Biological systems are self-organizing, tolerant of manufacturing defects, and they adapt, rather than being programmed, to their environments. The problems they solve involve the interaction of an organism/system with the real world. Bioinspired computation is the use of computers to model nature and simultaneously the study of natural biological systems to improve the usage of computers. It is a major subset of natural computation. Recently, Bioinspired computation such as evolutionary computation, swarm intelligence bacterial foraging, cultural algorithms, neural networks, and molecular computing is becoming increasingly important in face of the complexity of today’s demanding applications.

The objective of this special issue is to bring researchers from academia and industry together to report and explore some new bioinspired algorithms and review the latest progress in this field. Relevant topics include, but are not limited to:

Theories, Methodologies and Experimental Results

• DNA and molecular computing
• Biological computing
• Swarm intelligence
• Canonical duality theory and algorithms
• Membrane computing
• Memetic computing

Applications

• Computational neuroscience
• Artificial life and artificial immune systems
• DNA nanotechnology
• Web and networks
• Multiobjective optimization
• Bioinformatics and cheminformatics
• Parallel computing
• Natural language processing
• Machine learning and decision science
• Complex system modeling and simulations
• Software engineering
• Scheduling and timetabling

Before submission authors should carefully read over the journal’s Author Guidelines, which are located at http://www.hindawi.com/journals/tswj/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/tswj/computer.science/rabc/ according to the following timetable: