BINARY COMPREHENSIVE LEARNING PARTICLE SWARM OPTIMIZATION APPROACH FOR OPTIMAL DESIGN OF NONLINEAR STEEL STRUCTURES WITH STANDARD SIZES

Binary Comprehensive Learning Particle Swarm Optimization Approach for Optimal Design of Nonlinear Steel Structures with Standard Sizes

This paper proposes the binary comprehensive learning particle swarm optimization (BCLPSO) method to determine the optimal design for nonlinear steel structures, adopting standard member sizes.The design complies with the AISC-LRFD standard specifications.Moreover, the sizes and layouts of cross-brace members, appended to the steel frames, are simu

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Incorporating Epistemic Uncertainties in Ship Operability Study

Ship operability diagrams are commonly defined based on the seakeeping analysis, showing which course and speed can safely be taken at the sea state to satisfy pre-defined seakeeping limiting values.Although ship operability diagrams are inherently probabilistic, because of the random nature of the environmental loads, their outcome is deterministi

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