会议专题

Pareto Ant Colony Algorithm for Building Life Cycle Energy Consumption Optimization

This article aims at realizing optimal building energy consumption in its whole life cycle, and develops building life cycle energy consumption model (BLCECM), as well as optimizes the model by Ant Colony Algorithm (ACA). Aiming at the complexity and multi-objective principle of building life cycle energy consumption, this research tries to modify Pareto Ant Colony Algorithm (PACA), making it fit the needs of finding solution to least energy consumption in a buildings whole life cycle. In the initial stage of ant colony constructing solution, each objective weighing is defined randomly, which improves the optimal determination mechanism of Pareto solution, perfects the renovation principle of pheromone, and finally realize the goal of optimization. This research is a innovative application of ACA in building energy-saving area, and it provides definite as well as practical calculation method for building energy consumption optimization in terms of a whole life cycle.

ant colony algorithm building life cycle building energy consumption multi-objective optimization

Yan Yuan Jingling Yuan Hongfu Du Li Li

School of Urban Design.Wuhan University,Luojia Hill, Wuhan, China 430072 Computer Science and Technology School, Wuhan University of Technology 122 Luoshi Road, Wuhan, 43007

国际会议

International Conference on Life System Modeling and Simulation,and International Conference on Intelligent Computing for Sustainable Energy and Environment(2010生命系统建模与仿真国际会议暨m2010可持续能源与环境智能计算国际会议)

无锡

英文

59-65

2010-09-17(万方平台首次上网日期,不代表论文的发表时间)