[PDF] Top 20 Pareto-based Multi-criteria Evolutionary Algorithm for Parallel Machines Scheduling Problem with Sequence-dependent Setup Times

... 3. 1. Chromosome Representation Chromosome representation determines how the problem is structured in the GA. For representing chromosomes, we use binary coding. Chromosomes are made of zero-one genes. Genes ... See full document

... UPMs scheduling problem with sequence-dependent setup times, non- identical due dates, ready times and precedence relations to minimize the number of tardy jobs and the ... See full document

... novel, multi-objective model of a parallel machines scheduling problem that minimizes the number of tardy jobs and total completion time of all ...model, machines are considered ... See full document

... Job-shop scheduling problem is one of the most important fields in manufacturing optimization where a set of n jobs must be processed on a set of m specified ...Shop problem (FJSP) is a ... See full document

... (SA) algorithm, based on the equivalence of annealing process of metals, was worked on by Osman and Potts ...SA based heuristic algorithms for the PFSP and proved that their algorithm offers ... See full document

... job-shop scheduling problem. They also developed a heuristic algorithm to identify a good solutions for the model based on the “Tabu search mechanism” (He, Liu, Cao, & Li, ... See full document

... of scheduling researches assume that setup times are negligible or part of the processing ...of setup [5]. By knowing that the scheduling of independent jobs with a common due date on a ... See full document

... this problem hasn’t permitted to find one solution using optimising methods and so the authors have developed a heuristic based on the simulated annealing algorithm which allows obtaining ... See full document

... machine scheduling problem with jobs due on different days, multiple criteria and sequence-dependent setup ...The problem is even more complex because businesses often ... See full document

... of machines with minimum makespan. Johnson algorithm [102] was used and a simple constructive heuristic algorithm was ...simple algorithm named as restarted iterated Pareto greedy ... See full document

... identical parallel-machine scheduling problem with sequence-dependent setup times and release dates to minimize the total completion ...subset based on this ... See full document

... the problem of scheduling on parallel machines in which the setup time is sequence- ...the problem as an integer program and for the general cases they developed a hybr- ... See full document

... on scheduling assume setup times negligible or as a part of the processing ...shop scheduling with sequence dependent setup times is ...the problem, a ... See full document

... the scheduling of multiple products on a single machine with sequence dependent setup times and ...production sequence can decrease total costs (including setup costs, ... See full document

... The problem of operating the runway efficiently is challenging and there are many issues that cause ...aircraft based on their size and type of operation. Because of the sequence dependency involved, ... See full document

... the problem to minimize the total weighted completion time, we show that an optimal solution if the processing times and the weights are agreeable, ... See full document

... require multi-maintenance activities to improve its production efficiency or product ...The problem of joint scheduling and maintenance has become a popular topic and has received the attention of ... See full document

... lot-scheduling problem (ELSP). Original ELSP concerns with lot sizing and scheduling of several items in a single stage production facility, so that corresponding demands are met without shortage, ... See full document

... A known drawback of this method is the multitude of trials that must be performed, corresponding to different values of in the interval [0,1]. This requires substantial computing effort. Fig. 1 to Fig. 5 show the ... See full document

... • Recently, a Group Search Optimiser (GSO) was developed at the University of Liverpool [56], which was inspired by animal searching behaviour and group living theory [57]. The strategies of information-sharing [58] and ... See full document