JOURNAL ARTICLE

Solving traveling salesman problem using Kidney-Inspired algorithm

Abdel-Rehim, W. M. F.

Year: 2018 Journal:   Zenodo (CERN European Organization for Nuclear Research)   Publisher: European Organization for Nuclear Research

Abstract

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.

Keywords:
Travelling salesman problem 2-opt Bottleneck traveling salesman problem Christofides algorithm Benchmark (surveying) Process (computing) Optimization problem Extremal optimization

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Topics

Metaheuristic Optimization Algorithms Research
Physical Sciences →  Computer Science →  Artificial Intelligence
Vehicle Routing Optimization Methods
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering
Slime Mold and Myxomycetes Research
Physical Sciences →  Engineering →  Biomedical Engineering

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