Numerical and Evolutionary Optimization 2024

Dear Colleagues,

This Special Issue will mainly consist of selected papers presented at the 11th International Workshop on Numerical and Evolutionary Optimization (NEO 2024; see http://neo.cinvestav.mx for detailed information). However, other works that fit within the scope of the NEO are also 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 an 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) Search and optimization:

• Single- and multi-objective optimization;
• Mathematical programming techniques;
• Evolutionary algorithms;
• 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.

Dr. Marcela Quiroz-Castellanos
Dr. Oliver Cuate
Dr. Leonardo Trujillo
Prof. Dr. Oliver Schütze
Guest Editors

Manuscript Submission Information

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