An empirical evaluation of teaching–learning-based optimization, genetic algorithm and particle swarm optimization
Author:
Affiliation:
1. Department of Computer Science and Engineering, G.L. Bajaj Institute of Technology & Management, Greater Noida, India
2. Department of Computer Science & Engineering, Galgotias University, Greater Noida, India
Publisher
Informa UK Limited
Subject
Computer Graphics and Computer-Aided Design,Computer Science Applications,Hardware and Architecture,Software
Link
https://www.tandfonline.com/doi/pdf/10.1080/1206212X.2019.1686562
Reference58 articles.
1. Interleaving of particle swarm optimization and differential evolution algorithm for global optimization
2. An adaptive inertia weight teaching-learning-based optimization algorithm and its applications
3. Hybrid TLBO-GSA Strategy for Constrained and Unconstrained Engineering Optimization Functions
4. A Self-Learning Particle Swarm Optimizer for Global Optimization Problems
5. Differential Evolution Using a Neighborhood-Based Mutation Operator
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