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
Abstract 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
키워드
Heuristic algorithmTeaching-learning-based optimization algorithmAdaptive direction strategyNonlinear optimization
저자
Xu Sun [ Heilongjiang Institute of Technology, Harbin, China ]
Mengying He [ Northeast Agricultural University, Harbin, China ]
Leilei Kong [ Heilongjiang Institute of Technology, Harbin, China ]
Haoliang Qi [ Heilongjiang Institute of Technology, Harbin, China ]
보안공학연구지원센터(IJUNESST) [Science & Engineering Research Support Center, Republic of Korea(IJUNESST)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of u- and e- Service, Science and Technology
간기
격월간
pISSN
2005-4246
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of u- and e- Service, Science and Technology Vol.9 No.4