In many basic scheduling models, jobs’ processing times and due-dates are deterministic. Practically, they are as uncertain variables in some more models. Furthermore, in a real situation of decision making, there exists uncertainty that can not be described only by fuzziness but also randomness. The purpose of this paper is to develop a methodology for parallel machines scheduling problem with...

University course timetabling problem is one of the hard problems and it must be done for each term frequently which is an exhausting and time consuming task. The main technique in the presented approach is focused on developing and making the process of timetabling common lecturers among different departments of a university scalable. The aim of this paper is to improve the satisfaction of com...

Current research on gain scheduling is clarifying customary practices as well as devising new approaches and methods for the design of nonlinear control systems. Abstract Gain scheduling for nonlinear controller design is described in terms of general features of the approach and in terms of early examples of applications in #ight control and automotive engine control. Then recent research is d...

Genetic algorithm is one of the main heuristics that have been applied to scheduling problems in the last few decades. This paper presents a generalization of the genetic algorithm for solving project scheduling problem under time uncertainties within resource leveling technique. The generalization consists of handling fuzzy time parameter and fuzzy resource distribution instead of crisp ones. ...

This paper presents the simulation results for the fuzzy control of slow processes with or without dead time. Many results obtained by a lot of crisp and fuzzy control techniques for the error gain and (or) variation error in connection with the transient performances (settling time, rise time, overshoot etc.) are reported in the specialty literature. The fuzzy control techniques for the error ...

this paper presents a new mathematical model for a bi-objective job shop scheduling problem with sequence-dependent setup times that minimizes the weighted mean completion time and the weighted mean tardiness time. for solving this multi-objective model, we develop a fuzzy multi-objective linear programming (fmolp) model. in this problem, a proposed fmolp method is applied with respect to the o...

The problem of Order Acceptance and Scheduling (OAS) is defined as a joint decision of which orders to accept for processing and how to schedule them. Any linear programming model representing real-world situation involves the parameters defined by the decision maker in an uncertain way or by means of language statement. Fuzzy data can be used to incorporate vagueness in the real-life situation...

This paper presents an analysis of DSR protocol and packet scheduling algorithm to find those that most improve performance in congested network and proposes our algorithm to improve the performance of DSR protocol by using fuzzy logic in mobile ad hoc networks. Packet schedulers in wireless ad hoc networks serve data packets in FIFO order. Because, a scheduling algorithm to schedule the packet...

The paper presents a novel adaptive sliding mode fuzzy control strategy (AFSMC) for maintaining steam temperature in power plants. The AFSMC consists of a learning algorithm inspired by the sliding-mode control (SMC) and fuzzy gain scheduling integral control to compensate system offsets. The performance index for the learning algorithm has a similar structure to the switching variables derived...