Optimization of Resources
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E1: Mathematics and Computer Science".
Deadline for manuscript submissions: closed (30 June 2021) | Viewed by 7385
Special Issue Editor
Special Issue Information
Dear Colleagues,
The optimization of resources is a key matter in computer science due to the necessity to improve the efficiency of mechanisms depending on these resources. Regardless of whether this optimization is the ultimate goal itself or it is instrumental to achieve other objectives, it is a recurrent problem appearing both inside the computer science domain and in other fields aided by computational techniques, such as other sciences, engineering, and economics. Unfortunately, in many cases finding the optimal solution is not feasible in general due to the hardness of the problem. In fact, even finding good approximations can also be a challenge. Despite these well-known theoretical limits, resource optimization problems appear whenever there is a sophisticated system, and we have to face them by using non-exhaustive methods. These methods can be specific to the concrete problem or adaptations of generic-purpose metaheuristics (e.g., evolutionary computation or swarm optimization methods).
The goal of this Special Issue is to collect new proposals in the area of optimization of resources, including both theoretical approaches and practical applications. We solicit contributions related (but not limited) to the following topics:
- Formal methods applied to the optimization of resources;
- Definition and application of optimization algorithms and metaheuristics;
- Comparison of optimization algorithms and metaheuristics in concrete case studies;
- Optimization of resources on industrial data;
- Benchmark usage and generation.
Prof. Dr. Fernando Rubio
Guest Editor
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Keywords
- Distribution of computational resources
- Computer-aided optimization of resources in science, engineering, and economics
- Formal methods in optimization
- Metaheuristics
- Nature-inspired methods for optimization
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