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As dynamic job shop scheduling problem is known NP-hard combinatorial optimization, this paper introduces efficient hybrid Genetic Algorithm (GA) methodologies for minimizing makespan in this kind of problem.
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This paper presents a concurrent topology optimization methodology for minimizing the frequency responses of multiscale systems composed of macro and micro phases.
The randomized controlled trial is an accepted methodology for minimizing potential biases and ensuring high internal validity.
This review covers a disparate group of subjects ranging from technology for measuring cardiac output to methodology for minimizing the risks associated with insertion of central venous lines.
These methodologies provide a means for minimizing the dual problems of over-provision (unnecessary care) and under-provision (insufficient care) of cancer control resources.
The methodology shows great potential for minimizing energy requirements (total shaft work) in subambient processes.
The methodology shows great potential for minimizing total shaft work in subambient processes.
Furthermore, our proposed model provides a methodology to audit a TPA for minimizing any potential insider threats.
Their methodology included (1) a mathematical model for minimizing the total materials/components travelling distance subject to constraints, such as delivery due dates of products, capacities of resources, and critical tool limitations, and (2) an ant colony optimization method for solving cell formation and production scheduling.
In fact, this methodology provides a quantified decision-based plan for minimizing risk in oil reservoirs (Kloosterman et al. 2008).
Conditions for minimizing polydispersity were determined on the basis of the experimental design methodology.
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CEO of Professional Science Editing for Scientists @ prosciediting.com