The heavy-tailed mutation operator proposed in Doerr et al. (GECCO 2017), called fast to agree with the previously used language, so far was proven be advantageous only mutation-based algorithms. There, it can relieve algorithm designer from finding optimal rate and nevertheless obtain a performance close one that gives. In this first runtime analysis of crossover-based using choice rate, we sh...

The main aim of the present paper is to propose efficient multi-objective optimization algorithms (MOOAs) to tackle truss structure optimization problems. The proposed meta-heuristic algorithms are based on the firefly algorithm (FA) and bat algorithm (BA), which have been recently developed for single-objective optimization. In order to produce a well distributed Pareto front, some improvement...

Through the last three decades different seismological and engineering approaches for the generation of artificial earthquakes have been proposed. Selection of an appropriate method for the generation of applicable artificial earthquake accelerograms (AEAs) has been a challenging subject in the time history analysis of the structures in the case of the absence of sufficient recorded accelerogra...

We investigate a nonconvex, nonsmooth optimization approach based on DC (Difference of Convex functions) programming and DCA (DC Algorithm) for the so-called fitting problem, which aims to fit given set data points by function. The problem is tackled as minimizing squared Euclidean norm error. It formulated program standard scheme developed. Furthermore, modified with successive decomposition p...

In this paper, a new approach for estimating the number of wideband sources is proposed which is based on RSS or ISM algorithms. Numerical results show that the MDL-based and EIT-based proposed algorithm havea much better detection performance than that in EGM and AIC cases for small differences between the incident angles of sources. In addition, for similar conditions, RSS algorithm offers hi...