| Title |
Total Optimization of Smart City by Multi-population Brain Storm Optimization with Differential Evolution Strategies |
| ID_Doc |
37423 |
| Authors |
Sato, M; Fukuyama, Y; Iizaka, T; Matsui, T |
| Title |
Total Optimization of Smart City by Multi-population Brain Storm Optimization with Differential Evolution Strategies |
| Year |
2018 |
| Published |
|
| DOI |
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| Abstract |
This paper proposes a total optimization method of a smart city (SC) by multi-population brain storm optimization with differential evolution strategies (MP-BSODE). Energy cost, actual electric power loads at peak load hours, and CO2 emission are minimized using a SC model. Many evolutionary computation techniques such as Particle Swarm Optimization (PSO), Differential Evolution (DE), and Differential Evolutionary Particle Swarm Optimization (DEEPSO) have been applied to the problem. However, there is room for improving solution quality. The results by the proposed MP-BSODE based method are compared with those by the original brain storm optimization with differential evolution strategies (BSODE), DEEPSO, and the original BSO based methods through simulations applied to a model of Toyama city, which is a moderately-sized city in Japan. |
| Author Keywords |
Smart City; CO2 emission reduction; Large-scale mixed-integer nonlinear optimization problem; Evolutionary Computation; Brain storm optimization with differential evolution strategies |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000462822500033 |
| WoS Category |
Computer Science, Hardware & Architecture; Telecommunications |
| Research Area |
Computer Science; Telecommunications |
| PDF |
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