Two-Phase Simulated Annealing for Equitable Team Formation: Eliminating Complaints in Large Engineering Cohorts
arXiv:2606.07270v2 Announce Type: replace Abstract: Contribution: This paper presents a novel two-phase algorithmic approach that decouples preference satisfaction from fairness optimization in student team formation, achieving both objectives without compromise. The method applies simulated annealing -- a core materials science technique -- to an educational challenge, demonstrating pedagogical integration of administrative processes. Background: Forming effective teams in large engineering coh
Record details
Published: 12 August 2026
Source: arXiv cs.CY
Category: Research
Topics: Bias & fairness · Children & education
Retrieved: 12 August 2026
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ethics.ai (12 August 2026), “Two-Phase Simulated Annealing for Equitable Team Formation: Eliminating Complaints in Large Engineering Cohorts,” evidence record 18371, https://ethics.ai/record/18371 (originally published by arXiv cs.CY).
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