Special Issue "Bioinspired Computation for Sustainable Energy Systems"
Deadline for manuscript submissions: closed (1 December 2021) | Viewed by 6192
Interests: bioinspired optimization; combinatorial optimization; artificial intelligence; metaheuristics; swarm intelligence
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Bioinspired computation has arisen as one of the most studied and quickly-growing topics in artificial intelligence. Some of the main influences behind the conception of this topic are the well-known Genetic Algorithm and the Ant Colony Optimization and Particle Swarm Optimization algorithms. These methods, and many similar ones, lit the fuse of the success of this area of knowledge, serving as the origin and principal inspiration of their subsequent research. This success has led to the proposal of additional novel algorithms, inspired by different sources such as the behavioral patterns of animals, social and political behaviors or physical processes. The proposal of new solvers evidences the capability of this type of algorithms to reach a near-optimal performance over a wide range of academic and real-world problems.
In the context of sustainable energy systems, the high increase of energy demand in the last century has led to a development of new renewable and sustainable energy sources, such as solar photovoltaic, wind, biomass, and geothermal energy, among others. In order to enhance the performance of these systems, modeling and optimization techniques have arisen to provide efficient solutions for optimal energy production, planning, storage, distribution, etc. In this regard, bioinspired computation tecniques are considered as a key enabling technology for coping with the above-mentioned challenges.
This Special Issue aims at disseminating the latest findings and research achievements in the areas of bioinspired optimization and sustainable energy systems, with the intention to balance between theoretical research ideas and their practicability as well as industrial applicability. To this end, scholars and practitioners from academia and industrial fields are invited to submit high-quality original contributions to this Special Issue.
Dr. Eneko Osaba
Dr. Diana Manjarres
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Bioinspired computation
- Optimization of energy systems
- Energy storage optimization
- Optimization modeling of energy systems planning
- Model-based decision support tools in sustainable energy