Exact(1)
The proposed job scheduler is meant to solve job scheduling problems such as n independent jobs on m machines.
Similar(59)
Seeber (2013, p. 73) argued that in a number of professions it is not possible to solve job-specific tasks without applying mathematical routines, algorithms and models.
A clonal selection based memetic algorithm is proposed for solving job shop scheduling problems in this paper.
These schemes are shown to (1) further reduce the average complexity of the backtrack search procedure, (2) enable our system to efficiently solve problems that could not be solved otherwise due to excessive computation cost, and (3) be more effective at solving job shop scheduling problems than other look-back schemes advocated in the literature.
There are many studies designing efficient approaches to solve the job scheduling problem so as to improve the resultant performance subject to the resource constraints [6 9].
To solve the job shop scheduling problem more effectively, some genetic operators were designed in this paper.
To solve the job shop scheduling problem with the objective of minimizing total weighted tardiness, an artificial bee colony algorithm based on problem data analysis is proposed.
But the reality is that more pollution wouldn't solve our jobs problem.
It could solve the jobs problem in the coming year as well.
But according to Mr Bloomberg, to think that this would solve the jobs problem is largely New Deal nostalgia.
Or, if you prefer, they're saying that we can solve the jobs problem through Lake Wobegon economics, creating an environment in which every state, every age group, and every occupation offers wages that are below average.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com