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10 optimizations on linear search
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Accelerating particle swarm optimization using crisscross search
This paper introduces a novel crisscross search particle swarm optimizer called CSPSO.The CSPSO algorithm has significant superiority over most of the other PSO variants in terms of solution accuracy and convergence rate.The swarm in CSPSO is directly ...
Linear-space best-first search: summary of results
AAAI'92: Proceedings of the tenth national conference on Artificial intelligenceBest-first search is a general search algorithm that always expands next a frontier node of lowest cost. Its applicability, however, is limited by its exponential memory requirement. Iterative deepening, a previous approach to this problem, does not ...
Effective optimizations of cluster-based nearest neighbor search in high-dimensional space
Nearest neighbor (NN) search in high-dimensional space plays a fundamental role in large-scale image retrieval. It seeks efficient indexing and search techniques, both of which are simultaneously essential for similarity search and semantic analysis. ...
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