Probability vector enhanced tumbleweed optimization algorithm
Date
2024
Authors
Chen, Y.Z.
Wang, R.B.
Shi, H.J.
Hu, R.B.
Xu, L.
Editors
Pan, J.S.
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Book chapter
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Event/exhibition information: Fifteenth International Conference on Genetic and Evolutionary Computing, Daohsiung, 06/10/2023-08/10/2023
Source details - Title: Genetic and Evolutionary ComputingProceedings of the Fifteenth International Conference on Genetic and Evolutionary Computing, 2024 / Pan, J.S. (ed./s), vol.1114 LNEE, Ch.13, pp.118-127
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Abstract
As optimization problems become increasingly complex, the demand for hardware capabilities has also grown. In this paper, we propose the Probability Vector Enhanced Tumbleweed Optimization Algorithm (PVE-TOA), inspired by compact Particle Swarm Optimization (cPSO) and Wind-driven Optimization Algorithm (TOA), aiming to optimize the performance and spatial utilization of the TOA algorithm. Unlike the modifications that cPSO makes to the Particle Swarm Optimization algorithm, PVE-TOA introduces modifications to enhance the performance of TOA in specific optimization scenarios while retains the ability to reduce memory consumption.
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Copyright 2024 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore