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What is Nature-Inspired Algorithm

Research Advancements in Smart Technology, Optimization, and Renewable Energy
Is the algorithm which takes its inspiration from nature and used to solve hard real-world Optimization problems where conventional Optimization methods were failed to solve it ( Geleta & Manshahia, 2020 ).
Published in Chapter:
Optimal Sizing of Hybrid Wind and Solar Renewable Energy System: A Case Study of Ethiopia
Diriba Kajela Geleta (Department of Mathematics, Madda Walabu University, Oromia, Ethiopia) and Mukhdeep Singh Manshahia (Punjabi University, Patiala, India)
DOI: 10.4018/978-1-7998-3970-5.ch007
Abstract
If properly designed and utilized, earth has rich potential of clean energy in satisfying the energy demand of the world. In this chapter, nature-inspired methodology was employed to optimize hybrids of renewable energy system in the case of Jeldu district of Ethiopia. The main goal of the researchers here is to minimize the total annual cost of the system, which can be designed by using appropriate numbers of components based on the pre-designed constraints to satisfy the load demand. MATLAB code was designed for the proposed methodology, and the results were discussed. It was seen from the result that the proposed approach has solved the optimum sizing of defined problem with high convergence. The results show that energy demand of the village can be optimally satisfied by the use of wind and solar hybrid system. Moreover, the application of this chapter is important for countries like Ethiopia to increase access to electricity.
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Designing Multilayer Feedforward Neural Networks Using Multi-Verse Optimizer
Algorithm that accepts a set of random solutions and then imitate a phenomenon occurred in nature to carry out some operations on these solutions through iterations to get an optimized solution.
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