Titlebook: Applying Particle Swarm Optimization; New Solutions and Ca Burcu Adıgüzel Mercangöz Book 2021 The Editor(s) (if applicable) and The Author(

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A Constrained Portfolio Selection Model Solved by Particle Swarm Optimization Under Different Risk Mat risk (CVaR) performs better than the other two risk measures, including semivariance and variance. However, from the diversification perspective, the model with the variance risk measure produces a more diversified portfolio compared to the other two risk measures, although the differences are tr

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Training Multi-layer Perceptron Using Hybridization of Chaotic Gravitational Search Algorithm and Pa rank-sum test has also been conducted for statistical verification of simulation results. In addition, the numerical outcomes of CGSAPSO are also compared with standard GSA, PSO, and hybrid PSOGSA. The experimental results indicate that CGSAPSO provides better results in the form of recognition acc

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An Overview of the Performance of PSO Algorithm in Renewable Energy Systemslopment of the PSO algorithm. In contrast, other researchers tried to hybridize it with different algorithms to be more efficient and convenient to overcome some of the problems and challenges that they encountered. The renewable energy systems have several issues to discuss, such as the cost of inv

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https://doi.org/10.1007/978-3-8350-9188-7l explanation of the idea of diversifying investments and is the cornerstone of many risk models developed such as capital asset pricing model and arbitrage pricing model in later years. The empirical studies reveal that investors do not act rationally as financial models assume and anomalies occur.

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