Hybridizing Teaching-Learning Based Optimization with GA and PSO: Case Study of Supply Chain Network Model
Author:
Affiliation:
1. Fuzzy Logic Systems Institute and Tokyo University of Science,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9798893/9798894/09799255.pdf?arnumber=9799255
Reference37 articles.
1. Constrained optimization based on hybridized version of superiority of feasibility solution strategy;khan;Research Square,2021
2. An adaptive inertia weight teaching-learning-based optimization algorithm and its applications
3. Teaching–learning-based optimization algorithm for multi-skill resource constrained project scheduling problem
4. A co-evolutionary teaching-learning-based optimization algorithm for stochastic RCPSP
5. A hybrid adaptive teaching–learning-based optimization and differential evolution for parameter identification of photovoltaic models
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1. Applying GA-PSO-TLBO approach to engineering optimization problems;Mathematical Biosciences and Engineering;2022
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