Rule-Based Classification Based on Ant Colony Optimization: A Comprehensive Review

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Parameter</td><td class="align_center">Definition</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Maximum uncovered cases (max_uncovered_cases)</td><td class="align_center">The maximum number of cases in the training data that can be left out without being covered by any rule</td></tr><tr><td class="align_left">Minimum cases per rule (min_cases_rule)</td><td class="align_center">The minimum number of cases that must be covered by a rule when a new term is added to the rule</td></tr><tr><td class="align_left">Number of iterations (max_iteration)</td><td class="align_center">The maximum number of ant cycles allowed if other convergence criteria are not met</td></tr><tr><td class="align_left">Number of ants (max_ant)</td><td class="align_center">The maximum number of ants representing how many rules are to be constructed in each ant cycle</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Definitions of commonly used parameters in AntMiner algorithms.</div>

Applied Computational Intelligence and Soft Computing

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Table 3

Table 3: Rule-Based Classification Based on Ant Colony Optimization: A Comprehensive Review 