Local Search for Multiobjective Optimization of Steel Frames
نویسنده
چکیده
A single-point local search method is presented as a simplification of the multiobjective tabu search. Some improvements are made to reach the Pareto front within small number of function evaluations. The performance of the proposed method is first verified by a small mathematical problem. It is shown that accurate Pareto optimal solutions with good diversity are obtained by using the proposed method. Pareto optimal solutions are next found for a 5-story 4-span steel building frame. The objective functions are the total structural volume and the compliance under the specified set of loads. It is shown that about 30 Pareto solutions with good accuracy can be found by carrying out structural analysis 200 times. The proposed method has very few problem-dependent parameters. Therefore, the method can be applied to multiobjective optimization of large structures, for which the population-based method is difficult to be applied.
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