The Coronavirus Disease 2019 (COVID-19) epidemic is causing once-in-a-century upheavals in global civilization. Payment systems have advanced lately, from simple cash or credit card transactions to various forms of mobile payment systems. This transformation is occurred due to COVID 19 and shifts in the economy, the growth of social networks, technical advancements on the Internet, and the increased usage of mobile devices. Throughout COVID19, this article offers a unique approach to the payment scheduling issue, which seeks out a timetable that enhances the project's stakeholders' benefit. Both the sponsor and the contractor in a project want to have a strong payment plan on their own. To create an equal schedule between the sponsor and the development team, the timing of payments and the completion periods of project activities are decided concurrently. The Harris hawks optimization method is designed to tackle the problem because of its high NP-hardness. Harris hawks optimization is a novel meta-heuristic nature-inspired optimizer inspired by how Harris hawks hunt food in nature. By comparing the suggested Harris hawks optimization optimizer to existing nature-inspired methods, the efficacy of the suggested Harris hawks optimization optimizer is determined. The Harris hawks optimization algorithm appears to be highly promising based on the statistical findings and comparisons. The MATLAB simulator's simulation findings confirm the algorithm's superiority over earlier efforts regarding energy, cost, delay time, and net value.

2019 年冠状病毒病 (COVID-19) 的流行正在给全球文明带来百年一遇的剧变。支付系统最近取得了进步，从简单的现金或信用卡交易到各种形式的移动支付系统。这种转变的发生是由于 COVID 19 和经济变化、社交网络的发展、互联网技术的进步以及移动设备使用的增加。在整个新冠疫情期间，本文提供了一种解决付款安排问题的独特方法，该方法寻求一个可以提高项目利益相关者利益的时间表。项目中的发起人和承包商都希望自己有一个强有力的付款计划。为了在发起人和开发团队之间建立平等的时间表，付款时间和项目活动的完成期限同时决定。 Harris hawks 优化方法因其高 NP 硬度而被设计来解决该问题。哈里斯鹰优化是一种新颖的元启发式自然启发优化器，其灵感来自哈里斯鹰如何在自然界中捕猎食物。通过将建议的 Harris hawks 优化器与现有的自然启发方法进行比较，确定了建议的 Harris hawks 优化器的功效。根据统计结果和比较，哈里斯鹰优化算法似乎非常有前途。 MATLAB 模拟器的仿真结果证实了该算法在能源、成本、延迟时间和净值方面优于早期的努力。