Abstract
In this investigation, we propose a modified teaching-learning-based optimization algorithm (mTLBO) for solving the traveling salesman problems. We design an mTLBO with Boltzmann selection, novel upgradation strategy in the teaching phase, and interactive group-based crossover for learners in the learning phase. In the teaching phase, we focus on different learning abilities of different subjects of individual learners and in the learning phase, learners are randomly divided to form different groups; it helps to maintain the diversity of the population and to avoid premature convergence. The proposed algorithm is tested against benchmark functions from TSPLIB. The results are compared with the proposed mTLBO, TLBO and standard Genetic Algorithm with Roulette wheel selection, cyclic crossover and random mutation. The effectiveness of the proposed algorithm is shown through statistical test ANOVA.
Original language | English |
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Title of host publication | Human-Centric Smart Computing - Proceedings of ICHCSC 2022 |
Editors | Siddhartha Bhattacharyya, Jyoti Sekhar Banerjee, Mario Köppen |
Number of pages | 11 |
Publisher | Springer Science+Business Media |
Publication date | 2023 |
Pages | 293-303 |
ISBN (Print) | 9789811954023 |
DOIs | |
Publication status | Published - 2023 |
Externally published | Yes |
Event | 1st International Conference on Human-Centric Smart Computing, ICHCSC 2022 - Virtual, Online Duration: 27 Apr 2022 → 29 Apr 2022 |
Conference
Conference | 1st International Conference on Human-Centric Smart Computing, ICHCSC 2022 |
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City | Virtual, Online |
Period | 27/04/2022 → 29/04/2022 |
Series | Smart Innovation, Systems and Technologies |
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Volume | 316 |
ISSN | 2190-3018 |
Bibliographical note
Publisher Copyright:© 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Keywords
- Boltzmann selection
- Group-based crossover
- TLBO
- Traveling salesman problem
- Upgradation strategy