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

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.

Keywords:

Spherical storage tank , Construction projects , Multi-objective PSO algorithm , NSGA-II algorithm