Numerical and Evolutionary Optimization 2019
A special issue of Mathematical and Computational Applications (ISSN 2297-8747). This special issue belongs to the section "Engineering".
Deadline for manuscript submissions: closed (29 February 2020) | Viewed by 18918
Special Issue Editors
Interests: modeling and control of nonlinear systems ;cooperation between mobile robots; control systems in greenhouses
Special Issues, Collections and Topics in MDPI journals
Interests: computer vision; statistical methods for recovery and shape recognition; facial analysis; shape-from-X techniques; autonomous vehicles; robot localization; deep learning
Interests: experimental algorithmics; metaheuristics; genetic algorithms; bin packing; machine learning; causal inference applications
Special Issues, Collections and Topics in MDPI journals
Interests: multi-objective optimization; evolutionary computation (genetic algorithms and evolution strategies); numerical analysis; engineering applications
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue will mainly consist of selected papers presented at the 7th International Workshop on Numerical and Evolutionary Optimization (NEO 2019, see http://neo.cinvestav.mx for detailed information). However, other works that fit within the scope of the NEO are welcome. Papers considered to fit the scope of the journal and to be of sufficient quality after evaluation by the reviewers will be published free of charge.
The aim of this Special Issue is to collect papers on the intersection of numerical and evolutionary optimization. We strongly encourage 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, this Special Issue aims to foster the understanding and adequate treatment of real-world problems, particularly in emerging fields that affect us all, such as healthcare, smart cities, and big data, among many others.
Topics of interest include (but are not limited to) the following:
(A) Robotics:
- Mobile robotics: wheels, drones, mobile manipulators, aquatic robots;
- Cooperative robots: manipulators, multivehicle systems indoors and outdoors;
- Service robots;
- Robots for medical applications;
- Robots in agricultural applications;
- Techniques to design robots;
- Control and planning algorithms.
(B) 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.
(C) Real-world problems:
- Health systems;
- Computer vision and pattern recognition;
- Energy conservation and prediction;
- Modeling and control of real-world systems;
- Smart cities.
Prof. Dr. America Morales
Prof. Dr. Mario Castelán
Dr. Marcela Quiroz
Prof. Dr. Oliver Schütze
Guest Editors
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