Nature-Inspired Algorithms and Applications

12Mapping of Real-World Problems to Nature-Inspired Algorithm Using Goal-Based Classification and TRIZ

Palak Sukharamwala^1,2* and Manojkumar Parmar^1,3†

¹Robert Bosch Engineering and Business Solutions Private Limited, Bangalore, India

²Institute of Technology, Nirma University, Ahmedabad, India

³HEC Paris, Jouy-en-Josas Cedex, France

Abstract

The technologies and algorithms are growing at an exponential rate. The technologies are capable enough to solve challenging and complex problems, which seemed an impossible task. However, the trending methods and approaches face 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 is available as Nature-Inspired Algorithms (NIAs), which are derived based on the study of nature. A novel method based on TRIZ to map real-world problems to nature problems is explained here. TRIZ is a theory of inventive problem-solving. Using the proposed framework, the set of best NIA can be identified to solve real-world problems. For proposed framework to work, a novel classification of NIA based on the end goal that nature is trying to achieve is devised. The application of this framework, along with examples, is also discussed.

Keywords: Classification, TRIZ, AI, ML, algorithm, software complexity, energy efficient computing, taxonomy

12.1 Introduction and Background

Nature does things in an ...