A Survey of Nature-Inspired Computing: Membrane Computing

被引:52
|
作者
Song, Bosheng [1 ]
Li, Kenli [1 ]
Orellana-Martin, David [2 ]
Perez-Jimenez, Mario J. [2 ]
Perez-Hurtado, Ignacio [2 ]
机构
[1] Hunan Univ, Coll Informat Sci & Engn, Changsha, Peoples R China
[2] Univ Seville, Dept Comp Sci & Artificial Intelligence, Seville, Spain
基金
中国国家自然科学基金;
关键词
Nature-inspired computing; membrane computing; distributed systems; computational complexity; TISSUE P-SYSTEMS; COMPUTATIONAL-EFFICIENCY; ACTIVE MEMBRANES; FAULT-DIAGNOSIS; MINIMAL SYMPORT/ANTIPORT; POWER; COMMUNICATION; UNIVERSALITY; PROTEINS; EVOLUTION;
D O I
10.1145/3431234
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Nature-inspired computing is a type of human-designed computing motivated by nature, which is based on the employ of paradigms, mechanisms, and principles underlying natural systems. In this article, a versatile and vigorous bio-inspired branch of natural computing, named membrane computing is discussed. This computing paradigm is aroused by the internal membrane function and the structure of biological cells. We first introduce some basic concepts and formalisms of membrane computing, and then some basic types or variants of P systems (also named membrane systems) are presented. The state-of-the-art computability theory and a pioneering computational complexity theory are presented with P system frameworks and numerous solutions to hard computational problems (especially NP-complete problems) via P systems with membrane division are reported. Finally, a number of applications and open problems of P systems are briefly described.
引用
收藏
页数:31
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