Symmetry-Breaking for Airflow Control Optimization of an Oscillating-Water-Column System

Global optimization problems are mostly solved using search methods. Therefore, decreasing the search space can increase the efficiency of their solving. A widely exploited technique to reduce the search space is symmetry-breaking, which helps impose constraints on breaking existing symmetries. The...

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Bibliographic Details
Published in:Symmetry (Basel) 2020-06, Vol.12 (6), p.895
Main Authors: M’zoughi, Fares, Garrido, Izaskun, Garrido, Aitor J.
Format: Article
Language:English
Subjects:
Air flow
airflow control
Algorithms
Alternative energy sources
Broken symmetry
Controllers
Efficiency
Electricity distribution
Energy industry
Global optimization
Optimization
oscillating water column (OWC)
Particle swarm optimization
power generation
R&D
Renewable resources
Research & development
Searching
stalling behavior
Symmetry
symmetry-breaking
Turbines
Water circulation
Wave power
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Summary:Global optimization problems are mostly solved using search methods. Therefore, decreasing the search space can increase the efficiency of their solving. A widely exploited technique to reduce the search space is symmetry-breaking, which helps impose constraints on breaking existing symmetries. The present article deals with the airflow control optimization problem in an oscillating-water-column using the Particle Swarm Optimization (PSO). In an effort to ameliorate the efficiency of the PSO search, a symmetry-breaking technique has been implemented. The results of optimization showed that shrinking the search space helped to reduce the search time and ameliorate the efficiency of the PSO algorithm.
ISSN:2073-8994
2073-8994
DOI:10.3390/sym12060895