...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...

.... Parallel results are presented for a multidisciplinary design optimization problem – configuration design of a high speed civil transport. Search methods Global optimization Algorithms There has been a renaissance in direct search algorithms for optimization, as nicely summarized in the recent...

... high‐accuracy approximations greatly reduced the cost of subsequent design calculations such as multidisciplinary and discrete optimisation. © MCB UP Limited 1999 CAD Design optimization Global optimization Structural optimization Design optimisation may be vital for some...