optimization of structures for minimum weight has become important in the recent designs. in this study, a genetic optimization algorithm for weight minimization of steel frames has been used. the genetic algorithm is an optimization and search technique based on the principles of genetics and natural selection. constraints regarding material strength and serviceability are taken from “aisc cod...

the objective of this research is geometrical optimization of half toroidal continuously variable transmission (cvt) in order to achieve high power transmission efficiency and low weight. after dynamic analysis of the system, the contact between the disk and the roller is modeled according to elasto-hydrodynamic lubrication principles. accordingly, a computer model is created with geometric, th...

in this paper, an optimization method for both weight and displacement of composite blades is presented. in   order to hold issues such as aerodynamics and acoustic unchanged, airfoil shape during optimization process remained constant. to achieve the ultimate goal, only blade lamination was changed. in order to achieve minimum weight for each part of the structure, the lowest layers are foreca...

optimal design of cantilever reinforced concrete retaining wall can lead considerable cost saving if its involvement in hill road formation and railway line formation is significant.  a study of weight reduction optimization of reinforced cantilever retaining wall subjected to a sloped backfill using differential evolution algorithm (dea) is carried out in the present research.  the retaining w...

We discuss the improvement in the accuracy of a Monte Carlo integration that can be obtained by optimization of the a-priori weights of the various channels. These channels may be either the strata in a stratified-sampling approach, or the several ‘approximate’ distributions such as are used in event generators for particle phenomenology. The optimization algorithm does not require any initiali...

in this paper, a multi-objective method is used to optimize a heat recovery steam generator (hrsg). two objective functions have been used in the optimization, which are irreversibility and hrsg equivalent volume. the former expresses the exergetic efficiency and the latter demonstrates the cost of the hrsg. decision variables are geometric and operational parameters of the hrsg. the results of...

due to the probabilistic nature and uncertainties of structural parameters, reliability-based optimization will enable engineers to account for the safety of the structures and allow for its decision making applicability. thus, reliability-based design will substitute deterministic rules of codes of practice. space structures are of those types that have an exceedingly high range of applicabili...