This paper presents an efficient optimization procedure to find the optimal shapes of double curvature  arch  dams  considering  fluid–structure  interaction  subject  to  earthquake  loading. The optimization is carried out using a combination of the magnetic charged system search, big bang-big crunch algorithm and artificial neural network methods. Performing the finite element  analysis  dur...

This paper puts forward a constructive heuristic algorithm called the method of inserting minimum neighbor edge from outside to center (IMNEFOTC) that can be applied solve large-scale and ultra-large-scale travelling salesman problems. Through it randomized greedy (RGH) which is modified, general meta-heuristic search framework built. The (GSA) based on set initial solutions, continuous 2-opt o...

Clustering in high dimensional space is a difficult problem which is recurrent in many fields of science and engineering, e.g., bioinformatics, image processing, pattern reorganization and data mining. In high dimensional space some of the dimensions are likely to be irrelevant, thus hiding the possible clustering. In very high dimensions it is common for all the objects in a dataset to be near...

the synthesis of heat integrated multi-component distillation systems is complex due to its huge search space for structural combination and optimization computation. to provide a systematic approach and tools for the synthesis design of distillation systems, a new method for modeling heat integrated columns is presented, and the operating cost objective function is minimized by improved harmon...

A re®ned three-dimensional layer-integrated model to predict accurately salt and cohesive sediment transport in estuarine waters is described herein. A splitting algorithm has been used to split the three-dimensional transport equation into a horizontal twodimensional equation and a vertical one-dimensional equation due to the di€erent length scales. An additional source term associated with th...