In today’s era Big data classification is a very crucial and equally widely arise issue many applications. Not only engineering applications but also in social, agricultural, banking, educational more are there science where accurate big required. We proposed novel efficient methodology for using Deep stack encoder Rider chaotic biogeography algorithms. Our algorithms the combinations of two Fi...

Biogeography is the study of distribution of biological species, over space and time, among random habitats. Recently introduced Biogeography Based Optimization (BBO) is a technique, where solutions of the problem are termed as habitats. Feature, i.e., Suitability Index Variable (SIV), sharing among various habitats is made to occur with migration operator where as exploration of new SIVs is do...

Biogeography-based optimization (BBO) cannot effectively solve high-dimensional global problems due to its single migration mechanism and random mutation operator. To overcome these limitations, this paper propose a dual BBO based on sine cosine algorithm (SCA) dynamic hybrid mutation, named SCBBO. Firstly, the Latin hypercube sampling method is innovatively used improve initial population ergo...

<span>Biogeography can be broken down into bio and geography, which would imply the i.e., dispersion of biological organisms. The entire field biology inspired algorithm is inclined towards providing most optimal solution for a given problem set. Computer science experts want to always learn from surroundings. Nature sporadic spontaneous erratic nature habitat very differentiating factor ...

Due to the development of information and network technologies, idle computers all over the world can be organized and utilized to enhance the overall computation performance. Grid computing refers to the combination of computer resources from multiple administrative domains used to reach a common goal. Grids offer a way of using the information technology resources optimally inside an organiza...