Structural  design  optimization  usually  deals  with  multiple  conflicting  objectives  to  obtain the minimum construction cost, minimum weight, and maximum safety of the final design. Therefore, finding the optimum design is hard and time-consuming for  such problems.  In this paper, we borrow the basic concept of multi-criterion decision-making and combine it with  Particle  Swarm  Optimi...

While Bayesian Optimization (BO) is a very popular method for optimizing expensive black-box functions, it fails to leverage the experience of domain experts. This causes BO waste function evaluations on bad design choices (e.g., machine learning hyperparameters) that expert already knows work poorly. To address this issue, we introduce with Prior Optimum (BOPrO). BOPrO allows users inject thei...

A novel median filter based on crow optimization algorithms (OMF) is suggested to reduce the random salt and pepper noise improve quality of RGB-colored gray images. The fundamental idea approach that first, algorithm detects pixels, replacing them with an optimum value depending a criterion maximization fitness function. Finally, standard measure peak signal-to-noise ratio (PSNR), Structural S...

The classical methods of optimization are useful in finding the optimum solution of continuous and differentiable functions. These methods are analytical and make use of the techniques of differential calculus in locating the optimum points. Since some of the practical problems involve objective functions that are not continuous and/or differentiable, the classical optimization techniques have ...

This study is investigated the optimum parameters for a tuned mass damper (TMD) under the seismic excitation. Shuffled complex evolution (SCE) is a meta-heuristic optimization method which is used to find the optimum damping and tuning frequency ratio for a TMD. The efficiency of the TMD is evaluated by decreasing the structural displacement dynamic magnification factor (DDMF) and acceleration ...

BACKGROUND Cardiac resynchronization therapy improves morbidity and mortality in appropriately selected patients. Whether atrioventricular (AV) and interventricular (VV) pacing interval optimization confers further clinical improvement remains unclear. A variety of techniques are used to estimate optimum AV/VV intervals; however, the precision of their estimates and the ramifications of an impr...

In recent years Evolutionary computation has its growth to extent. Synthesis of non-uniform linear antenna arrays is one of the most important electromagnetic optimization problems of the current interest. In this paper, the design of non-uniform linear antenna arrays with optimum side lobe level reduction is investigated. Two global evolutionary optimization methods are Particle Swarm Optimiza...

This paper describes a technique that enables to generate high order / curvilinear meshes in a robust fashion. Accurate estimates of jacobian bounds are used for deriving an unconstrained optimization procedure. Both 2D and 3D valid high order meshes are presented that demonstrate the efficiency of the new technique.