상세정보
학술대회
Stochastic Differential Equation of the Quantization based Optimization
- 발행일
- 202210
- 출처
- International Conference on Information and Communication Technology Convergence (ICTC) 2022, pp.1-3
- 협약과제
- 22HS2800, 신경망 응용 자동생성 및 실행환경 최적화 배포를 지원하는 통합개발 프레임워크 기술개발, 조창식
- 초록
- We propose a stochastic differential equation for a quantization-based optimization algorithm. A fundamental differential equation describes the state transition by an algorithm to analyze the dynamics of an optimization algorithm. According to the White Noise Hypothesis of quantization error with dense and uniform distribution, we can regard the quantization error as an identically independent distribution(i.i.d.) white noise. It leads that we can obtain a stochastic equation about the quantization-based optimization algorithm to analyze the global dynamics. Numerical experiments show that the proposed algorithm involves better performance than the conventional optimization algorithm, such as simulated annealing.
- KSP 제안 키워드
- Global dynamics, Numerical experiments, Optimization algorithm, Quantization error, Simulated Annealing(SA), State Transition, Stochastic differential equation(SDE), Uniform Distribution, White noise