A Hybrid Multiverse Optimizer (MVO) Algorithm for Smart Cities Construction Resources Optimization

The increasing demand for clean and efficient energy for construction industry, especially for developing and managing smart cities has led to the development of microgrids. Common problems with these strategies are the demand and supply of the energy constantly conflicted, as a result, the energy usage frequently inefficient. To solve this problem, optimization techniques and heuristics methods are utilized. Mathematical optimization procedures can obtain optimal solutions, but they are only suitable for small-scale problems. For large-scale situation, artificial intelligence techniques have been applied. In this paper, a Hybrid version of the multi-verse optimizer (MVO) and the Sine Cosine Algorithm (SCA) is introduced in order to improve the exploration and exploitation balance of the standard MVO algorithm. The proposed hybrid algorithms also find improved optimal solutions for energy optimization by illustrating its searching ability with diverse search space problems.