论文标题
使用基于目标的分类和TRIZ将现实世界问题映射到大自然激发了算法
Mapping of Real World Problems to Nature Inspired Algorithm using Goal based Classification and TRIZ
论文作者
论文摘要
技术和算法以指数率增长。这些技术能够解决似乎不可能的任务在技术上具有挑战性和复杂的问题。但是，趋势方法和方法在数据，算法，软件，计算复杂性和能源效率的各个方面面临着多个挑战。大自然也面临类似的挑战。自然已经解决了这些挑战和表述，作为自然启发算法（NIA），这些算法是根据自然研究得出的。这里解释了一种基于TRIZ将现实世界问题映射到自然问题的新方法。使用提出的框架，可以识别出最佳的NIA来解决现实世界中的问题。为了使这个框架起作用，根据大自然试图实现的最终目标进行了新的NIA分类。还讨论了该框架以及示例的应用。
The technologies and algorithms are growing at an exponential rate. The technologies are capable enough to solve technically challenging and complex problems which seemed impossible task. However, the trending methods and approaches are facing multiple challenges on various fronts of data, algorithms, software, computational complexities, and energy efficiencies. Nature also faces similar challenges. Nature has solved those challenges and formulation of those are available as Nature Inspired Algorithms (NIA), which are derived based on the study of nature. A novel method based on TRIZ to map the real-world problems to nature problems is explained here.TRIZ is a Theory of inventive problem solving. Using the proposed framework, best NIA can be identified to solve the real-world problems. For this framework to work, a novel classification of NIA based on the end goal that nature is trying to achieve is devised. The application of the this framework along with examples is also discussed.
