A Lyapunov Drift-Plus-Penalty-Based Multi-Objective Optimization of Energy Consumption, Construction Period and Benefit
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pISSN 1226-7988, eISSN 1976-3808 www.springer.com/12205
DOI 10.1007/s12205-020-2072-0
Construction Management
A Lyapunov Drift-Plus-Penalty-Based Multi-Objective Optimization of Energy Consumption, Construction Period and Benefit Wei He
a,b
, Wei Li
a,b
, and Shan Xu
a,b
College of Civil Engineering and Mechanics, Yanshan University, Qinhuangdao 066000, China Key Laboratory of Green Construction and Intelligent Operation and Maintenance of Civil Engineering, Qinghuangdao 066004, China
a
b
ARTICLE HISTORY
ABSTRACT
Received 3 December 2019 Revised 6 May 2020 Accepted 2 June 2020 Published Online 24 August 2020
Energy consumption and construction period in the construction process have been the focus of experts and researchers in the industry. Income by energy consumption and construction period is the long-term goal of industry managers. However, random events on the construction site are unpredictable, which have a random impact on energy consumption, construction period and its benefits. Therefore, a multi-objective stochastic optimization algorithm is designed to analyze the energy consumption, construction period and its benefits in the construction process, considering the random events. By introducing the idea of Lyapunov drift plus penalty, the construction process is simulated as a network transmission model, starting from the begin of the construction, and a series of construction sections are used as transmission. In this way, a virtual construction queue is constructed, Lyapunov quadratic function is defined, drift function is constructed, and the greedy objective function is punished to the minimum. Through the simulation process, the practicability of the algorithm is verified under the creation of several random events. The simulation accuracy and benefit value discrimination of the algorithm are higher comparing with the situation before optimization.
KEYWORDS Construction period Construction energy consumption Income of construction period Multi-objective optimization Random construction events Lyapunov drift-plus-penalty Optimization
1. Introduction Energy problem has long been the focus of human attention. The energy consumption in construction industry is an important part of global total energy consumption, which has reached about 30% in China (He, 2013). Energy consumption in construction industry is divided into material manufacturing energy consumption, construction energy consumption and operation energy consumption, of which construction energy consumption accounts for about 23% of the total energy consumption in the whole life cycle of buildings. The proportion of energy consumption in low-energy buildings is even as high as 40% 60% (Bai and Zheng, 2018), and this is an issue worthy of attention. Therefore, optimizing energy consumption during construction period has important practical significance. Another control objective in engineering management is the duration of a project, time limit has always been the core goal pursued by construction managers. Experts and sc
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