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Posts tagged #Bio4Res on Bluesky
Bio4Res at GECCO 2025 – Bio4Res The work is entitled «Resilience of Evolutionary Algorithms to Aggressive Compilation Optimization«, has been conducted by C. Cotta and J. Martínez-Cruz, and the abstract follows:

The Bio4Res crew was totally there for GECCO 2025! 🙌 #GECCO2025 #Bio4Res

caesium.lcc.uma.es/Bio4Res/bio4...

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GECCO 2025: A Scientific Success in Málaga – Bio4Res GECCO 2025, the Genetic and Evolutionary Computation Conference, was successfully convened in Málaga from July 14th to 18th. This event, held under the auspices of SIGEVO, the Special Interest Group on Evolutionary Computation of the ACM, consistently maintains its position among leading global conferences in evolutionary computation, recognized for its high-quality papers, rigorous research, and scientific impact. For these five days, Málaga effectively served as the world-wide epicenter of evolutionary computation.

GECCO 2025: A Scientific Success in Málaga
#Bio4Res #GECCO2025

caesium.lcc.uma.es/Bio4Res/gecc...

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Bio4Res at EvoStar 2025 – Bio4Res The Bio4Res project made their presence felt at the conference with the presentation of the paper entitled «Evaluating the Impact of Hysteretic Phenomena and Implementation Choices on Energy Consumption in Evolutionary Algorithms» by C. Cotta and J. Martínez-Cruz, whose abstract follows:

We were at EvoStar 2025 presenting #Bio4Res research on hysteretic phenomena in energy consumption when using EAs,
caesium.lcc.uma.es/Bio4Res/bio4...
#ResearchPaper #EnergyConsumption #EvolutionaryAlgorithms #GreenAI #Sustainability

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I just presented our #Bio4Res work on the compiler impact on the energy consumption of EAs at the #MAEB2025 conference.

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

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

I just presented our work on hysteretic energy consumption in evolutionary algorithms at the EvoStar conference. Great attendance and many interesting questions! The paper is available at doi.org/10.1007/978-...
@caesium-research.bsky.social #Bio4Res

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Data instances for the Aircraft Landing Scheduling Problem This dataset comprises instances for the Aircraft Landing Scheduling Problem Hosted on the Open Science Framework

The data instances used in the experiments are also available in the @cos.io Open Science Framework at doi.org/10.17605/OSF...
#Bio4Res #OpenScience

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The code used in the experimentation on the Aircraft Landing Scheduling Problem is available at github.com/Bio4Res/airc...
#Bio4Res #OpenScience

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Harnessing memetic algorithms: a practical guide

Harnessing memetic algorithms: a practical guide

Our paper "Harnessing memetic algorithms: a practical guide" is now available with open access in @springer1842.bsky.social TOP journal. Check it out at doi.org/10.1007/s117...
#Bio4Res #ResearchPaper

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Energy Consumption Analysis of Batch Runs of Evolutionary Algorithms

Energy Consumption Analysis of Batch Runs of Evolutionary Algorithms

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 Proceedings, pp. 87-88, ACM, New York, NY, USA, 2024
doi.org/10.1145/3638...
#ResearchPaper #Bio4Res

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Tackling Adversarial Faults in Panmictic Evolutionary Algorithms

Tackling Adversarial Faults in Panmictic Evolutionary Algorithms

C. Cotta @ccottap.bsky.social, Tackling Adversarial Faults in Panmictic Evolutionary Algorithms, GECCO '23 Companion: Genetic and Evolutionary Computation Conference Companion Proceedings, pp. 59-60, ACM, New York, NY, USA, 2023
doi.org/10.1145/3583...
#ResearchPaper #Bio4Res

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Epoch-Based Application of Problem-Aware Operators in a Multiobjective Memetic Algorithm for Portfolio Optimization

Epoch-Based Application of Problem-Aware Operators in a Multiobjective Memetic Algorithm for Portfolio Optimization

F. Colomine, C. Cotta, A.J. Fernández-Leiva, Epoch-Based Application of Problem-Aware Operators in a Multiobjective Memetic Algorithm for Portfolio Optimization, EvoApplications 2023, LNCS 13989:210-222, Springer, Cham
doi.org/10.1007/978-...
#ResearchPaper #Bio4Res

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Navigating the Aisles: Evolutionary Algorithms for Supermarket Evacuation Planning

Navigating the Aisles: Evolutionary Algorithms for Supermarket Evacuation Planning

C. Cotta @ccottap.bsky.social, Navigating the Aisles: Evolutionary Algorithms for Supermarket Evacuation Planning, GECCO '24 Companion, pp. 89-90, ACM, New York, NY, 2024
doi.org/10.1145/3638...
#ResearchPaper #Bio4Res

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Enhancing Evolutionary Optimization Performance under Byzantine Fault Conditions

Enhancing Evolutionary Optimization Performance under Byzantine Fault Conditions

C. Cotta @ccottap.bsky.social, Enhancing Evolutionary Optimization Performance under Byzantine Fault Conditions, Hybrid Artificial Intelligent Systems. HAIS 2023, García Bringas, P. et al. (eds.), pp. 341–351, LNCS 14001, Springer, Cham, 2023
doi.org/10.1007/978-...
#ResearchPaper #Bio4Res

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Optimization-Driven Workplace Evacuation using Evolutionary Algorithms and Derivative-Free Methods

Optimization-Driven Workplace Evacuation using Evolutionary Algorithms and Derivative-Free Methods

C. Cotta @ccottap.bsky.social, Optimization-Driven Workplace Evacuation using Evolutionary Algorithms and Derivative-Free Methods, 8th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence, pp. 86-91, ACM, Singapore, 2024
doi.org/10.1145/3665...
#ResearchPaper #Bio4Res

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Resilient Bioinspired Algorithms: A Computer System Design Perspective

Resilient Bioinspired Algorithms: A Computer System Design Perspective

C. Cotta @ccottap.bsky.social, G. Olague @gustavo-olague.bsky.social, Resilient Bioinspired Algorithms: A Computer System Design Perspective, Applications of Evolutionary Computation - EvoApplications 2022, LNCS 13224, pp. 619-631, Springer, Cham, 2022
doi.org/10.1007/978-...
#ResearchPaper #Bio4Res

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Using an Agent-Based Cellular Automaton for Emergency Evacuation Simulation

Using an Agent-Based Cellular Automaton for Emergency Evacuation Simulation

D. Bueno, C. Cotta, J.E. Gallardo, Using an Agent-Based Cellular Automaton for Emergency Evacuation Simulation, Practical Applications of Agents and Multi-Agent Systems, P. Mathieu and F. De la Prieta (eds.), pp. 324-329, LNCS 15157, Springer, 2024
doi.org/10.1007/978-...
#ResearchPaper #Bio4Res

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