Purpose – This article proposes an adaptive strategy for managing knowledge in complex organizations. Specifically, this article aims to extend understanding in the field of knowledge management (KM) by examining how an adaptive strategy for managing knowledge can help organizations become innovative and build dynamic capabilities. Design/methodology/approach – Literature on complexity theory a...

Aiming at the drawbacks of Hunger Games Search (HGS) algorithm, such as slow convergence speed and tendency to fall into local optimum, a Multi-strategy fusion Improved Adaptive (MIA-HGS) algorithm is proposed. Firstly, good point set employed generate more diverse initial population. Secondly, control strategy selection parameter fixed in original HGS algorithm; an adaptive adjustment proposed...

The control of parameters during the execution of bioinspired algorithms is an open research area. In this paper, we propose a new parameter control strategy for the immune algorithm CLONALG. Our approach is based on reinforcement learning ideas. We focus our attention on controlling the number of clones. Our approach provides an efficient and low cost adaptive technique for parameter control. ...