Looking for someone with experience in Evolutionary Algorithms and Python to develop an EA for the Travelling Salesman Problem (TSP). The algorithm must include:
The algorithm should apply these concepts above and any other additional functionality of your choosing to make the algorithm as efficient as possible. The goal output of the algorithm is to find the best solution to the TSP.
The focus is to get WesternSahara and Uruguay cities working efficiently and accurately, but if you can get Canada cities working well I will look into awarding a bonus.
The instance .txt files are named with the format TSP_[country]_[#cities]. In the instance files, each row provides the two-dimensional coordinates of a city. The fitness should be computed as the complete tour length (starting and ending at the same city). The distance of two cities is the Euclidean distance of their coordinates.
Attached are the .txt instance files and a description with a possible sample output for the algorithm.
13 freelance font une offre moyenne de $179 pour ce travail
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Hello, I am Algorithm expert and interested in this project. I have reviewed the project details and attached files and confident to handle the project perfectly. I will keep codes simple and well documented. Please Plus
Hi. My name is Uzair.I did my masters in Electrical Engineering. I have done my thesis in biomedical signal processing and Machine learning. I have more than 3 years of experience in Python/MATLAB specially in Machin Plus
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Hi, I am an expert in Python Evolutionary Algorithm. I solved many Travelling Salesman Problems using Python. I can do your project perfectly. Thanks.
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