The first choice for payment in future,Magi or Sether?

本文探讨了Magi和Sether两个新兴项目在电子支付领域的应用与潜力。Magi致力于提供低成本、高能效的挖矿解决方案,并通过MagiPay实现便捷支付。Sether则利用智能合约提供透明营销环境及绩效驱动的支付系统。

In a series of commercial activities, it is the ultimate goal of all business activities to conclude a transaction and complete payment. Since ancient times, the world has been trying to find a better way to make money and pay.

After the financial crisis, bitcoin and ripple, the digital currency, made a huge contribution to innovation.Of course, with precedent, the new blockchain project also began to serve payments, such as magi and sether.

The currency is the most convenient digital currency in the use phase of all currencies, from the physical, the gold and silver to the notes to the digital currency. An ancient digital currency, Denarius, is used by eight countries in payment. Although the situation of denarius coin for sale is rare, most people use it to exchange other currencies for indirect payment.Bitcoin and ripple, two familiar digital coins to the public, offer an easy access in payment. The following are two potential projects, magi and sether.

what is magi?


Magi is an electronic payment solution. Magin uses cost-efficient mining equipment to protect its low-cost shielding systems.

Magin hopes to provide mining to everyone. Because, Magi is in the pursuit of fairness, low cost and high energy efficiency at the same time. Magi aims to offer an opportunity to compete fairly without buying expensive hardware mining through removing the essence of mining competition.

Magi program and magi coin(for short: XMG) are suitable for any person in the world, and people can use Magi coin to freely pay.

XMG is quite developed, it is not only communication between support multiple currencies, and xmg potential is very big also, although the rankings in 771, the price of Magic coin had a glorious history, such as in January, its price is $1.75.

When using digital money to pay, there will be a payment gateway. MagiPay is the payment gateway for XMG. Two of the most immediate reasons for the xmgi project to develop MagiPay are that magi is used in a relatively simple way. Another is that MagiPay is an independent and unique coin that is independent of any other payment gateway. However, using MagiPay is not entirely free and customers have to pay  transaction costs.

What exactly is the latest Seth,Sether project?

Although the market value and price of the sether token is not as satisfying as XMG, but it is beginning to become hot in 2018, what is Seth and sether, and what does it do?Sether is a smart one, it provides a completely transparent environment for carrying out marketing activities, and allows the users to advance activities, organizes work and conduct payment, use sether intelligent contract to guarantee some old technology of automation, build a new trust between brands and consumers through the performance-driven payment system.


Seth is sether's token, but there are a lot of people who look at him and think it's seth iO. Now, Seth has a wide range of applications, but if you understand that it's only in Seth english, the information we get is not comprehensive. Seth's role in the sether project, though important, is less likely to be used to pay for this business activity, so it's sether that works.

   So far, I think magi and sether have great potential, but there is no ripple effect on the payment system. The magi project is not yet mature, and sether is only indirectly promoting the development of digital currency in payment. I think magi would be more persuasive to be the preferred payment option if you had to choose between the two new projects.



先展示下效果 https://pan.quark.cn/s/a4b39357ea24 遗传算法 - 简书 遗传算法的理论是根据达尔文进化论而设计出来的算法: 人类是朝着好的方向(最优解)进化,进化过程中,会自动选择优良基因,淘汰劣等基因。 遗传算法(英语:genetic algorithm (GA) )是计算数学中用于解决最佳化的搜索算法,是进化算法的一种。 进化算法最初是借鉴了进化生物学中的一些现象而发展起来的,这些现象包括遗传、突变、自然选择、杂交等。 搜索算法的共同特征为: 首先组成一组候选解 依据某些适应性条件测算这些候选解的适应度 根据适应度保留某些候选解,放弃其他候选解 对保留的候选解进行某些操作,生成新的候选解 遗传算法流程 遗传算法的一般步骤 my_fitness函数 评估每条染色体所对应个体的适应度 升序排列适应度评估值,选出 前 parent_number 个 个体作为 待选 parent 种群(适应度函数的值越小越好) 从 待选 parent 种群 中随机选择 2 个个体作为父方和母方。 抽取父母双方的染色体,进行交叉,产生 2 个子代。 (交叉概率) 对子代(parent + 生成的 child)的染色体进行变异。 (变异概率) 重复3,4,5步骤,直到新种群(parentnumber + childnumber)的产生。 循环以上步骤直至找到满意的解。 名词解释 交叉概率:两个个体进行交配的概率。 例如,交配概率为0.8,则80%的“夫妻”会生育后代。 变异概率:所有的基因中发生变异的占总体的比例。 GA函数 适应度函数 适应度函数由解决的问题决定。 举一个平方和的例子。 简单的平方和问题 求函数的最小值,其中每个变量的取值区间都是 [-1, ...
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