Results 11 to 20 of about 1,970,865 (281)
An Enhanced Swap Sequence-Based Particle Swarm Optimization Algorithm to Solve TSP
IEEE Access, 2021 The Traveling Salesman Problem (TSP) is a combinatorial optimization problem that is useful in a number of applications. Since there is no known polynomial-time algorithm for solving large scale TSP, metaheuristic algorithms such as Ant Colony ...
Bibi Aamirah Shafaa Emambocus +4 more
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Sensors, 2022 For 5G and future Internet, in this paper, we propose a task allocation method for future Internet application to reduce the total latency in a mobile edge computing (MEC) platform with three types of servers: a dedicated MEC server, a shared MEC server,
Yukiko Katayama, Takuji Tachibana
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Influence of Economic Indices on the Solution to the Optimization Problem of the Age Structure of Power Plants Equipment [PDF]
Известия Иркутского государственного университета: Серия "Математика", 2018 In this study we consider an integral model of the large electric power system development. The model accounts for division of the generating equipment into certain age groups. Each of these groups is characterized by some efficiency coefficient.
A. S. Apartsyn +2 more
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The Effect of Blue Noise on the Optimization Ability of Hopfield Neural Network
Applied Sciences, 2023 Noise is ubiquitous in the real-world environment. At present, most scholars only include the stage of Gaussian white noise when applying noise in neural networks and regard white noise as a tool to optimize the network model, which is far from enough ...
Yu Zhang +5 more
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Oracle-Based Robust Optimization via Online Learning [PDF]
, 2014 Robust optimization is a common framework in optimization under uncertainty when the problem parameters are not known, but it is rather known that the parameters belong to some given uncertainty set.
Ben-Tal, Aharon +3 more
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A Mathematical Model of the Electrical Power Management Systems Using the Core Values in Cooperative Game [PDF]
Journal of Applied Sciences and NanotechnologyIn the context of game theory, cooperative game has been applied in several fields and can be successfully used to evaluate the players (people or companies) involved.
Mohammed Musa, Jabbar Abbas
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Coalitional Game Theory Based Value Sharing in Energy Communities
IEEE Access, 2021 This paper presents a coalitional game for value sharing in energy communities (ECs). It is proved that the game is super-additive, and the grand coalition effectively increases the global payoff. It is also proved that the model is balanced and thus, it
Amir Safdarian +4 more
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Profitable portfolio using fermatean fuzzy numbers [PDF]
Journal of Fuzzy Extension and ApplicationsStock portfolio problems are one of the most relevant real-world problems. In this study, we discuss the portfolio's risk amount, rate of risk-return, and expected return rate under a Fermatean fuzzy environment.
Amal Adak, Manish Gunjan
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IEEE Access, 2023 Hyperspectral remote sensing technology is a breakthrough technology that integrates imaging and spectral methods, but it also faces issues such as classification accuracy being controlled by dimensionality and spectral variability.
Xiping Yang, Lifang Cheng
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Energy efficiency optimization in MIMO interference channels: A successive pseudoconvex approximation approach [PDF]
, 2018 In this paper, we consider the (global and sum) energy efficiency optimization problem in downlink multi-input multi-output multi-cell systems, where all users suffer from multi-user interference.
Chatzinotas, Symeon +3 more
core +2 more sources