Multi-objective Optimization of Cost-Quality-Time - Security in Construction Project Management Based on Particle Swarm Method
Computer Science and Engineering, 2009. WCSE '09. Second International Workshop（2009）
摘要
In this paper, the cost - quality -time - security model is lead into the projects innovatively; we describe the basic principle of the particle swarm optimization method, and introduce the integer programming as well as the structure of multi-attribute utility function. The discussion on the cost optimization in the construction phase of a substation have confirmed that the PSO method can determine the optimal solution with practical value effectively, and has a high ability of global optimization and search efficiency, so it is very applicable to solve the cost-optimization problems.
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关键词
search efficiency,construction phase,construction project management,multi-attribute utility function,multi-objective optimization,high ability,multiattribute utility function,security,basic principle,particle swarm optimization method,particle swarm optimisation,global optimization,pso method,integer programming,time management,search problems,construction industry,project management,cost optimization,quality management,cost-quality-time-security model,costing,particle swarm method,multiobjective optimization,cost-optimization problem,security factor,particle swarm optimization,space exploration,security model,multi objective optimization,optimization,particle swarm
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