Blind equaliser design using genetic programming. A blind equalization algorithm based on genetic algorithm was proposed.The simulation results showed that the algorithm had better performances than any other blind algorithm we are already have,nam

Adaptive Blind Equalization Using Bottleneck Networks Implemented by Evolvable Hardware.Using a genetic algorithm, the network on the hardware is trained to minimize an energy function based on the maximum likelihood estimation. Simulation resu

遗传算法（Genetic Algorithm）是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法，它最初由美国Michigan大学J.Holland教授于1975年首先提出来的-GA (Genetic Algorithm) is a simulation of Darwinian theory of evolution by natural selection and genetic mechanism of biological e

为了解决考虑生产总成本的车间调度问题，对引入加工成本、库存管理成本和拖期惩罚成 本的车间调度问题进行了研究，提出了一种改进的遗传算法求解该问题。论述了改进遗传算法的 编码、初始化、选择、交叉和变异操作，通过与基本遗传算法的仿真比较，验证了该算法在收敛速度 和最优解值上的优越性。 -In order to solve the job shop scheduling problem considering the total production cost, the process