Evolutionary Design of Single Electron Systems
نویسندگان
چکیده
The differences between electronics design through artificial evolution and through conventional methods have the consequence that evolved circuits may take unusual leverage from the physics of their medium of implementation. This can occur even if there is no tractable analytical model to predict how the overall behaviour will emerge from the interactions of the components. This is alluring for singleelectron circuit design, and a first case-study is presented: the evolution of a NOR gate. Although the results to date are far from ideal or practical, it appears that the particular thermal energies of the electrons are exploited. Whether desirable or not, this indicates that evolution can explore new kinds of designs not seen before in the literature.
منابع مشابه
A NOVEL FUZZY MULTI-OBJECTIVE ENHANCED TIME EVOLUTIONARY OPTIMIZATION FOR SPACE STRUCTURES
This research presents a novel design approach to achieve an optimal structure established upon multiple objective functions by simultaneous utilization of the Enhanced Time Evolutionary Optimization method and Fuzzy Logic (FLETEO). For this purpose, at first, modeling of the structure design problem in this space is performed using fuzzy logic concepts. Thus, a new problem creates with functio...
متن کاملOPTIMIZATION OF STEEL MOMENT FRAME BY A PROPOSED EVOLUTIONARY ALGORITHM
This paper presents an improved multi-objective evolutionary algorithm (IMOEA) for the design of planar steel frames. By considering constraints as a new objective function, single objective optimization problems turned to multi objective optimization problems. To increase efficiency of IMOEA different Crossover and Mutation are employed. Also to avoid local optima dynamic interference of mutat...
متن کاملOptimal Design of Single-Phase Induction Motor Using MPSO and FEM
In this paper, a new approach is proposed for the optimum design of single-phase induction motor. By using the classical design equations and the evolutionary algorithms such as Genetic Algorithms (GA), Particle Swarm Optimization (PSO) and Modified Particle Swarm Optimization (MPSO), a Single Phase Induction Motor (SPIM) was designed with the maximum efficiency. The Finite Element Method (FEM)...
متن کاملActive Power Filter Design by a Novel Approach of Multi-Objective Optimization
This paper presents an innovative active power filter design method to simultaneously compensate the current harmonics and reactive power of a nonlinear load. The power filter integrates a passive power filter which is a RL low-pass filter placed in series with the load, and an active power filter which comprises an RL in series with an IGBT based voltage source converter. The filter is assumed...
متن کاملDesign of single-electron systems through artificial evolution
We show how evolutionary methods can help in the design of singleelectronic circuits with an example of evolving a simple NOR gate. Evolutionary algorithms, capturing the bare essentials of Darwinian evolution, work differently from conventional design methods, and have the potential to explore new territory. Our preliminary evolved circuit is far from an ideal NOR gate, but has interesting pro...
متن کامل