Size optimization of space trusses using Big Bang–Big Crunch algorithm

Mixed Approaches to Handle Limitations and Execute Mutation in the Genetic Algorithm for Truss Size, Shape and Topology Optimization

“…6) in different variants was performed in Refs. [7,10,16,44,[49][50][51] and in many other articles. This paper gives consideration to the condition of a 25-bar truss size optimization problem according to Ref.…”

Multi-objective Truss Optimization Using Different Types of the BB-BC Algorithm

“…In order to overcome these drawbacks, we have implemented hybridization of BB-BC and some characteristics of Particle Swarm Optimization (PSO) proposed in [5] because this approach has been proven to be successful in solving different design problems [5,6]. PSO is optimization algorithm inspired by birds flocking or fish schooling in search for food [7,8], where every individual (particle) adjusts its movements according to both its own experience and the population experience.…”

“…PSO is optimization algorithm inspired by birds flocking or fish schooling in search for food [7,8], where every individual (particle) adjusts its movements according to both its own experience and the population experience. This feature has been used for modifying the BB-BC into hybrid BB-BC (HBB-BC) by using not only the center of mass from the previous generation (X c k ) but also the best position of a given individual solution up to iteration k (X lbest(k) ) and the best position in the whole population found up to the iteration k (X gbest(k) ) [5]:…”

A Quantitative Comparison Between Size, Shape, Topology and Simultaneous Optimization for Truss Structures

“…These vary from focussing on a single aspect of the structure such as size, topology or shape optimization (Kaveh and Talatahari, 2009;Mohr et al, 2011;Wang et al, 2002), to a multilevel approach where individual aspects are considered sequentially (Miguel et al, 2013;Sobieszczanski-Sobieski et al, 1987) or a simultaneous approach where two or more aspects are considered together (Mortazavi and Toğan, 2016;Ahrari et al, 2015).…”