The intrinsic and pervasive uncertainty of the real world causes unforeseen disturbances during the execution of plans. The continuous adaptation of existing schedules is necessary in response to the corresponding disruptions. Affected Operations Rescheduling (AOR) and Matchup Scheduling (MUP) have proven to be efficient techniques for this purpose, as they take only a subset of future activiti...

This paper presents a new approach to the scheduling problem in high level synthesis. In this approach, iterative rescheduling processes are performed in a branch-andbound manner, starting with the as soon as possible scheduling result, so as to find the scheduling result of the lowest hardware cost under the given timing constraint. At each iteration step, only the candidate nodes are selected...

This paper draws an overview of various quantitative rescheduling models that have been developed in past research in dealing with delay management of passenger railway services. In general, the quantitative models highlighted aimed to reduce or minimize the service delays experienced by passengers when service disruptions occur. In many literatures observed, the delay management problems are f...

This paper presents a linear programming (LP) based approach for the alleviation of line overloads by generation rescheduling and load shedding. The algorithm is based on solving a linearized set of optimal equations. The objective function for generation rescheduling is to minimize the linearized system operating cost while satisfying the system equality and inequality constraints. In respect ...

Unplanned and abnormal events may have a significant impact on the feasibility of plans and schedules which requires to repair them ‘on-the-fly’ to guarantee due date compliance of orders-in-progress and negotiating delivery conditions for new orders. In this work, a repair-based rescheduling approach based on the integration of intensive simulations with logical and relational reinforcement le...

The practitioners and researchers has received considerable attention solving complex optimization problems with metaheuristic algorithms during the past decade. Many of these algorithms are inspired by various phenomena of nature. One of the promising solutions for secure and continuous power flow in the transmission line is rescheduling based congestion management approach but the base proble...