DARWIN: CMOS opamp synthesis by means of a genetic algorithm
DAC '95 Proceedings of the 32nd annual ACM/IEEE Design Automation Conference
A new algorithm for floorplan design
DAC '86 Proceedings of the 23rd ACM/IEEE Design Automation Conference
Genetic Programming III: Darwinian Invention & Problem Solving
Genetic Programming III: Darwinian Invention & Problem Solving
The Designer's Guide to Spice and Spectre
The Designer's Guide to Spice and Spectre
Evolution of a 60 Decibel Op Amp Using Genetic Programming
ICES '96 Proceedings of the First International Conference on Evolvable Systems: From Biology to Hardware
Tabu Search Based Circuit Optimization
GLS '98 Proceedings of the Great Lakes Symposium on VLSI '98
Automated synthesis of analog electrical circuits by means ofgenetic programming
IEEE Transactions on Evolutionary Computation
A circuit representation technique for automated circuit design
IEEE Transactions on Evolutionary Computation
Genetic programming III: darwinian invention and problem solving [Book Review]
IEEE Transactions on Evolutionary Computation
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The world, we live and will live in the future, is Analog. Everything we can see, hear and perceive in life is Analog, from voice, music and seismic activity to visual perception, voice recognition and energy delivery. 20th Century scientists are still trying to understand and formulate world events. For this aim they have produced a system, which is different human machine language, name is Digital Systems. Digital Systems is only human known and used systems. If anything in the world is wanted to be done in digital language, firstly it has to be converted to digital language. After digital conversion if you find any results, you have to re convert results into Analog again, which is necessary for the real world, because world is absolutely Analog. Sometimes this method brings us solutions, but the 20th century designer scientists have reached some limits about creating answers in hard, long ways. Therefore it is impossible to fathom engineering real-life solutions without the help and support of high-performance Analog Electronics. If we have a universal solution, Analog, in our hands why do we prefer to use Digital Systems, Digital Application Specific Integrated Circuit ASIC systems? The only answer must be "we cannot know or understand all details in Analog Channel". At this point, this work is all about understanding and rebuilding fundamentals of Analog Channels for Electronic Systems. This is one of the most important engineering problems of our century. As a result, the aim of selecting this work is recreating models and autonomous real world testing system for new Analog Models, instead of Digital System Models. Selected solution method is development of the MPI parallel computing architecture, based on Artificial Intelligence Algorithms. In this proposed model, we introduce an approach to develop a Message Passing Interface MPI Parallel Computing Architecture using Genetic Algorithms GA. We validate our approach by applying the technique Analog Circuit Design technique.