Random-Key Cuckoo Search for the Travelling Salesman Problem
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Abstract (arXiv)
Combinatorial optimization problems are typically NP-hard, and thus very challenging to solve. In this paper, we present the random key cuckoo search (RKCS) algorithm for solving the famous Travelling Salesman Problem (TSP). We used a simplified random-key encoding scheme to pass from a continuous space (real numbers) to a combinatorial space. We also consider the displacement of a solution in both spaces using Levy flights. The performance of the proposed RKCS is tested against a set of benchmarks of symmetric TSP from the well-known TSPLIB library. The results of the tests show that RKCS is superior to some other metaheuristic algorithms.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 14 Apr 2016.
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Citing papers per year: 2024: 3.
3 papers.
- 2024Visual Reasoning and Multi-Agent Approach in Multimodal Large Language Models (MLLMs): Solving TSP and mTSP Combinatorial Challengescited by 21
- 2024Metaheuristics for (Variable-Size) Mixed Optimization Problems: A Unified Taxonomy and Surveycited by 3
- 2024A Random-Key Optimizer for Combinatorial Optimizationcited by 0
- 2024A Random-Key Optimizer for Combinatorial Optimization6 Nov 2024
- 2024Visual Reasoning and Multi-Agent Approach in Multimodal Large Language Models (MLLMs): Solving TSP and mTSP Combinatorial Challenges26 Jun 2024
- 2024Metaheuristics for (Variable-Size) Mixed Optimization Problems: A Unified Taxonomy and Survey8 Jan 2024