-She Yang) and runs simulations for paper Kerényi (2018) and compares the performance indicators with Social Evolutionary Learning (Arifovic, J. & Karaivanov, A.).
Papers:
1) Yang, X.-S. & Deb, S. (2009): Cuckoo search via Levy flights. Proc. of World Congress on Nature & Biologically Inspired Computing (NaBIC 2009), December 2009, India, IEEE Publications, USA, pp. 210-214 DOI: https://doi.org/10.1109/NABIC.2009.5393690

2) Arifovic, J. & Karaivanov, A. (2010): Learning by doing vs. learning from others. Journal of Economic Dynamics & Control, 34(10), pp. 1967-1992 DOI: https://doi.org/10.1016/j.jedc.2010.04.007

3) Kerényi, P. (2018): Kakukk-algoritmus tanulási stratégia a megbízó-ügynök modellben. (Cuckoo Search learning strategy in the principal-agent model)