自然计算研究进展

Research advance on natural computing

自然计算是计算机科学与人工智能领域中重要的研究内容之一.经过几十年的发展,已经逐渐发展成为涉及多个学科的新兴交叉研究领域,其研究目的在于从自然界中寻求解决人类所面临的复杂问题的方法.早期自然计算主要集中在进化计算、人工神经网络、模糊系统3个主要方面,近20年研究人员提出群体智能、人工免疫系统、DNA计算等新方法.对群体智能等新方法的研究现状、发展趋势、存在的问题进行分析,指出未来发展重点和方向.

Natural computing is one of the important research areas in the field of computer science and artificial intelligence.It is a new research field which involves many disciplines following development spanning several decades.The aim of natural computing is to seek for the solution to difficult problems faced by humans from nature.Natural computing focused on evolution computing,artificial neural networks,and fuzzy systems in its early days.Over the last two decades,several new natural computing methods,such as swarm intelligence,artificial immune systems,and DNA computing have been proposed.In this paper,it presents research situations,development tendencies,and other matters surrounding new methods such as swarm intelligence were analyzed.Areas of future emphasis and direction in development were also pointed out.