Firstly this article briefly describes the technology of topology optimization. Then the design space of frame of aircraft deicing vehicle is established and the model of finite element is gained by meshing. Loads and DOF constraints are applied based on the analysis of working conditions. The results of topology optimization are attained by calculation. On the basis of aforementioned results, ...

Topology optimization often incorporates a reliability analysis to take the randomness in the design parameters into account. This strategy is inherently a double-loop procedure due to the probabilistic constraints in optimization. To simplify the calculation procedure, an equivalent-deterministic constraint, which is constructed by adding a penalty on the right hand side (RHS) of a limit state...

Population topology of particle swarm optimization (PSO) will directly affect the dissemination of optimal information during the evolutionary process and will have a significant impact on the performance of PSO. Classic static population topologies are usually used in PSO, such as fully connected topology, ring topology, star topology, and square topology. In this paper, the performance of PSO...

The article addresses combinatorial optimization schemes for design of multi-layer communication network topology. The paper consists of three parts: (a) description of system issues as basic requirements, trends (e.g., evolution, upgradeability), and a ”system space” for contemporary network design; (b) brief description of some basic combinatorial optimization problems as follows: multicriter...

Topology optimization is a powerful tool for global and multiscale design of structures, microstructures, and materials. The computational bottleneck of topology optimization is the solution of a large number of extremely ill-conditioned linear systems arising in the finite element analysis. Adaptive mesh refinement (AMR) is one efficient way to reduce the computational cost. We propose a new A...