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基于微粒群算法的工程项目资源均衡优化

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Date of Publication:2007-01-01

Journal:土木工程学报

Issue:2

Page Number:93-96

ISSN No.:1000-131X

Abstract:The PSO (particle swarm optimization) was applied for the unlimited resource leveling optimization of construction engineering in this paper. Defined the particle swarm whose coordinates were used for the activity's actual start time. Established the appraisal function between the resource variance and the activity's actual start time. Searched the best schedule of project by the evolution of the particle swarm' s position during its flying. Finally, the resource intensity obtained by PSO reduced 75.2% compared to the initial schedule, reduced 26.97% compared to the GA's (genetic algorithm) result according to the case analysis. Validated the feasibility and the effectivity of the PSO in the unlimited resource leveling optimization, and also obtained several secondary optimum schedules as well as the best one. Therefore, this method has its practical application value for the resource leveling optimization.

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