Reliability is often understood as the probability that a structure will not fail to perform its intended function. In this paper, the general formulation of consistent evaluation of the safety of structures and the associated methods of analysis are reviewed. After the reliability analysis of a cantilever beam is demonstrated, the methodology of reliability-based optimization and the related p...

Meta-heuristics have already received considerable attention in various engineering optimization fields. As one of the most rewarding tasks, eigenvalue optimization of truss structures is concerned in this study. In the proposed problem formulation the fundamental eigenvalue is to be maximized for a constant structural weight. The optimum is searched using Particle Swarm Optimization, PSO and i...

Water cycle algorithm (WCA) is a new metaheuristic algorithm which the fundamental concepts of WCA are derived from nature and are based on the observation of water cycle process and how rivers and streams flow to sea in the real world. In this paper, the task of sizing optimization of truss structures including discrete and continues variables carried out using WCA, and the optimization result...

Structural system design is the process of giving form to a set of interconnected components 1 subjected to loads and design constraints while navigating a complex design space. While safe 2 designs are relatively easy to develop, optimal designs are not. Modern computational optimization 3 approaches employ population based metaheuristic algorithms to overcome challenges with the 4 system desi...

Distributed Genetic Algorithm (DGA) is one of optimization methods and very suitable to parallel computers. Therefore, DGA is a very effective tool in high performance computing. In this paper, we discussed DGAs for designing truss structures. Most of the real world problems in optimization problems have constraints. Since DGA is an algorithm for problems without constraints, the fitness functi...

This paper presents a global optimization method for structural design optimization, which integrates subset simulation optimization (SSO) and the dynamic augmented Lagrangian multiplier method (DALMM). The proposed method formulates the structural design optimization as a series of unconstrained optimization sub-problems using DALMM and makes use of SSO to find the global optimum. The combined...

This paper utilizes recent optimization algorithm called Ant Lion Optimizer (ALO) for optimal design of skeletal structures. The ALO is based on the hunting mechanism of Antlions in nature. The random walk of ants, building traps, entrapment of ants in traps, catching preys, and re-building traps are main steps for this algorithm. The new algorithm is examined by designing three truss and frame...

The most effective scheme of truss optimization considers the combined effect of topology, shape and size (TSS); however, most available studies on truss optimization by meta-heuristics concentrated on one or two of the above aspects. The presence of diverse design variables and constraints in TSS optimization may account for such limited applicability of meta-heuristics to this field. In this ...