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Authors: Mayuko Sato 1 ; Yoshikazu Fukuyama 1 ; Tatsuya Iizaka 2 and Tetsuro Matsui 2

Affiliations: 1 Graduate school of Advanced Mathematical Sciences, Meiji University, 4-21-1, Nakano, Nakano-ku, Tokyo and Japan ; 2 Fuji Electric, Co. Ltd., No.1, Fuji-machi, Hino, Tokyo and Japan

ISBN: 978-989-758-327-8

Keyword(s): Smart City, CO2 Emission Reduction, Large-Scale Mixed-Integer Nonlinear Optimization Problem, Evolutionary Computation, Brain Storm Optimization.

Abstract: This paper proposes a total optimization method of a smart city (SC) by Global-best Modified Brain Storm Optimization (GMBSO). Efficient utilization of energy is necessary for reduction of CO2 emission, and SC demonstration projects have been conducted all of the world to reduce total energies and the amount of CO2 emission. Energy cost, actual electric power loads at peak load hours, and CO2 emission are minimized using the proposed method. Many evolutionary computation techniques such as Differential Evolutionary Particle Swarm Optimization (DEEPSO) and Global-best Brain Storm Optimization (GBSO) are applied to the problem. However, there is room for improving solution quality. This paper proposes Global-best Modified Brain Storm Optimization (GMBSO), which is a combined method of GBSO and Modified Brain Storm Optimization (MBSO). The proposed GMBSO is applied to a total optimization problem of SC. The results by the proposed GMBSO based method is compared with those by conventional DEEPSO, BSO, only GBSO, and only MBSO based methods. (More)

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Paper citation in several formats:
Sato M., Fukuyama Y., Iizaka T. and Matsui T. (2018). Total Optimization of Smart City by Global-Best Modified Brain Storm Optimization.In Proceedings of the 10th International Joint Conference on Computational Intelligence - Volume 1: IJCCI, ISBN 978-989-758-327-8, pages 101-109. DOI: 10.5220/0006889301010109

@conference{ijcci18,
author={Mayuko Sato and Yoshikazu Fukuyama and Tatsuya Iizaka and Tetsuro Matsui},
title={Total Optimization of Smart City by Global-Best Modified Brain Storm Optimization},
booktitle={Proceedings of the 10th International Joint Conference on Computational Intelligence - Volume 1: IJCCI,},
year={2018},
pages={101-109},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006889301010109},
isbn={978-989-758-327-8},
}

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Computational Intelligence - Volume 1: IJCCI,
TI - Total Optimization of Smart City by Global-Best Modified Brain Storm Optimization
SN - 978-989-758-327-8
AU - Sato M.
AU - Fukuyama Y.
AU - Iizaka T.
AU - Matsui T.
PY - 2018
SP - 101
EP - 109
DO - 10.5220/0006889301010109

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