A metaheuristic-based structural optimization method, whilst being popularly adopted due to
its advantages in by-passing gradient function calculations, requires the use of time …

This paper proposes an intelligent multi-objective optimization approach using the deep
feedforward neural network (DNN) integrated with the speed-constrained multi-objective …

In this paper, three powerful metaheuristic algorithms, modified teaching learning based
optimization, modified jaya algorithm and hybrid learning based jaya algorithm are …

In this article, an efficient methodology is developed to optimize nonlinear steel frames
under several load combinations. For that purpose, inelastic advanced analyses of steel …

Structural engineering has different designs, which are needed some requirements for
generation suitable modelings. These requirements are related safety of structures and …

Despite many existing research studies for multi-objective scheduling, the problems of
scheduling of large-scale construction projects are not solved with much success due to the …

This paper introduces a novel Time-Cost Trade-Off Optimization Model (TCTOM) tailored for
retrofitting projects in densely populated areas like India. Integrating structural, electrical …

In this paper, a multi-objective optimization method for buckling restrained brace frames is
presented accompanied with the nonlinear time-history analysis. A new application of multi …

This study focuses on multi-objective performance-based seismic optimization of steel
moment frames by an efficient algorithm. In the present study, an efficient framework is …

Sizing optimization of steel frames using direct analysis is a highly complex optimization
problem with discrete design variables and highly nonlinear constraints of structural safety …