[Scheduling seminar] Dvir Shabtay (Ben-Gurion Uni) | On the Parameterized Complexity of Machine...

Keywords: Scheduling, NP-hard, Fixed parameterized tractability (FPT), Algorithmic design, Optimization The main goal of parameterized complexity is to try to design algorithms that are capable of solving (in reasonable time) hard problems in cases where some predefined problem parameters are of limited size. This theory was developed in the early 90s, contributing to many new techniques in the area of algorithmic design ever since. In this talk we survey the main aspects of parametrized complexity, and highlight its applicability to the area of scheduling. We also discuss some challenges and open problems for future research. Organized by Zdenek Hanzalek (CTU in Prague), Michael Pinedo (New York University), and Guohua Wan (Shanghai Jiao Tong). Seminar's webpage: https://schedulingseminar.com/