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This paper proposes a total optimization method of a smart city (SC) by Global-best Modified Brain Storm Optimization (GMBSO). Almost all countries have a goal to reduce CO2 emission as the countermeasures of global warming. In addition, these countries have conducted SC demonstration projects. The problem of the paper considers CO2 emission, energy cost, and electric power load at peak load hours. In order to solve the problem, Differential Evolutionary Particle Swarm Optimization (DEEPSO), Modified Brain Storm Optimization (MBSO), and Global-best Brain Storm Optimization (GBSO) have been applied to the problem. This paper proposes a novel evolutionary computation method, called Global-best Modified Brain Storm Optimization (GMBSO), which is a combined method of GBSO and MBSO in order to obtain better results. The total optimization of SC is solved by the proposed GMBSO based method. The results by the proposed GMBSO based method is compared with those by conventional DEEPSO, BSO, only GBSO, and only MBSO

Total Optimization of Smart City by Global-Best Modified Brain Storm Optimization