Results 21 to 30 of about 616,628 (303)
Stock Portfolio-Optimization Model by Mean-Semi-Variance Approach Using of Firefly Algorithm and Imperialist Competitive Algorithm [PDF]
International Journal of Business and Development Studies, 2018 Selecting approaches with appropriate accuracy and suitable speed for the purpose of making decision is one of the managers’ challenges. Also investing decision is one of the main decisions of managers and it can be referred to securities transaction in ...
Hassan Heidari, Laya Neshatizadeh
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Advances in Mechanical Engineering, 2018 A hierarchical optimization strategy is proposed to optimally design constrained layer damping materials patched on the base plate for minimizing sound radiation power.
Dongdong Zhang, Tang Qi, Ling Zheng
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New Initial Parameter for the Constrained Optimization Method [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2006 In this paper, we have investigated a new initial parameter in the nonlinear constrained optimization method. The aim of this new method is to make a balance between interior and exterior method for constrained optimization.
Abbas Al-Bayati, Ban Mitras
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Convex Duality in Constrained Portfolio Optimization [PDF]
, 1992 We study the stochastic control problem of maximizing expected utility from terminal wealth and/or consumption, when the portfolio is constrained to take values in a given closed, convex subset of R^d.
Cvitanić, Jakša, Karatzas, Ioannis
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Investigated Non-Conic Model for Constrained Optimization [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2008 In this search, we develop the nonlinear constrained optimization by investigation a new region of solution depending on extended conic model to non-conic model by using conjugate gradient method. The new method is too effective when compared with other
Eman Al-Haj Saeed, Huda Ahmed
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Easy Particle Swarm Optimization for Nonlinear Constrained Optimization Problems
IEEE Access, 2021 Particle swarm optimization (PSO) is a popular stochastic approach for solving practical optimal problems from industries due to its effective performance and few hyperparameters.
Hsuan-Yu Tseng +3 more
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Uncertainty Analysis for Data-Driven Chance-Constrained Optimization [PDF]
, 2020 In this contribution our developed framework for data-driven chance-constrained optimization is extended with an uncertainty analysis module. The module quantifies uncertainty in output variables of rigorous simulations.
Esche, Erik +3 more
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Self-Scaling Variable Metric in Constrained Optimization [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2020 In this paper, we investigated of a new self-scaling by use quasi-Newton method and conjugate gradient method. The new algorithm satisfies a quasi-newton condition and mutually conjugate, and practically proved its efficiency when compared with the well ...
Eman Hamed, Marwa Hamad
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Design of High-Performance Magnetorquer with Air Core for CubeSat [PDF]
Xibei Gongye Daxue Xuebao, 2018 To solve the problem that how to design a big magnetic moment, small size, light weight, low power consumption magnetorquer with air core under the constraint of limited volume and power in CubSate, multiobjective optimization design method is used ...
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Energy Reports, 2022 This paper investigates energy management systems in micro-grid using an optimization-based approach, optimizing the operating cost related to the energy purchased from the utility grid, the operation cost of the energy storage system, and revenue from ...
Peter Anuoluwapo Gbadega, Yanxia Sun
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