Earthquake Engineering & Structural Dynamics · 2007 · 32 citations · 19 references
EngineeringCivil EngineeringOptimizationSeismic DesignStructural EngineeringHeuristic OptimizationMetaheuristic OptimizationMulti-objective OptimizationMultiobjective OptimizationStructural DesignStructural OptimizationCollapseFramesHeuristicsMultiobjective Heuristic OptimizationPareto Optimal SetPareto Optimal SolutionSteel Moment FramesTabu Search
Abstract Seismic design problem of a steel moment‐resisting frame is formulated as a multiobjective programming problem. The total structural (material) volume and the plastic dissipated energy at the collapse state against severe seismic motions are considered as performance measures. Geometrically nonlinear inelastic time‐history analysis is carried out against recorded ground motions that are incrementally scaled to reach the predefined collapse state. The frame members are chosen from the lists of the available standard sections. Simulated annealing (SA) and tabu search (TS), which are categorized as single‐point‐search heuristics, are applied to the multiobjective optimization problem. It is shown in the numerical examples that the frames that collapse with uniform interstorey drift ratios against various levels of ground motions can be obtained as a set of Pareto optimal solutions. Copyright © 2007 John Wiley & Sons, Ltd.
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Genetic algorithms in search, optimization, and machine learning
Choice Reviews Online · 1989 · 49.3K citations
Fred Glover · INFORMS Journal on Computing · 1990 · 5.6K citations
Fred Glover · INFORMS Journal on Computing · 1989 · 5K citations