Random Key Cuckoo Search for the Quadratic Assignment Problem

Journal Title: Transactions on Machine Learning and Artificial Intelligence - Year 2017, Vol 5, Issue 4

Abstract

This paper proposes an adaptation of the RandomKey Cuckoo Search (RKCS) algorithm for solving the famous Quadratic Assignment Problem (QAP). We used a simplified and efficient randomkey encoding scheme to convert a continous space (real numbers) into a combinatorial space. We also considered the displacement of a solution in both spaces by using Le´vy flights. The performance of the RKCS for QAP is tested against a set of benchmarks of QAP from the wellknown QAPLIB library, and the comparison with a set of other methaheuristics is also carried out.

Authors and Affiliations

Aziz Ouaarab, Bela¨ıd Ahiod, Xin-She Yang

Keywords

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  • EP ID EP310352
  • DOI 10.14738/tmlai.54.3666
  • Views 81
  • Downloads 0

How To Cite

Aziz Ouaarab, Bela¨ıd Ahiod, Xin-She Yang (2017). Random Key Cuckoo Search for the Quadratic Assignment Problem. Transactions on Machine Learning and Artificial Intelligence, 5(4), 842-851. https://europub.co.uk/articles/-A-310352