Critical Comparison of Multi-objective Optimization Methods: Genetic Algorithms versus Swarm Intelligence

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Date
2010-09
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Mark
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Společnost pro radioelektronické inženýrství
Abstract
The paper deals with efficiency comparison of two global evolutionary optimization methods implemented in MATLAB. Attention is turned to an elitist Non-dominated Sorting Genetic Algorithm (NSGA-II) and a novel multi-objective Particle Swarm Optimization (PSO). The performance of optimizers is compared on three different test functions and on a cavity resonator synthesis. The microwave resonator is modeled using the Finite Element Method (FEM). The hit rate and the quality of the Pareto front distribution are classified.
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Citation
Radioengineering. 2010, vol. 19, č. 3, s. 369-377. ISSN 1210-2512
http://www.radioeng.cz/fulltexts/2010/10_03_369_377.pdf
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Peer-reviewed
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en
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Creative Commons Attribution 3.0 Unported License
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