원문정보
초록
영어
The extension of ant colony algorithm was proposed by Dorigo, the founder of ant colony algorithm, which is the latest ant colony algorithm for solving a continuous space optimization problem. Considering the blindness of man-made choice of initial solution and initial parameters of the algorithm, and according to the algorithm converging slowly and easily falling into local optimum, this paper has provided improvement strategy for this optimization. It has introduced quantum computing and genetic algorithm, chaos optimization to carry out combination and comparison, and it has carried out improvement on the weight internally solved by memory in the algorithm. The effectiveness of various combined algorithms was determined through the optimization of numerous multi-dimensional continuous functions.
목차
1. Introduction
2. Extension of Ant Colony Algorithm
2.1. The Process of Extension of Ant Colony Optimization
2.2. Algorithm Analysis
3. Improvement on ACOR Algorithm Integrated with Intelligent Algorithm
3.1. Improvement on Extension of Ant Colony Algorithm Integrated with Genetic Algorithm
3.2. Improvement on ACOR Integrated with Chaos Optimization
4. Solving the Multi-dimensional Continuous Function by Improved ACOR
4.1. Test Function
4.2. Parameter Selection
4.3. Simulation Result
5. Conclusions
References