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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, Japan ; 2 Fuji Electric, Co. Ltd., No.1, Fuji-machi, Hino, Tokyo, Japan

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

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Soft Computing ; Swarm/Collective Intelligence

Abstract: 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 DEEPS O, 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 (IJCCI 2018) - IJCCI; ISBN 978-989-758-327-8; ISSN 2184-3236, SciTePress, 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 (IJCCI 2018) - IJCCI},
year={2018},
pages={101-109},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006889301010109},
isbn={978-989-758-327-8},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Computational Intelligence (IJCCI 2018) - IJCCI
TI - Total Optimization of Smart City by Global-best Modified Brain Storm Optimization
SN - 978-989-758-327-8
IS - 2184-3236
AU - Sato, M.
AU - Fukuyama, Y.
AU - Iizaka, T.
AU - Matsui, T.
PY - 2018
SP - 101
EP - 109
DO - 10.5220/0006889301010109
PB - SciTePress