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Combinatorial weighted superposition attraction algorithm for solving multiple criteria decision-making problems
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DOI：10.1016/j.cie.2025.111364.png)
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Abstract
En 中文
• An improved permutation method for solving MCDM problems. • A novel parallel metaheuristic algorithm for larger size problems. • Comparative and statistical analyses for validation with examples. • A novel approach that can handle mixed data types (binary, fuzzy etc.).
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6.5
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1.0W
Citations:
3.8W
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