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Frontiers in Educational Research, 2026, 9(2); doi: 10.25236/FER.2026.090205.

Algorithms for Social Good: Integrating Ethical Values into Combinatorial Optimization through Food Delivery Scheduling

Author(s)

Xiao Zhao1, Yizhen Mao1

Corresponding Author:
Yizhen Mao
Affiliation(s)

1School of Mathematics and Statistics, Henan Normal University, Xinxiang, 453007, China

Abstract

This paper takes the combinatorial optimization problem in food delivery as an example to conduct a case study on the ideological and political education in the "Combinatorial Optimization" course. By analyzing the food delivery scheduling problem, it enables students to understand the evolution of platform algorithms from "efficiency first" to "multi-party balance" through in-depth analysis, and comprehend the humanistic care and social responsibility behind it, thereby cultivating their systematic thinking and patriotic sentiments.

Keywords

Combination Optimization, Ideological and Political Teaching, System thinking

Cite This Paper

Xiao Zhao, Yizhen Mao. Algorithms for Social Good: Integrating Ethical Values into Combinatorial Optimization through Food Delivery Scheduling. Frontiers in Educational Research (2026), Vol. 9, Issue 2: 31-36. https://doi.org/10.25236/FER.2026.090205.

References

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