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Section one includes introduction, statement of the problem, objectives, research questions and significance of the study.
Significant improvements are reported on the two problem objectives when compared with traditional load-balancing and round-robin techniques.
Problem objectives include reducing operating and transportation costs, environmental costs, and delay costs besides increasing in value of purchasing from importers.
In PHOA, several sub-populations moving independently in the search space with the aim of simultaneously optimizing the problem objectives considering the local behavior between sub-populations.
Following the DSR methodology as per Peffers et al. (2008), this study discusses the identification of and motivation for the research problem, objectives of a solution, design and development, and evaluation.
Following the DSR methodology as per Peffers et al. (2008), this study covers the identification of and motivation for the research problem, objectives of a solution, design and development, and evaluation.
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The problem objective is to minimize the biggest module amongst the samples of autocorrelation function.
The original problem objective of the case study was to evaluate infill drilling potentials and quantify associated uncertainty.
However, the choice of learning technique will depend on the main problem objective and type, available information, and network characteristics.
The problem objective is the simultaneous determination of time-optimum and collision-free paths for all AGVs.
In this type of the problem objective function is minimization of the total cost including opening cost of facilities and the total cost of routes.
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