Work

Evo* 2022 -- Late-Breaking Abstracts Volume

Year: 2022

Type: preprint

Abstract: Volume with the Late-Breaking Abstracts submitted to the Evo* 2022 Conference, held in Madrid (Spain), from 20 to 22 of April. These papers present ongoing research and preliminary results investigating on the application of different approaches of Bioinspired Methods (mainly Evolutionary Computation) to different problems, most of them real world ones.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2208.00555

Authors: Mora, A. M., Esparcia-Alcázar, A. I.

Language: English

Topic: Metaheuristic Optimization Algorithms Research

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: Universidad de Málaga, Carnegie Mellon Portugal, Leverhulme Trust, Norges Forskningsråd, Fundação para a Ciência e a Tecnologia

Awards: G1036288581, G1433220682, Programação Consciente de Recursos, LASIGE - Extreme Computing, LASIGE - Extreme Computing, G3838636553, G4112963361, G4978813003, Automated Resource Analysis, G5736792195, G6319620625

OpenAlex ID: W4287778331

Cites:

Cited by:

Related to: 10