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We take inspirations from nature very often in solving many complex scientific and day to day problems. Nature inspired computing is a branch of computer engineering deals with the development of algorithms simulating behaviors of natural species for solving complex problems not easily solvable by available computational models. Based on biological systems, various algorithms have been presented in...
Fruit fly optimization algorithm (FOA) is a new method for finding global optimization based on food finding behavior of the fruit fly. The original FOA can only solve problems that have optimal solutions in zero vicinity. To make FOA more universal for the continuous optimization problems, especially for those problems with optimal solution that are not zero. This paper proposes a hybrid fruit fly...
This paper presents a method for identification of fuzzy classifiers by means of data analysis. The method is based on the assumption that the data of the same classes form compact regions (clusters) in the input space. The algorithms for structure generation and parameter optimization of the fuzzy classifiers are proposed.
Cloud Computing is a major area of research. Nature Inspired Algorithms (NIAs) form the major portion of research going on in the Cloud today. NIAs as the name suggests are the algorithms whose source of inspiration is nature. NIAs can further be classified into algorithms based on Swarm Intelligence (SI), Biological Phenomena (called Bio-inspired BI), Physics and Chemistry systems or based on some...
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