Because of descriptive nonlinearity and computational inefficiency, topology optimization with fatigue life under aperiodic loads has developed slowly. A constraint method based on bidirectional evolutionary structural (BESO) an load is proposed in this paper. In view the severe damage respect to design variables, effective stress cycles are extracted through transient dynamic analysis. Based M...

To design a more economical structural form, it is necessary to optimize both the topology and shape of structures. To optimize topology, we propose a hybrid of Genetic Algorithm (GA) and Evolutionary Structural Optimization (ESO). This paper describes the considerations in applying the proposed method to topology structural optimization. Through numerical examples, the proposed method showed b...

This paper describes a new design paradigm, evolutionary structural design, that involves the entire design process, including conceptual and detailed design stages. In this paper, first a brief overview of the fundamentals of evolutionary computation is provided. Next, the concept of evolutionary structural design and its principia are discussed. Inventor 2001 is described in the following sec...

The availability of high speed parallel computers and process simulators capable of rigorous flowsheet calculation has given way to new methodologies for the optimization of chemical processes. Evolutionary algorithms (EAs), derived from biological adaptation paradigms, have proven to be a powerful and robust optimizing technique even for structural optimization problems. We have adopted this m...

Since the introduction of finite element analysis software in the 1970s, structural engineers have become increasingly reliant on computational tools to carry out sophisticated simulations of structural performance. However, most structural analysis tools can only be used once there is a structure to be analyzed; they are not directly applicable in the design or synthesis of a new structural so...

many real world problems can be modelled as an optimization problem. evolutionary algorithms are used to solve these problems. ant colony algorithm is a class of evolutionary algorithms that have been inspired of some specific ants looking for food in the nature. these ants leave trail pheromone on the ground to mark good ways that can be followed by other members of the group. ant colony optim...