An improved artificial bee algorithm for constrained problems
LI Xiu-ya · Information technology newsletter · 2015
Artificial bee colony( ABC) algorithm is an algorithm based on the behavior of bees in nature,the algorithm has been applied in different constraints problems,it can effectively solve 0- 1knapsack constraints problems and so on. This paper presents a practical rule-based optimization and multi-objective improved artificial bee colony algorithm. In order to solve the shortcomings of poor local search ability,low accuracy,easy to be trapped into local optimum that ABC algorithm exists,it presents an improved ABC by changing some parameters to improve the convergence speed,accuracy. Based on the famous 13 questions to test the constraint validation,the experiments show that the optimal solution and the average solution of improved ABC algorithm is superior to the original artificial bee colony algorithm.