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STOCHASTIC QUALITY-COST OPTIMIZATION SYSTEM HYBRIDIZING MULTI-OBJECTIVE GENETIC ALGORITHM AND QUALITY FUNCTION DEPLOYMENT
Journal of Civil Engineering and Management
This paper introduces an automated tool, the stochastic quality-cost optimization (SQCO) system, that hybridizes multi-objective genetic algorithm (MOGA) and Quality Function Deployment (QFD). The system identifies the optimal trade-off between a construction owner's satisfaction and a contractor's satisfaction. It is important to reconcile the project participants' conflicting interests because the construction owner aims to maximize the quality of construction while the contractor aims todoi:10.3846/13923730.2014.890647 fatcat:vni5mbl2nfhmlcby5bhpf5lr5i