An adaptive learning approach for no-wait flowshop scheduling problems to minimize make-span

A Simple No - Wait Flowshop Scheduling Heuristicfor

َA Multi-objective simulated annealing algorithm to solving flexible no-wait flowshop scheduling problems with transportation times

This paper deals with a bi-objective hybrid no-wait flowshop scheduling problem minimizing the makespan and total weighted tardiness, in which we consider transportation times between stages. Obtaining an optimal solution for this type of complex, large-sized problem in reasonable computational time by using traditional approaches and optimization tools is extremely difficult. This paper presen...

No-wait flexible flowshop scheduling with no-idle machines

This paper considers a two-stage flexible flowshop scheduling problem with no waiting time between two sequential operations of a job and no idle time between two consecutive processed jobs on machines of the second stage. We show its complexity and present a heuristic algorithm with asymptotically tight error bounds. © 2004 Elsevier B.V. All rights reserved.

Scheduling a variant of flowshop problems to minimize total tardiness

This paper studies no-wait flowshop scheduling problems to minimize total tardiness. This paper mathematically formulates the problem as an effective mixed integer linear programming model. Moreover, this paper proposes solution methods based on variable neighborhood search and simulated annealing algorithms. Besides, some well-known heuristics of classical flow shops are adapted to the case of...

Application of ant colony optimization for no-wait flowshop scheduling problem to minimize the total completion time

Ant colony optimization (ACO) is a meta-heuristic proposed to derive approximate solutions for computationally hard problems by emulating the natural behaviors of ants. In the literature, several successful applications have been reported for graph-based optimization problems, such as vehicle routing problems and traveling salesman problems. In this paper, we propose an application of the ACO t...