Improving Particle Swarm Optimization Based on Neighborhood and Historical Memory for Training Multi-Layer Perceptron
Many optimization problems can be found in scientific and engineering fields. It is a challenge for researchers to design efficient algorithms to solve these optimization problems. The Particle swarm optimization (PSO) algorithm, which is inspired by the social behavior of bird flocks, is a global s...
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-01-01
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| Series: | Information |
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| Online Access: | http://www.mdpi.com/2078-2489/9/1/16 |