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A multiple direction search algorithm for continuous optimization
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DOI：10.1016/j.swevo.2025.102138.png)
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Abstract
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• A multiple direction search algorithm is proposed for continuous optimization. • Analysis proves the weighted direction may yield faster convergence under conditions. • Experiments show the proposed algorithm outperforms seven PSO variants.
Keywords:
Continuous optimization
Evolutionary algorithm
Particle swarm optimization
Principal component analysis
Convergence rate
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