Energy-aware metaheuristics use an EI/J score to dynamically pick operators that maximize fitness gain per unit energy, reaching comparable fitness with substantially less energy than standard versions on knapsack, NK-landscapes, and error-correcting code problems.
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A baseline survey of 77 users and a 5-day field study with 11 participants found that sustainability UI interventions increased selection of energy-efficient chatbot modes to 55.8% of prompts.
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Energy-Aware Metaheuristics
Energy-aware metaheuristics use an EI/J score to dynamically pick operators that maximize fitness gain per unit energy, reaching comparable fitness with substantially less energy than standard versions on knapsack, NK-landscapes, and error-correcting code problems.
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From Perception to Action: Can UI Interventions Foster Sustainable LLM Chatbot
A baseline survey of 77 users and a 5-day field study with 11 participants found that sustainability UI interventions increased selection of energy-efficient chatbot modes to 55.8% of prompts.