公开(公告)号：US20070094161A1

公开(公告)日：2007-04-26

申请号：US11190744

申请日：2005-07-27

Applicant: Antonino Calabro ,  Federico Rivoli ,  Fabio Tripodi

Inventor： Antonino Calabro ,  Federico Rivoli ,  Fabio Tripodi

IPC: G06N3/12

CPC classification number: G06N3/123 ,  B82Y10/00

Abstract: A hardware device is for performing crossover and mutation operations based upon a genetic algorithm. The hardware device may include a random or pseudo-random number generator, and a crossover block, conditioned with a random crossover index, for generating output crossover bit-strings from current bit-strings. The device may also include a mutation block, conditioned with a random mutation index, for generating output bit-strings by switching at least one bit of each input bit-string pointed to by the mutation index. A memory may temporarily store the current bit-strings and the output bit-strings. In addition, the hardware device may include a control unit, interfaced with the random number generator, the crossover block, the mutation block and the memory and managing their functioning by generating respective control signals therefor.

Abstract translation: 硬件设备用于基于遗传算法执行交叉和变异操作。 硬件设备可以包括随机或伪随机数生成器，以及用随机交叉索引调节的交叉块，用于从当前位串生成输出交叉位串。 该设备还可以包括利用随机突变索引调节的突变块，用于通过切换由突变索引指向的每个输入位串的至少一位来产生输出位串。 存储器可以临时存储当前位串和输出位串。 此外，硬件设备可以包括与随机数生成器接口的控制单元，交叉块，变异块和存储器，并通过产生相应的控制信号来管理它们的功能。

公开(公告)号：US20080140749A1

公开(公告)日：2008-06-12

申请号：US11313077

申请日：2005-12-20

Applicant: Paolo Amato ,  Domenico Massimilano Porto ,  Marco Branciforte ,  Antonino Calabro ,  Sergei Viktorovitch Ulyanov ,  Kazuki Takahashi ,  Sergey Alexandrovich Panfilov ,  Ilya Sergeevitch Ulyanov ,  Liudmila Vasilievna Litvintseva

Inventor： Paolo Amato ,  Domenico Massimilano Porto ,  Marco Branciforte ,  Antonino Calabro ,  Sergei Viktorovitch Ulyanov ,  Kazuki Takahashi ,  Sergey Alexandrovich Panfilov ,  Ilya Sergeevitch Ulyanov ,  Liudmila Vasilievna Litvintseva

IPC: G06F7/38

CPC classification number: B82Y10/00 ,  G06N10/00

Abstract: A method and device for performing a quantum algorithm where the superposition, entanglement with interference operators determined for performing selection, crossover, and mutation operations based upon a genetic algorithm. Moreover, entanglement vectors generated by the entanglement operator of the quantum algorithm may be processed by a wise controller implementing a genetic algorithm before being input to the interference operator. This algorithm may be implemented with a hardware quantum gate or with a software computer program running on a computer. Further, the algorithm can be used in a method for controlling a process and a relative control device of a process which is more robust, requires very little initial information about dynamic behavior of control objects in the design process of an intelligent control system, or random noise insensitive (invariant) in a measurement system and in a control feedback loop.

Abstract translation: 一种用于执行量子算法的方法和装置，其中基于遗传算法确定用于执行选择，交叉和变异操作的干扰算子的叠加纠缠。 此外，由量子算法的纠缠算子产生的纠缠矢量可以在输入到干扰算子之前由实现遗传算法的明智控制器来处理。 该算法可以用硬件量子门或在计算机上运行的软件计算机程序来实现。 此外，该算法可以用于控制过程的方法和更健壮的过程的相对控制装置，在智能控制系统的设计过程中需要很少关于控制对象的动态行为的初始信息，或者是随机的 在测量系统和控制反馈回路中噪声不敏感（不变量）。