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Therefore, in current paper, in order to taking properties of chaos, eight chaotic maps are employed within a differential evolution (DE) algorithm for solving a stochastic job scheduling problem.
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This paper describes a simulation-based decision support system (DSS) to production control of a stochastic flexible job shop (SFJS) manufacturing system.
The estimated number of job opportunities in a given county is also a stochastic variable proportional to the total population of the county.
In this paper, the optimal policy, named SMPR, is designed for the single-machine preemptive stochastic scheduling problem where jobs have a common arriving time.
Specifically, we executed 10,000 simulation runs of the exemplar model as a batch job on an HP XC machine with distributed memory architecture using the Gillespie direct stochastic simulation algorithm and various numbers of processors.
Nonetheless, the sources of new segregating alleles (genetic differences) were still assumed to be stochastic accidents.
This paper addresses a stochastic online scheduling problem in which a set of independent jobs are to be processed by two uniform machines whose speeds are 1 and s (s⩾1).
The LEPT strategy is a stochastic scheduling strategy that processes jobs in decreasing order with respect to the expected processing time.
And Chris Bretherton of the University of Washington, Seattle, who chaired a 2012 study of climate models by the U.S. National Research Council, says critics of existing models have yet to present convincing evidence that stochastic modeling could do a better job.
Basically, these heuristics can deal easily with most dynamic changes such as dynamic job arrivals, machine breakdowns, and stochastic processing times.
Uncertainty related to customer demand is dealt by using stochastic variables, whereas overall costs, carbon emissions, job opportunities, and the detrimental effects of the resulting solutions are handled using fuzzy numbers.
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