Cost/time trade off investigation of spherical storage tank construction projects using MOPSO/NSGAII

سال انتشار: 1392
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 1,369

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شناسه ملی سند علمی:

IIEC10_176

تاریخ نمایه سازی: 10 شهریور 1393

چکیده مقاله:

This paper proposes two multi-objective evolutionary algorithms of multi-objective particle swarm optimization (MOPSO) and non-dominated sorting genetic (NSGA-II) to solve the time-cost tradeoff problem of spherical storage tank construction projects. Using multi-objective algorithms to optimize the cost and the time of construction project enables one to obtain a Pareto front solution as a set of optimum solutions for project completion with different options of time and cost.

نویسندگان

Vida Arabzadeh

Industrial Engineering Dept. Islamic Azad University, Qazvin Branch,Qazvin, Iran

Niaki

Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran

Vahid Arabzadeh

Process System Engineering Dept.Aalto University, Helsinki, Finland