6.2.2. Manufacturing Industry

Li et al. [175] established a multi-task sparse reconstruction (MTSR) framework to optimize multiple sparse reconstruction tasks using a single population. The proposed method aims to search the locations of nonzero components or rows instead of searching sparse vectors or matrices directly, and the intra-task and inter-task genetic transfer are employed implicitly. Besides, Zhao et al. [176] successfully handled the endmember selection of hyperspectral images.

Constructing optimal data aggregation trees in wireless sensor networks is an NP-hard problem for larger instances. A new MTEC algorithm was proposed to solve multiple minimum energy cost aggregation tree (MECAT) problems simultaneously [67]. The authors presented crossover and mutation operators, enabling multi-task evolution between instances.
