Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: An evolutionary algorithm is proposed for non-Euclidean instances.A hybrid method using variable fixing is used as local search.Good calibration of algorithmic parameters can produce better solutions against literature results.  tackles a Traveling Salesman Problem variant called Traveling Car Renter Problem, where one car renter desires to travel among cities using a rented vehicle. Basically, the car renter has two options when he/she arrives in a city: to return the vehicle and rent another one or to keep the same car until the next city. Every time a car is delivered in a city, a return fee must be paid. Travel cost beten any pair of cities also depends on the chosen car. The objective is to establish a Hamiltonian cycle minimizing the travel costs and returning fees. An evolutionary algorithm (EA) and a hybrid method called Adaptive Local Search Procedure (ALSP) are proposed for this problem. Both re compared to the best known algorithm in literature and obtained better results for non-Euclidean instances. Such algorithms compose an efficient model for a better exploration of the problem solutions space. From the expert system point-of-view,  propose a novel inference engine with minimized results error.
['André Renato Villela da Silva', 'Luiz Satoru Ochi']
I am writing a research paper on a idea An efficient hybrid algorithm for the Traveling Car Renter Problem
[{"from": "human", "value": "I am writing a research paper on a idea An efficient hybrid algorithm for the Traveling Car Renter Problem"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: An evolutionary algorithm is proposed for non-Euclidean instances.A hybrid method using variable fixing is used as local search.Good calibration of algorithmic parameters can produce better solutions against literature results.  tackles a Traveling Salesman Problem variant called Traveling Car Renter Problem, where one car renter desires to travel among cities using a rented vehicle. Basically, the car renter has two options when he/she arrives in a city: to return the vehicle and rent another one or to keep the same car until the next city. Every time a car is delivered in a city, a return fee must be paid. Travel cost beten any pair of cities also depends on the chosen car. The objective is to establish a Hamiltonian cycle minimizing the travel costs and returning fees. An evolutionary algorithm (EA) and a hybrid method called Adaptive Local Search Procedure (ALSP) are proposed for this problem. Both re compared to the best known algorithm in literature and obtained better results for non-Euclidean instances. Such algorithms compose an efficient model for a better exploration of the problem solutions space. From the expert system point-of-view,  propose a novel inference engine with minimized results error."}]