標(biāo)題: Titlebook: Applying Particle Swarm Optimization; New Solutions and Ca Burcu Ad?güzel Mercang?z Book 2021 The Editor(s) (if applicable) and The Author( [打印本頁] 作者: ALOOF 時間: 2025-3-21 18:45
書目名稱Applying Particle Swarm Optimization影響因子(影響力)
作者: 觀點 時間: 2025-3-21 22:13
Portfolio Optimizatione different optimization techniques for creating an optimum portfolio depending on the risk and return variable. Particle swarm optimization (PSO) method is one of the important and useful techniques used in portfolio optimization in finance. In this chapter, Markowitz mean-variance model, which is 作者: phase-2-enzyme 時間: 2025-3-22 00:59 作者: Confirm 時間: 2025-3-22 08:26
A Comparative Study on PSO with Other Metaheuristic Methodsused in many engineering applications such as optimization of engineering problems, telecommunications, information security, and image processing. Many metaheuristic algorithms such as particle swarm optimization (PSO), ant colony optimization (ACO), and genetic algorithm (GA) are recently becoming作者: 諷刺 時間: 2025-3-22 09:16
Mathematical Model of Particle Swarm Optimization: Numerical Optimization Problemscan be implemented and its simple approach. It is a multi-agent parallel search metaheuristic technique aimed at global optimization for numerical optimization problems. It has roots in artificial life techniques like swarm intelligence, fish schooling, etc. This chapter aims to introduce the mathem作者: 盡管 時間: 2025-3-22 16:36 作者: projectile 時間: 2025-3-22 18:04 作者: exigent 時間: 2025-3-22 21:25 作者: 疾馳 時間: 2025-3-23 02:19 作者: Contort 時間: 2025-3-23 07:36 作者: hysterectomy 時間: 2025-3-23 10:32 作者: syring 時間: 2025-3-23 14:47 作者: bonnet 時間: 2025-3-23 19:09 作者: Flu表流動 時間: 2025-3-23 22:53
Constriction Coefficient-Based Particle Swarm Optimization and Gravitational Search Algorithm for Im on pixel intensities. In this work, a new image segmentation method has been introduced based on the constriction coefficient-based particle swarm optimization and gravitational search algorithm (CPSOGSA). The random samples of the image histogram act as searcher agents of the CPSOGSA. Besides, the作者: precede 時間: 2025-3-24 03:21
An Overview of the Performance of PSO Algorithm in Renewable Energy Systemss and problems. Among the most important challenges is finding the smart technologies and algorithms which are capable of achieving efficient solutions. This chapter provides an expanded view of the uses of the particle swarm optimization (PSO) algorithm in the renewable energy systems field. Additi作者: Entreaty 時間: 2025-3-24 07:48
Application of PSO in Distribution Power Systems: Operation and Planning Optimizationcreasingly highly complex system. The liberalization of the energy market and the introduction of distributed generation and, in particular, distributed renewable energy resources (DRES) have raised both opportunities and challenges that need to be tackled. Thus, complex issues related to the operat作者: resilience 時間: 2025-3-24 13:53
Utility: Theories and Modelsrg paradoxes criticize expected utility theory. Tversky and Kahneman (Econometrica, 47: 263–291, 1979) present that the expected utility axioms are violated for more reasonable lottery alternatives than in the Allais paradox and put a link between finance and psychology. The prospect theory of Tvers作者: hair-bulb 時間: 2025-3-24 18:16
Behavioral Portfolio Theoryl 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.作者: 調(diào)味品 時間: 2025-3-24 21:57
A Comparative Study on PSO with Other Metaheuristic MethodsO), artificial bee colony (ABC) algorithm, particle swarm optimization (PSO), tabu search (TS), harmony search (HS), firefly algorithm (FF), cuckoo search (CS), bat-inspired algorithm (BA), water wave optimization (WWO), clonal selection algorithm (CLONALG), chemical reaction optimization (CRO), sin作者: Bucket 時間: 2025-3-25 00:00
The PSO Family: Application to the Portfolio Optimization Problemoney of having sold it. This mathematical situation is known as a Pareto front, which aims to show the boundary of the nonlinear equivalence region of the corresponding decision problem. In this chapter, we introduce the concept of uncertainty in high-dimensional problems, proposing the particle swa作者: 高度贊揚 時間: 2025-3-25 05:14
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作者: 舞蹈編排 時間: 2025-3-25 10:42 作者: figurine 時間: 2025-3-25 12:00
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作者: Resection 時間: 2025-3-25 17:09 作者: blister 時間: 2025-3-25 20:14
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作者: 擋泥板 時間: 2025-3-26 02:26 作者: Common-Migraine 時間: 2025-3-26 06:00 作者: habitat 時間: 2025-3-26 08:39 作者: AGATE 時間: 2025-3-26 15:50
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.作者: Mortar 時間: 2025-3-26 17:57 作者: 流眼淚 時間: 2025-3-26 23:25
Venture Capital and Contracting,oney of having sold it. This mathematical situation is known as a Pareto front, which aims to show the boundary of the nonlinear equivalence region of the corresponding decision problem. In this chapter, we introduce the concept of uncertainty in high-dimensional problems, proposing the particle swa作者: Unsaturated-Fat 時間: 2025-3-27 04:55
Wealth Gap and Social Development,at 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作者: 吼叫 時間: 2025-3-27 06:37 作者: 暫停,間歇 時間: 2025-3-27 11:42 作者: Negligible 時間: 2025-3-27 14:19 作者: 避開 時間: 2025-3-27 19:43 作者: Factorable 時間: 2025-3-27 23:22 作者: 散開 時間: 2025-3-28 03:39 作者: NATTY 時間: 2025-3-28 08:18
Burcu Ad?güzel Mercang?zFirst book-length treatment of portfolio optimization using particle swarm optimization (PSO).Explains PSO in detail and shows how to apply it.Applies PSO to portfolio optimization problems in a range作者: ARY 時間: 2025-3-28 13:32
International Series in Operations Research & Management Sciencehttp://image.papertrans.cn/b/image/160253.jpg作者: 性學(xué)院 時間: 2025-3-28 17:48 作者: 討厭 時間: 2025-3-28 21:02
Venture Capital and Contracting,e different optimization techniques for creating an optimum portfolio depending on the risk and return variable. Particle swarm optimization (PSO) method is one of the important and useful techniques used in portfolio optimization in finance. In this chapter, Markowitz mean-variance model, which is 作者: insurrection 時間: 2025-3-28 23:53 作者: 被詛咒的人 時間: 2025-3-29 06:06 作者: Exposure 時間: 2025-3-29 09:14 作者: 新陳代謝 時間: 2025-3-29 14:55 作者: 記成螞蟻 時間: 2025-3-29 15:45
Venture Capital and Contracting,t disconnected valleys of the cost function landscape with similar values. This situation generates uncertainty in the identification of the optimum model parameters that should be translated to the decision that has to be made. Therefore, the analysis of the uncertainty space of this type of proble作者: Licentious 時間: 2025-3-29 19:57 作者: Cirrhosis 時間: 2025-3-30 03:55
Wealth Gap and Social Development,thm is an optimization algorithm which depends on natural events. The algorithms are simple and easy to implement for the researcher. The portfolio optimization is a process to find a solution to select the most appropriate combination between all financial assets under certain expectations and cons作者: Flu表流動 時間: 2025-3-30 06:01 作者: 過濾 時間: 2025-3-30 10:08
T2S: Creating a New Post-trade Landscapearge number of applications of PSO. “Applications of PSO” chapter tries to present a classified literature review for the applications of PSO in different fields. The applications are classified into different sections based on the area of implementation..The chapter also presents a table with refer作者: jaundiced 時間: 2025-3-30 15:32 作者: 離開就切除 時間: 2025-3-30 20:14 作者: 辯論的終結(jié) 時間: 2025-3-30 20:50 作者: BULLY 時間: 2025-3-31 03:42
https://doi.org/10.1007/978-3-7908-1934-2s and problems. Among the most important challenges is finding the smart technologies and algorithms which are capable of achieving efficient solutions. This chapter provides an expanded view of the uses of the particle swarm optimization (PSO) algorithm in the renewable energy systems field. Additi作者: 香料 時間: 2025-3-31 07:21 作者: 交響樂 時間: 2025-3-31 12:02
https://doi.org/10.1007/978-3-030-70281-6Portfolio Optimization; Swarm Intelligence; Heuristic Algorithms; Markowitz Mean-Variance Model; Evoluti作者: 誰在削木頭 時間: 2025-3-31 13:47 作者: 旁觀者 時間: 2025-3-31 21:19 作者: 首創(chuàng)精神 時間: 2025-4-1 00:46 作者: 時代 時間: 2025-4-1 05:43
Particle Swarm Optimization: The Foundationantages, and applied areas of PSO. Later, the basic PSO procedure and its parameter selection mechanisms are presented. The chapter also presents three popular applications of PSO in finance, including portfolio optimization. Finally, the chapter ends by introducing the existing PSO variants to solve the portfolio optimization problem.作者: ABOUT 時間: 2025-4-1 08:01
Different Applications of PSOences to multiple other applications over and above those covered in the chapter. References of some largely cited review papers dealing with the applications of PSO are also mentioned at the end of the chapter.作者: 引起 時間: 2025-4-1 10:37 作者: incarcerate 時間: 2025-4-1 17:22
Exchanges: Link to the Real Economyations were used to explain the changes in position of the particles with respect to the environment and obstacles. Consequently, the experiments are conducted on a simulated robot, and the visualizations demonstrated the feasibility of the technique to solve global path planning problem.
