Special Issue "Numerical and Evolutionary Optimization"
Deadline for manuscript submissions: 31 December 2018
Dr. Adriana Lara
Instituto Politécnico Nacional ESFM-IPN, 07730 Mexico City, Mexico
Interests: multi-objective optimization; optimization; evolutionary computation; mathematical programming; memetic algorithms
Dr. Marcela Quiroz
Centro de Investigación en Inteligencia Artificial, University of Veracruz, 91000 Xalapa, Mexico
Interests: experimental algorithmics; metaheuristics; genetic algorithms; bin packing; machine learning; causal inference applications
The development of powerful search and optimization techniques is of great importance in science and engineering, particularly in today's world, which requires researchers and practitioners to tackle a variety of challenging real-world problems as technology becomes an ever-more-important aspect of everyday life. There are two well-established and widely-known fields that are addressing these issues: (i) traditional numerical optimization techniques and (ii) comparatively recent bio-inspired heuristics, such as evolutionary algorithms and genetic programming. Both of these fields have developed approaches with their unique strengths and weaknesses, allowing them to solve some challenging problems while sometimes failing in others.
Recent studies have shown that the consideration of elements coming from both fields can lead to great synergies, e.g., in understanding of certain algorithms or in the design of new search techniques.
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 fosters the understanding and adequate treatment of real-world problems, particularly in emerging fields that affect us all, such as health care, smart cities, and big data, among many others.
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:
- Health systems
- Computer vision and pattern recognition
- Energy conservation and prediction
- Modeling and control of real-world systems
- Smart cities
Dr. Adriana Lara
Dr. Marcela Quiroz
Dr. Efrén Mezura-Montes
Prof. Dr. Oliver Schütze
Manuscript Submission Information
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