NEO 2021: Numerical and Evolutionary Optimization Workshop 2021 Online CDMX, Mexico, September 9-10, 2021 |
Conference website | https://neo.cinvestav.mx/NEO2021/ |
Submission link | https://easychair.org/conferences/?conf=neo2021 |
Abstract registration deadline | August 4, 2021 |
Submission deadline | August 4, 2021 |
Welcome to NEO 2021
The Numerical and Evolutionary (NEO) workshop fucuses on the interchange betweeen classical mathematical optimization techniques, highlighting their strenghts and looking for ways to merge their paradigms to overcome their weaknesses, particular for the treatment of relevant real-world problems. The event includes keynote talks by highly respected researchers in their fields, special sessions on particular areas of interest, and a related publication of extended versions of the presented talks. The core event will be held on September 09 and 10. On September 08 we will hold the Research Experience Day that targets at prospective undergraduate students who are interested in starting their academic career in optimization, however, all attendees of the NEO 21 are more than welcome to join.
Submission Guidelines
NEO invites researchers to present their work, encouraging original contributions but also accepting presentations of previously published works that fit to the scope of the event.
NEO will accept short abstracts that will appear in the book of abstracts of the event. Further, there is the opportunity to submit extended and other work related to the NEO to the special issue that will be published in the journal Mathematical and Computational Applications (see below for the link to submit full papers).
List of Topics
The goal of the Numerical and Evolutionary Optimization (NEO) workshop series is to bring together people from all optimization fields to discuss, compare and merge their complimentary perspectives. NEO encourages the development of fast and reliable hybrid methods that maximize the strengths and minimize the weaknesses of each underlying paradigm, while also being applicable to a broader class of problems. Moreover, NEO fosters the understanding and adequate treatment of real-world problems, particularly in emerging technologies that affect us.
Topics of interest include (but are not limited to):
A) Search and Optimization:
- Single- and multi-objective optimization
- Advances in evolutionary algorithms and genetic programming
- Hybrid and memetic algorithms
- Set oriented numerics
- Stochastic optimization
- Robust optimization
B) Real World Problems:
- Optimization, Machine Learning and Metaheuristics applied to:
- Energy production and consumption
- Health monitoring systems
- Computer vision and pattern recognition
- Energy optimization and prediction
- Modeling and control of real-world energy systems
- Smart cities
Publication
Accepted abstract submissions, made by easychair, will appear in the NEO 2021 Book of Abstracts.
Extended versions will be evaluated to appear in the journal Mathematical and Computational Applications (MDPI); please use the particular link in the NEO 2021 website to submit a full-length paper.
Committees
General Chairs
- Marcela Quiroz, Universidad Veracruzana, México
- Luis Gerardo de la Fraga, Cinvestav-IPN, Mexico City, Mexico
Publication Chair
- Adriana Lara, ESFM - IPN, Mexico City
Publicity Chair
- Marcela Quiroz, Universidad Veracruzana, Méxicos
Students Chair
- Juan Gabriel Ruiz Ruiz, Universidad de la Sierra Juárez, Oaxaca, México
Series Chairs
- Oliver Schuetze, Cinvestav-IPN, Mexico
- Leonardo Trujillo, Instituto Tecnológico de Tijuana, México
Contact
All questions about submissions should be emailed to neo21@cs.cinvestav.mx