Transiently chaotic simulated annealing based on intrinsic nonlinearity of memristors for efficient solution of optimization problems-Reference-Cited by-同舟云学术

Transiently chaotic simulated annealing based on intrinsic nonlinearity of memristors for efficient solution of optimization problems

Author:

Yang Ke¹^ORCID,Duan Qingxi¹^ORCID,Wang Yanghao¹^ORCID,Zhang Teng¹^ORCID,Yang Yuchao¹²³^ORCID,Huang Ru¹²³^ORCID

Affiliation:

1. Key Laboratory of Microelectronic Devices and Circuits (MOE), Department of Micro/nanoelectronics, Peking University, Beijing 100871, China.

2. Center for Brain Inspired Chips, Institute for Artificial Intelligence, Peking University, Beijing 100871, China.

3. Frontiers Science Center for Nano-optoelectronics, Peking University, Beijing 100871, China.

Abstract

This work shows a memristive optimizer based on transient chaos, which is able to solve optimization problems efficiently.

Funder

National Outstanding Youth Science Fund Project of National Natural Science Foundation of China

National Natural Science Foundation of China

National Key Research and Development Program of China Stem Cell and Translational Research

111 Project

Beijing Academy of Artificial Intelligence

Tencent Foundation

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference40 articles.

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2. Z. Michalewicz D. B. Fogel How to Solve It: Modern Heuristics (Springer 2013).

3. “Neural” computation of decisions in optimization problems;Hopfield J. J.;Biol. Cybern.,1985

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