Solving chiller loading optimization problems using an improved teaching‐learning‐based optimization algorithm

DOI10.1002/OCA.2334zbMath1390.90414OpenAlexW2624596946MaRDI QIDQ4563344

Hongyan Sang, Yong Wang, Baoxian Jia, Jun-Qing Li, Pei-yong Duan

Publication date: 31 May 2018

Published in: Optimal Control Applications and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/oca.2334

zbMATH Keywords

teaching-learning-based optimizationenergy conversationoptimal chiller loading

Mathematics Subject Classification ID

Quadratic programming (90C20) Applications of optimal control and differential games (49N90)

Related Items (4)

Auction-based approach for a flexible job-shop scheduling problem with multiple process plans ⋮ Confined teaching-learning-based optimization with variable search strategies for continuous optimization ⋮ Survey of duality between linear quadratic regulation and linear estimation problems for discrete-time systems ⋮ A real-time pricing scheme considering load uncertainty and price competition in smart grid market

Cites Work

• Local optimization of dynamic programs with guaranteed satisfaction of path constraints

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