Population size influence on the energy consumption of genetic programming
J Díaz-Álvarez, PA Castillo… - Measurement and …, 2022 - journals.sagepub.com
Evolutionary Algorithms (EAs) are routinely applied to solve a large set of optimization
problems. Traditionally, their performance in solving those problems is analyzed using the …
problems. Traditionally, their performance in solving those problems is analyzed using the …
Looking for energy efficient genetic algorithms
F Fernández de Vega, J Díaz, JÁ García… - … Conference on Artificial …, 2019 - Springer
Abstract When Evolutionary Algorithms (EAs) are applied to optimization problems, two main
measures are taken into account to understand their performance: fitness quality and …
measures are taken into account to understand their performance: fitness quality and …
Resilient bioinspired algorithms: a computer system design perspective
Resilience can be defined as a system's capability for returning to normal operation after
having suffered a disruption. This notion is of the foremost interest in many areas, in …
having suffered a disruption. This notion is of the foremost interest in many areas, in …
[PDF][PDF] Impacto Ambiental de la Experimentacion con Metaheurısticas: Un Análisis Coste-Beneficio
P Novoa-Hernández, DA Pelta - researchgate.net
Este trabajo tiene por objetivo analizar el impacto medioambiental (huella de carbono) que
produce la ejecución de metaheurısticas. Mediante la simulación de un escenario tıpico en …
produce la ejecución de metaheurısticas. Mediante la simulación de un escenario tıpico en …
[PDF][PDF] In the Quest for Energy Efficient Genetic Algorithms
Although usually quality of solutions and running time are the main features of algorithms,
recently a new trend in computer science tries to contextualize these features under a new …
recently a new trend in computer science tries to contextualize these features under a new …