- Title
- Bi-swarm particle swarm optimizer with novel neighborhood topology strategy and its application of intermodal transportation
- Creator
- Cao, Yulian; Lodewijks, Gabriel; Li, Wenfeng
- Relation
- 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC). Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC) (Bari, Italy 06-09 October, 2019) p. 3741-3745
- Publisher Link
- http://dx.doi.org/10.1109/SMC.2019.8914598
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Resource Type
- conference paper
- Date
- 2019
- Description
- A Bi-swarm Particle Swarm Optimizer with novel neighborhood topology strategy (BPSO-NT) is proposed in this paper. The increase of its population diversity helps to improve its global search ability. The strategy of updating neighborhood topology that plays a vital role in the particle swarm optimization algorithm (PSO) is studied by leveraging link prediction techniques. Different learning strategies are utilized to update the velocity of individuals in the two swarms of BPSO-NT. From comparison results with the state-of-the-art PSO variants on ten benchmark functions, the superiority of the proposed algorithm is demonstrated. Furthermore, BPSO-NT is applied to the intermodal transportation planning, and statistical results show that BPSO-NT outperforms other PSO variants in this practical optimization problem.
- Subject
- learning (artificial intelligence); particle swarm optimisation; planning; search problems; transportation
- Identifier
- http://hdl.handle.net/1959.13/1447638
- Identifier
- uon:43205
- Identifier
- ISBN:9781728145693
- Identifier
- ISSN:1062-922X
- Language
- eng
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