  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.
