Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In this study, a new mutation operator has been developed to increase Genetic Algorithm (GA) performance to find the shortest distance in the known Traveling Salesman Problem (TSP).  called this method as Greedy Sub Tour Mutation (GSTM). There exist two different greedy search methods and a component that provides a distortion in this new operator. The developed GSTM operator was tested with simple GA mutation operators in 14 different TSP examples selected from TSPLIB. The application of this GSTM operator gives much more effective results regarding to the best and average error values. The GSTM operator used with simple GAs decreases the best error values according to the other mutation operators with the ratio of beten 74.24% and 88.32% and average error values beten 59.42% and 79.51%.
['Murat Albayrak', 'Novruz Allahverdi']
I am writing a research paper on a idea Development a new mutation operator to solve the Traveling Salesman Problem by aid of Genetic Algorithms
[{"from": "human", "value": "I am writing a research paper on a idea Development a new mutation operator to solve the Traveling Salesman Problem by aid of Genetic Algorithms"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In this study, a new mutation operator has been developed to increase Genetic Algorithm (GA) performance to find the shortest distance in the known Traveling Salesman Problem (TSP).  called this method as Greedy Sub Tour Mutation (GSTM). There exist two different greedy search methods and a component that provides a distortion in this new operator. The developed GSTM operator was tested with simple GA mutation operators in 14 different TSP examples selected from TSPLIB. The application of this GSTM operator gives much more effective results regarding to the best and average error values. The GSTM operator used with simple GAs decreases the best error values according to the other mutation operators with the ratio of beten 74.24% and 88.32% and average error values beten 59.42% and 79.51%."}]