Solving traveling salesman problem using Kidney-Inspired algorithm

Main Author: Abdel-Rehim, W. M. F.
Format: Proceeding Journal
Terbitan: , 2018
Subjects:
Online Access: https://zenodo.org/record/4587898
Daftar Isi:
  • Nature-inspired algorithms have become attractive from all the meta-heuristic algorithms in the recent literature especially for solving various optimization problems. The Kidney-Inspired algorithm is a Nature-inspired algorithms that have become attractive from all the meta-heuristic algorithms in the recent literature especially for solving various optimization problems. The Kidney-Inspired algorithm is a new optimization algorithm inspired by the kidney process in human body exploration and exploitation capabilities. In this paper, we present a Kidney-Inspired optimization algorithm for solving the traveling salesman problem. The algorithm is tested with benchmark test problems from TSPLIB and it shows a remarkable performance of our proposed approach to solving traveling salesman compared to existing algorithms. new optimization algorithm inspired by the kidney process in human body exploration and exploitation capabilities. In this paper, we present a Kidney-Inspired optimization algorithm for solving the traveling salesman problem. The algorithm is tested with benchmark test problems from TSPLIB and it shows a remarkable performance of our proposed approach to solving traveling salesman compared to existing algorithms.