Mapping of Real World Problems to Nature Inspired Algorithm using Goal based Classification and TRIZ

摘要

The technologies and algorithms are growing at an exponential rate and solving 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, and it has found solutions. Nature has solved those challenges and formulation of solutions is available as Nature Inspired Algorithms (NIA) based on the study of nature. A novel method based on TRIZ to map the real-world problems to nature problems is proposed here.TRIZ is Theory of inventive problem solving. Using the proposed framework, best Nature Inspired Algorithm can be identified to solve the real-world problems. For this framework to work, a novel classification of Nature Inspired Algorithm based on the end goal that nature is trying to achieve is devised. The application of the this framework will also be discussed.