Energy Consumption Analysis of Batch Runs of Evolutionary Algorithms

2024/07/14 by Carlos Cotta, Jesús Martínez‐Cruz · 1 voice · 1 citation
Computer Science · #Advanced Multi-Objective Optimization Algorithms #Evolutionary Algorithms and Applications #Metaheuristic Optimization Algorithms Research

paper · doi:10.1145/3638530.3664093

openalex publication_date 2024/07/14 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/29

Abstract

We analyze the energy consumption of running evolutionary algorithms in batch as a function of the rest time between runs. It is shown that energy consumption can be reduced by 5%-8% by inserting short pauses between runs to reduce hysteretic phenomena.

Citations

• Green AI

Cited by

• Evaluating the Impact of Hysteretic Phenomena and Implementation Choices on Energy Consumption in Evolutionary Algorithms

Discussions

• C. Cotta @ccottap.bsky.social, J. Martínez-Cruz, Energy Consumption Analysis of Batch Runs of Evolutionary Algorithms, GECCO '24 Companion: Genetic and Evolutionary Computation Conference Companion Pr [bsky, 1 points, 1 comments]

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