Abstract
In this chapter, a monarch butterfly optimization (MBO) method is discussed. In order to overcome some of the existing limitations, few modifications are also discussed, the new variant is known as novel monarch butterfly optimization with greedy strategy and self adaptive crossover operation (GCMBO). The nature inspired, MBO in-spite of various advantage as describe in previous chapter has some technical issues related to its conversion characteristics. So, a new variant of this MBO is suggest with salient features i.e. greedy strategy and self adaptive crossover operation which has improved global solution finding ability. This chapter will demonstrated the improvement done in the recognized version of MBO by help of its step by step algorithm, computer programming, relevant example and comparison done in the to version.
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