...Ting Zhou; Yingjie Wei; Jian Niu; Yuxin Jie Purpose Metaheuristic algorithms based on biology, evolutionary theory and physical principles, have been widely developed for complex global optimization. This paper aims to present a new hybrid optimization algorithm that combines the characteristics...

...Xiwen Cai; Haobo Qiu; Liang Gao; Xiaoke Li; Xinyu Shao Purpose This paper aims to propose hybrid global optimization based on multiple metamodels for improving the efficiency of global optimization. Design/methodology/approach The method has fully utilized the information provided by different...

... error sampling, WAES) to obtain accurate metamodels and apply it to improve the quality of global optimization. Design/methodology/approach A sequential single objective formulation is constructed to adaptively select new sample points. In this formulation, the optimization objective is to select...

... using pthreads (DLBDCT). © MCB UP Limited 2001 Search methods Global optimization Algorithms There has been a renaissance in direct search algorithms for optimization, as nicely summarized in the recent state‐of‐the‐art assessment by Lewis et al. (forthcoming...

... the objective of the project in detail. The project may prove expensive if it is found later that incorrect design variables or responses were considered. © MCB UP Limited 1999 CAD Design optimization Global optimization Structural optimization Design optimisation may be vital for some...