원문정보
초록
영어
In the real life learning process, the teacher communicates with the students for a better learning outcome. The teaching-learning-based optimization (TLBO) algorithm simulates this procedure and shows its great performance in solving the constrained and unconstrained nonlinear optimization problem. This paper presents an adaptive direction strategy(ADS )t o improve the searching ability for the TLBO algorithm. The improved algorithm is tested through searching the optimal points for a few typical testing functions. The testing result shows that the improved TLBO algorithm could obtain better optimal solutions in shorter time. Compared to the normal TLBO algorithm, the stability and effectiveness of the improved algorithm are increased greatly.
목차
1. Introduction
2. Basic TLBO
2.1. Teacher Phase
2.2. Leaner Phase
3. ADS
3.1. The Application of the ADS in the Teaching Phase
3.2 The Application of ADS in the Learner Phase
3.3. The Evolution Process of the Improved TLBO
4. Testing and Analysis
5. Conclusion
Acknowledgment
References