Li Zhang

TL;DR: This work proposes an evolutionary topology optimization method for stress minimization design using the bi-directional evolutionary structural optimization (BESO) method, which has been shown efficient, practical and easy-to-implement through a series of 2D and 3D benchmark designs.

TL;DR: In this article, a new level set method for topological shape optimization of 3D structures considering manufacturing constraints is proposed, where the boundary of structure is implicitly represented as the zero level set of a higher-dimensional level set function, and the implicit surface is parameterized through the interpolation of a given set of compactly supported radial basis functions.

TL;DR: An order oriented simultaneous sequencing and balancing problem of multi-mixed model assembly lines with an aim to minimize the variation in material usage, minimize the maximum makespan among the multi-lines and minimize the penalty cost of the late delivery models from different orders simultaneously is investigated.

TL;DR: In this article, a novel genetic artificial bee colony (GABC) algorithm is introduced with a new food source representation for the current problem, which considered neighbor food sources for local search and used crossover and mutation operations of genetic algorithm to enhance the exploration ability of the proposed algorithm.

TL;DR: Computational results indicate that proposed PGABC outperforms the other considered algorithms both in terms of solution diversity and quality based on the considered test problem instances.