In this paper, architectural constructions composed of spatial truss units are considered by using a new technique of artificial life. Such spatial truss structure has flexibility and adaptability to environments. At first, equilateral tetrahedral (regular tetrahedral) units, which are basic space units having three dimensions, are proliferated to specified directions at random. At every prolif...

Structural Optimization has progressed significantly in the past twenty years and is now commonly used in the design of mechanical and aeronautical components. A multitude of optimization programs exist and many have been incorporated in finite element programs and are an integral part of that design tool. Problems consisting of a single discipline like structural, vibrational etc., have been d...

One of the classical problems in the structural optimization field is the Truss Topology Design Problem (TTDP) which deals with the selection of optimal configuration for structural systems for applications in mechanical, civil, aerospace engineering, among others. In this paper we consider a TTDP where the goal is to find the stiffest truss, under a given load and with a bound on the total vol...

Static and dynamic multiobjective topology optimization of trusses with interval parameters is investigated. The uncertain parameters of the trusses are described by an interval model. The multiobjective topology optimization model of trusses with interval parameters is constructed. On the basis of Taylor expansion and natural interval extension, the stress and displacement response intervals u...

The success-history based adaptive differential evolution (SHADE) algorithm is an efficient modified version of the (DE) algorithm, and it has been successfully applied to solve some real-world optimization problems. However, best our knowledge, rarely in field structural optimization. optimal design structures with frequency constraints well known as a highly nonlinear non-convex problem many ...

This paper presents an improved multi-objective group search optimizer (IMGSO) that is based on Pareto theory that is designed to handle multi-objective optimization problems. The optimizer includes improvements in three areas: the transition-feasible region is used to address constraints, the Dealer’s Principle is used to construct the non-dominated set, and the producer is updated using a tab...