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Local search of the TLBO occurs during the learner phase.
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The excellent learners are more likely to choose the learner phase to enhance population diversity, and the common learners are tend to choose the teacher phase to improve the convergence ability of the algorithm.
Concerning the teacher phase, it consists to make learning from the teacher, and concerning the learner phase, the learning is made via the interaction between learners.
In the learner phase, every individual learns from both the teacher of the current generation and other individuals.
The TLBO technique consists of two phases: the first one is the "teacher phase" and the second one is the "learner phase".
'Teacher Phase' means learning from the teacher and 'Learner Phase' means learning by the interaction between learners.
In Learner Phase, the learner learns knowledge from another learner which is randomly selected from the whole class or the mutual learning experience of two randomly selected learners according to a random probability.
The TLBO consists of two phases: teacher phase and learner phase.
This algorithm comprises two parts: "teacher phase" and "learner phase".
The IBCR-RE training fosters the application of theoretical knowledge gained during the learners' studies.
After the learner map building phase, the learner maps were gathered online and analyzed by KBmap Analyzer.
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