Job scheduling is concerned with the optimal allocation of scare resources with objective of optimising one or several criteria. Job scheduling has been a fruitful area of research for many decades in which scheduling resolve both allocation of machines and order of processing. If the jobs are scheduled properly, not only the time is saved but also efficiency of system is increased. The paralle...

This paper discusses a parallel machine scheduling problem in which the processing times of jobs and the release dates are independent uncertain variables with known uncertainty distributions. An uncertain programming model with multiple objectives is obtained, whose first objective is to minimize the maximum completion time or makespan, and second objective is to minimize the maximum tardiness...

In this paper we study the permutation #owshop scheduling problem with an increasing and decreasing series of dominating machines. The objective is to minimize one of the "ve regular performance criteria, namely, total weighted completion time, maximum lateness, maximum tardiness, number of tardy jobs and makespan. We establish that these "ve cases are solvable by presenting a polymonial-time s...

As an effective and efficient discriminative learning method, broad system (BLS) has received increasing attention due to its outstanding performance in various regression classification problems. However, the standard BLS is derived under minimum mean square error (MMSE) criterion, which is, of course, not always a good choice sensitivity outliers. To enhance robustness BLS, we propose this wo...