很經典的一個算法。大家做工程和通信用的著。遺傳算法（Genetic Algorithm）是模擬達爾文的遺傳選擇和自然淘汰的生物進化過程的計算模型，是一種通過模擬自然進化過程搜索最優解的方法，它是有美國Michigan大學J.Holland教授于1975年首先提出來的，并出版了頗有影響的專著《Adaptation in Natural and Artificial Systems》，GA這個名稱才逐漸為人所知，J.Holland教授所提出的GA通常為簡單遺傳算法（SGA）。
Programming language: Developed in Omnet++.
Comment: The model implements the AntNet routing algorithm proposed in: G. Di Caro and M. Dorigo. AntNet: Distributed Stigmergetic Control for Communications Networks. Journal of Artificial Intelligence Research, 9:317-365, 1998. It reqires OMNeT++ 2.3 or later.
Sound Synthesis Methods.
Typical features of abstract algorithms are the simplicity and ease of implementation.
The sound is more or less Artificial compared to more sophisticated methods.
A major societal challenge for the decades to come will be the delivery of effective
medical services while at the same time curbing the growing cost of healthcare.
It is expected that new concepts-particularly electronically assisted healthcare will
provide an answer. This will include new devices, new medical services as well
as networking. On the device side, impressive innovation has been made possible
by micro- and nanoelectronics or CMOS Integrated Circuits. Even higher accuracy
and smaller form factor combined with reduced cost and increased convenience
of use are enabled by incorporation of CMOS IC design in the realization of biomedical
systems. The compact hearing aid devices and current pacemakers are
good examples of how CMOS ICs bring about these new functionalities and services
in the medical field. Apart from these existing applications, many researchers
are trying to develop new bio-medical solutions such as Artificial Retina, Deep
Brain Stimulation, and Wearable Healthcare Systems. These are possible by combining
the recent advances of bio-medical technology with low power CMOS IC
technology.
The current methods of communications are becoming less relevant under
today’s growing demand for and reliance on constant connectivity. Of
decreasing relevance are the models of a single radio to perform a single
task. The expansion of wireless access points among coffee shops, airports,
malls, and other public arenas is opening up opportunities for new services
and applications.
Cooperation has been the subject of intensive study in the social and biological
sciences, as well as in mathematics and Artificial intelligence. The fundamental
finding is that even egoists can sustain cooperation provided the structure of
their environment allows for repeated interactions (Axelrod 1984).
If you are acquainted with neural networks, automatic control problems
are good industrial applications and have a dynamic or evolutionary nature
lacking in static pattern-recognition; control ideas are also prevalent in the
study of the natural neural networks found in animals and human beings.
If you are interested in the practice and theory of control, Artificial neu-
ral networks offer a way to synthesize nonlinear controllers, filters, state
observers and system identifiers using a parallel method of computation.
Recent years have seen a rapid development of neural network control tech-
niques and their successful applications. Numerous simulation studies and
actual industrial implementations show that Artificial neural network is a good
candidate for function approximation and control system design in solving the
control problems of complex nonlinear systems in the presence of different kinds
of uncertainties. Many control approaches/methods, reporting inventions and
control applications within the fields of adaptive control, neural control and
fuzzy systems, have been published in various books, journals and conference
proceedings.
