Improved ant colony algorithm and its application in water conservancy project management

In order to improve the multiobjective decision effectively in water conservancy project management,an improved ant colony optimization algorithm was proposed.In this algorithm,pheromone was initialized using the global search ability of genetic algorithm,and the mutation operation and crossover operation were introduced to improve the efficiency of the optimal solution.Engineering case study showed that the improved algorithm can quickly converge to achieve optimal solution and guarantee the quality of solution.In comparison with the genetic algorithm and ant colony algorithm,it has better optimization ability for multi objective decision making problem.This study provides a new method for water conservancy project management.

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