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Investigation of maintenance metrics with search-based techniques.
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Refactoring with search-based techniques.
It would be useful to have some form of explicit guidance on how to choose metrics for a search-based optimization technique.
The rest of the paper is organized as follows: In Section 2, we have given the literature review of existing routing metrics, optimization, and search-based problems.
That suggests an obvious way forward to combine a neural network with a search-based approach.
Amazon recently reached an agreement with Google to use its search-based advertising system for searches made on Amazon.
VNS is categorized as a local search-based algorithm armed with systematic neighborhood search structures.
Harman and Tratt (Harman & Tratt, 2007) argued how Pareto optimality can be used to improve search-based refactoring by combining different metrics in a useful way.
A study was conducted (Vivanco & Pizzi, 2004) to compare 64 different metrics in an attempt to determine the most effective ones for search-based optimization.
Alternative support metrics with dedicated Apriori-based searches have been additionally referred in literature [ 38– 40].
Vivanco and Pizzi (2004) used search-based techniques to select the most suitable maintainability metrics from a group.
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