Evolutionary Computation in Scheduling

Scheduling and planning problems are generally complex, large-scale, challenging topics, and involve numerous constraints. To discover a real solution for these problems, most real-world problems must be formulated as discrete or mixed variable optimization problems. In this study, scientometric analysis is used to analyze scientific literature in this field. Here, scientometric mapping technique illustrates who works on what area, and it is attained by cognitive and density maps and network visualization. The chapter presents those research areas which are most inspired by evolutionary computation (EC) in scheduling. Also, the chapter presents a scientometric mapping analysis to identify who works on what in the field of EC in scheduling. This goal is attained by the visualization of different maps and networks. Finally, summary, conclusions, and future research in the field are presented.