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An enhanced consensus-guided homotopy-inspired QPSO method for multimodal optimization problems
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DOI：10.1016/j.swevo.2026.102493.png)
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Abstract
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● Proposes CGQPSO, an enhanced consensus-guided homotopy-inspired QPSO variant. ● An ISODATA-based consensus framework replaces global guidance with local guides. ● A consensus-triggered local refinement mechanism improves solution accuracy. ● Homotopy-inspired guidance and bidirectional quantum sampling boost diversity. ● CGQPSO outperforms nine algorithms on about 80 % of CEC 2017 functions.
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