Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: When solving a combinatorial optimization problem with the Ant Colony Optimization (ACO) metaheuristic, one usually has to find a compromise beten guiding or diversifying the search. Indeed, ACO uses pheromone to attract ants. When increasing the sensibility of ants to pheromone, they converge quicker towards a solution but, as a counterpart, they usually find worse solutions. ,  first study the influence of ACO parameters on the exploratory ability of ants.  then study the evolution of the impact of pheromone during the solution process with respect to its cost's management.  finally propose to introduce a preprocessing step that actually favors a larger exploration of the search space at the beginning of the search at low cost.  illustrate our approach on Ant-Solver, an ACO algorithm that has been designed to solve Constraint Satisfaction Problems, and  show on random binary problems that it allows to find better solutions more than twice quicker.
['Christine Solnon']
I am writing a research paper on a idea Boosting ACO with a Preprocessing Step
[{"from": "human", "value": "I am writing a research paper on a idea Boosting ACO with a Preprocessing Step"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: When solving a combinatorial optimization problem with the Ant Colony Optimization (ACO) metaheuristic, one usually has to find a compromise beten guiding or diversifying the search. Indeed, ACO uses pheromone to attract ants. When increasing the sensibility of ants to pheromone, they converge quicker towards a solution but, as a counterpart, they usually find worse solutions. ,  first study the influence of ACO parameters on the exploratory ability of ants.  then study the evolution of the impact of pheromone during the solution process with respect to its cost's management.  finally propose to introduce a preprocessing step that actually favors a larger exploration of the search space at the beginning of the search at low cost.  illustrate our approach on Ant-Solver, an ACO algorithm that has been designed to solve Constraint Satisfaction Problems, and  show on random binary problems that it allows to find better solutions more than twice quicker."}]