Improved Parallel Reactive Hybrid Particle Swarm Optimization using Improved Neighborhood Schedule Generation Method for the Integrated Framework of Optimal Production Scheduling and Operational Planning of an Energy Plant in a Factory-Reference-Cited by-同舟云学术

Improved Parallel Reactive Hybrid Particle Swarm Optimization using Improved Neighborhood Schedule Generation Method for the Integrated Framework of Optimal Production Scheduling and Operational Planning of an Energy Plant in a Factory

Published:2019-12-01 Issue:12 Volume:139 Page:1005-1014
ISSN:0913-6339
Container-title:IEEJ Transactions on Industry Applications
language:en
Short-container-title:IEEJ Trans. IA

Author:

Kawaguchi Shuhei¹,Fukuyama Yoshikazu¹

Affiliation:

1. Department of Network Design, School of Interdisciplinary Mathematical Science, Meiji University

Publisher

Institute of Electrical Engineers of Japan (IEE Japan)

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering

Link

https://www.jstage.jst.go.jp/article/ieejias/139/12/139_1005/_pdf

Reference24 articles.

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2. (2) K. Ito, T. Shiba, and R. Yokoyama: “Optimal Operation of a Cogeneration Plant in Combination with Electric Heat Pumps”, Journal of Energy Resources Technology, Vol. 116, No. 1, pp. 56-64 (1994)

3. (3) R. Suzuki, F. Kawai, S. Kitagawa, T. Matsui, K. Matsumoto, D. Xiang, and Y. Fukuyama: “The ε constrained differential evolution approach for optimal operational planning of energy plants”, Proc. of IEEE Congress on Evolutionary Computation, pp. 1-6 (2010)

4. (4) N. Nishimura, Y. Fukuyama, and T. Matsui: “Dependable Parallel Differential Evolutionary Particle Swarm Optimization for On-line Optimal Operational Planning of Energy Plants”, IEEJ Trans. on EIS, Vol. 137, No. 11 (2017) (in Japanese)

5. (5) D. C. Mattfeld: Evolutionary Search and the Job Shop, Springer-Verlag Berlin Heidelberg (1995)

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