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Abstract
This chapter of the book presents an innovative, two-level computational, multidimensional, continuous/discrete, enhanced melody search algorithm (2D-cdEMSA). This search algorithm was developed for solving midterm dynamic planning of medium voltage (MV) open-loop distribution networks (DyMODN) with consideration of distributed generation resources. Using multiple two-level computational music players with different tastes, ideas, and experiences can lead to players choosing better pitches and increase the probability of playing a better melody. The newly proposed algorithm is superior in comparison to other optimization algorithms, when the feasible area of the solution space and/or dimensions of the optimization problem increases. The DyMODN is also based on a multicriteria decision-making model, whose fundamental elements are techno-economic indices. To demonstrate the feasibility and capability of the newly developed algorithm, the performance of the 2D-cdEMSA is compared with single-level computational, one dimensional, harmony search algorithm (1D-HSA), single-level computational, one-dimensional improved harmony search algorithm (1D-IHSA), two-level computational, multidimensional, continuous melody search algorithm (2D-cMSA), nondominated sorting genetic algorithm-II (NSGA-II), and particle swarm optimization (PSO).
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