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Step 1: Generate an initial solution according to the initial solution generation algorithm.
Our proposed method comprises two main operations: discrete solution generation and feasible solution production.
To systematize the process of source representation, analogs retrieval, idea transfer, and solution generation, an ideation model was put forward.
In this paper, we submit two novel advances in terms of model formulation and solution generation to reduce maintenance costs.
For the design of the first phase, two variations are proposed featuring different types of initial solution generation.
Furthermore, we define a series of maintenance time reducing principles in solution generation embodied in a constructor heuristic.
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But there is another solution: distributed generation, or locating power systems directly at a large business user's premises.
As the algorithm works with only one solution for generation, there is no possibility to use the crossover operator.
That solution is Generation Wind.
On average, GA reached a solution in generation 4, which indicates an excellent result (Supplementary Fig. 2).
Figure 3 shows fitness of the best solution by generation of the DE algorithm for each strategy, with a weighting of -1 for progeny inbreeding.
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