Abstract: Evolutionary multi-task optimization is an emerging research topic in the field of evolutionary computation. It aims to achieve simultaneous optimization of different tasks by dynamically ...

Abstract: To reduce the low search efficiency and improve the unsatisfactory search results of traditional clustering algorithms, a novel chaotic dual population genetic algorithm (CDP-GA) is ...

IOD distinguishes itself as scientific home for researchers working at the boundaries of traditional academic spheres, and generating growing programs in the integration of research with informatics ...

Hematology-oncology trained physicians who treat sickle cell disease reported higher rates of burnout (60%) than their counterparts who do not provide sickle cell care (43%) despite no differences in ...