Structural engineering is focused on the safe and efficient design of infrastructure. Projects
can range in size and complexity, many requiring massive amounts of materials and …

In a population-based meta-heuristic, the search process is divided into two main phases:
exploration versus exploitation. In the exploration phase, a random behavior is fruitful to …

A new combination of swarm intelligence and chaos theory is presented for optimal design
of truss structures. Here the tendency to form swarms appearing in many different organisms …

This article presents a comprehensive review of chaos embedded meta-heuristic
optimization algorithms and describes the evolution of this algorithms along with some …

This paper proposes a method for the optimum design of a new industrialized precast 'Wall-
Floor'building system using the Artificial Intelligence (AI), in which collaboration between the …

Multi-verse optimization algorithm (MVO) is one of the recent meta-heuristic optimization
algorithms. The main inspiration of this algorithm came from multi-verse theory in physics …

The contribution of this study is to propose a multi-stage particle swarm optimization
(MSPSO) for structural optimization. In this paper, three auxiliary improving mechanisms are …

Abstract In this study, Imperialistic Competitive Algorithm (ICA) is utilized for locating the
critical failure surface and computing the factor of safety (FOS) in a slope stability analysis …

This paper presents a new multi-objective optimization algorithm called FC-MOPSO for
optimal design of engineering problems with a small number of function evaluations. The …

This paper proposes a novel chaotic heterogeneous comprehensive learning particle swarm
optimization (CLPSO) method for the simultaneous size and shape design of structures. The …