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Related Experiment Video

Updated: Sep 16, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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Multi-objective production scheduling optimization strategy based on fuzzy mathematics theory.

Heshuai Shen1

  • 1Zhengzhou Vocational College of Finance and Taxation, Zhengzhou, China.

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|July 10, 2025
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Summary
This summary is machine-generated.

Fuzzy mathematics enhances production scheduling by introducing new kernel allocation strategies. A hybrid algorithm significantly improves customer satisfaction and accelerates evolutionary equilibrium in scheduling.

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Area of Science:

  • Operations Research
  • Fuzzy Mathematics
  • Production Management

Background:

  • Multi-objective production scheduling presents challenges like conflicting objectives and uncertainty.
  • Traditional optimization algorithms struggle with complexity and ambiguity in scheduling.
  • Fuzzy mathematics offers a potential solution to improve scheduling efficiency and optimization.

Purpose of the Study:

  • To introduce and evaluate novel kernel allocation strategies for fuzzy mathematical scheduling.
  • To analyze the relationship between fuzzy mathematical scheduling solutions and kernel allocation.
  • To compare fuzzy scheduling with other existing scheduling approaches.

Main Methods:

  • Proposed proportional gain, weighted marginal, and average cost-saving kernel allocation methods.
  • Analysis of fuzzy mathematical scheduling solutions and their connection to kernel allocation.
  • Comparative study of fuzzy mathematical scheduling with other scheduling paradigms.

Main Results:

  • Fuzzy mathematics theory reached equilibrium in 22 generations with a maximum satisfaction of 2.345.
  • The proposed hybrid algorithm achieved equilibrium in just 3 generations.
  • The hybrid algorithm increased maximum customer satisfaction to 2.445.

Conclusions:

  • Novel kernel allocation strategies are effective for fuzzy mathematical scheduling.
  • A hybrid algorithm significantly enhances customer satisfaction and speeds up evolutionary equilibrium.
  • Fuzzy mathematics, particularly with hybrid approaches, offers a superior solution for complex production scheduling.