resolve job sequencing problem with a deadline (JSD) needs exponential time O( \\( n^{2} \\) ), where sorting algorithm [O( \\( nlog\\left( n ight) \\) )-(Merge Sort)] must have to use to sort all the jobs in d
M. (2020). A new approach to solve job sequencing problem using dynamic programming with reduced time complexity. Communications in Computer and Information Science, 1235 CCIS. https://doi.org/10.1007/978-981-15-6648-6_25. Google Scholar Hossain et al., 2020 M.S. Hossain, S. Mondal, R...
The high diversity and complexity of the eukaryotic transcriptome make it difficult to effectively detect specific transcripts of interest. Current targeted RNA sequencing methods often require complex pre-sequencing enrichment steps, which can compromise the comprehensive characterization of the entire transcri...
Hence, time-dependent processing times add a layer of complexity, and already the makespan minimization poses a challenge. 1.1 Processing time function In time-dependent scheduling, the classic effect of a job’s start time on its basic processing time is additive. Here, a penalty function ϖ...
The current study addresses the problem of scheduling in dynamic assembly job-shops (i.e. shops that manufacture multi-level jobs) with the consideration of jobs having different earliness, tardiness and holding costs. An attempt is made in this paper to present dispatching rules by incorporating ...
Proposing a new workflow scheduling algorithm, which achieves the best scheduling using a new utility function. The continuation of the paper is as follows: In the second section, related work is presented. In the third section, the scheduling management system architecture is presented and in the...
a general continuous-time Markov model of the evolution of an entire sequence via insertions and deletions. Our model is a simple extension of the general “substitution/insertion/deletion (SID) model”. Using the operator representation of indels and the technique of time-dependent perturbation theo...
For a two machines and 'n' jobs problem, Johnson's algorithm produces the optimum makespan. The problem is NP complete [1] for more than two machines, n jobs. In view of the complexity of these problems, most of the researches concentrate on the heuristic procedures to get near optimum ...
The scheduler takes the job of selecting the task from the system task queue. Two factors determine the difference between a RTOS and a non-RTOS; the first is the algorithm which select this task from the system queue, and the second is the algorithm that deals with multitasking concurrency....
In addition, let p[r] and p[r]A be the normal and the actual processing time of a job if it is scheduled in the rth position in a sequence respectively. In this paper, we consider a new learning effect Computational complexity In this section, we present the complexity results of the...