The optimization of large trusses often leads to a nearly optimal solution, rather than a truly optimal design. In fact, the problem space for truss optimization grows exponentially with the size of the truss. Using the method of problem reduction, this paper demonstrates that truss optimization is in the set of NP-complete problems. Hence, the only practical techniques for solving the truss pr...

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...

Evolution Strategies (ES) are a class of Evolutionary Algorithms based on Gaussian mutation and deterministic selection. Gaussian mutation captures pair-wise dependencies between the variables through a covariance matrix. Covariance Matrix Adaptation (CMA) is a method to update this covariance matrix. In this paper, the CMA-ES, which has found many applications in solving continuous optimizatio...

Meta-heuristics have received increasing attention in recent years. The present article introduces a novel method in such a class that distinguishes a number of artificial search agents called players within two teams. At each iteration, the active player concerns some other players in both teams to construct its special movements and to get more score. At the end of some iterations (like quart...

Vibration-based damage detection tools are frequently employed because of their advantages over other non-destructive techniques. This paper presents an improved Frequency Response Function (FRF) indicator for identification in complex structures. To verify the effectiveness indicator, different structures used, namely a 20-Bar Planar Truss (2D), 28-Bar Space (3D), 72-Bar Truss, and 600-bar Tru...

This paper presents a decentralized algorithm for the coordinated assembly of 3D objects that consist of multiple types of parts, using a networked team of robots. We describe the algorithm and analyzed its stability and adaptation properties. We instantiate the algorithm to building truss-like objects using rods and connectors. We implement the algorithm in simulation and show results for cons...

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...