Suchergebnisse - Game Theory, Optimization Algorithms

Novel Greylag Goose Optimization Algorithm with Evolutionary Game Theory (EGGO) von Wang, Lei, Yao, Yuqi, Yang, Yuanting, Zang, Zihao, Zhang, Xinming, Zhang, Yiwen, Yu, Zhenglei

“… In this paper, an Enhanced Greylag Goose Optimization Algorithm (EGGO) based on evolutionary game theory is presented to address the limitations of the traditional Greylag Goose Optimization Algorithm (GGO …”
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Multi-objective edge server placement using the whale optimization algorithm and game theory von Asghari, Ali, Azgomi, Hossein, darvishmofarahi, Zahra

“… Due to the users’ mobility, new online applications, as well as low processing power and limited energy of smart devices, traditional cloud computing models …”
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A multi-objective migrating birds optimization algorithm based on game theory for dynamic flexible job shop scheduling problem von Wei, Lixin, He, Jinxian, Guo, Zeyin, Hu, Ziyu

“… optimization algorithm based on game theory. Firstly, in order to solve the problem of difficult to determine the weight in weighted multi-objective optimization, this paper introduces game theory to balance the Pareto optimality and fairness …”
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Wind Farm Layout Optimization Using Multiobjective Modified Electric Charged Particles Optimization Algorithm Based on Game Theory Indexing in Real Onshore Area von Hidayat, Taufal, Ramli, Makbul A. M., Hardi, Apri Zulmi, Bouchekara, Houssem R. E. H., Milyani, Ahmad H.

“… ), is introduced to minimize both the Levelized Cost of Electricity (LCOE) and noise levels. This algorithm employs a new game theory-based indexing method to effectively sort the Pareto solution set …”
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A Multi-Objective Optimization Approach Based on an Enhanced Particle Swarm Optimization Algorithm With Evolutionary Game Theory von Yin, Kaiyang, Tang, Biwei, Li, Ming, Zhao, Huanli

“… ) with evolutionary game theory (EGT). Firstly, a modified self-adaptive PSO (MSAPSO) adopting a novel self-adaptive parameter adaption rule determined by the evolutionary …”
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Continuous Time Learning Algorithms in Optimization and Game Theory von Sorin, Sylvain

“… The purpose of this work is the comparison of learning algorithms in continuous time used in optimization and game theory …”
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Dimension Reduction for Hyperspectral Remote Sensor Data Based on Multi-Objective Particle Swarm Optimization Algorithm and Game Theory von Gao, Hongmin, Yang, Yao, Zhang, Xiaoke, Li, Chenming, Yang, Qi, Wang, Yongchang

“… The multi-objective particle swarm optimization algorithm is easy to implement and characterized …”
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Enhancing agricultural land valuation in land consolidation projects through cooperative game theory and genetic algorithm optimization von Hashemi, Vahid, Taleai, Mohammad, Abolhasani, Somaie

“… This study aims to address the challenge of fair valuation in land consolidation projects by introducing a novel methodology that integrates cooperative game theory with metaheuristic …”
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Comparison of game theory and genetic algorithm optimisation schedulers for diesel-hydrogen powered system reconfiguration von Taghavifar, Hadi, Roy, Sumit, Roskilly, Anthony Paul

“… This study investigates the application of multi-objective game theory (MOGT) and non-dominated sorting genetic algorithm II (NSGA-II …”
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A Survey on the Combined Use of Optimization Methods and Game Theory von Sohrabi, Mohammad Karim, Azgomi, Hossein

“… In this paper, a combined use of game theory and optimization algorithms has been reviewed and a new …”
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Dynamic edge server placement in mobile edge computing using modified red deer optimization algorithm and Markov game theory von Asghari, Ali, Vahdani, Alireza, Azgomi, Hossein, Forestiero, Agostino

“… Today, the development of intelligent mobile communication equipment, online applications such as online games, e-commerce, e-learning, and multimedia applications, and also the advent of the fifth …”
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An improved swarm optimization algorithm using exploration and evolutionary game theory for efficient exploitation von Aguirre, Nahum, Cuevas, Erik, Luque-Chang, Alberto, Escobar-Cuevas, Hector

“… Exploiters use evolutionary game theory, where weaker agents adopt the strategies of stronger ones, ensuring efficient exploitation …”
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A novel adaptive pigeon-inspired optimization algorithm based on evolutionary game theory von Hai, Xingshuo, Wang, Zili, Feng, Qiang, Ren, Yi, Sun, Bo, Yang, Dezhen

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Game Theory-Based Multi-Objective Optimization Interference Alignment Algorithm for HSR 5G Heterogeneous Ultra-Dense Network von Sheng, Jie, Tang, Ziwen, Wu, Cheng, Ai, Bo, Wang, Yiming

“… This article proposes a power allocation interference alignment algorithm based on game equilibrium with the goal of joint optimization about throughput and energy efficiency for imperfect channels …”
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An energy consumption prediction approach in smart cities by CNN-LSTM network improved with game theory and Namib Beetle Optimization (NBO) algorithm von Chahardoli, Meysam, Osati Eraghi, Nafiseh, Nazari, Sara

“… In this manuscript, in the first step, the data set is balanced using the generative adversarial network based on game theory and the synthetic minority oversampling based on sample density method …”
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Game Theory-Inspired Evolutionary Algorithm for Global Optimization von Yang, Guanci

“… Game theory is widely recognized as an important tool in many fields. This paper introduces a game theory-inspired evolutionary algorithm for global optimization (GameEA …”
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GTIACO: energy efficient clustering algorithm based on game theory and improved ant colony optimization von Wan, Hang, Qiu, Zhizhuo, Quan, Rui, David, Michael, Derigent, William

“… This paper introduces GTIACO, a novel metaheuristic clustering protocol. It employs an optimal cluster head function to determine cluster number and utilizes game theory for selecting optimal cluster heads …”
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A robust routing protocol for energy and coverage optimization in wireless sensor networks using game theory and heuristic algorithm von Chen, Hao, Wan, Hua-Ping, Ge, Hui-Bin, Luo, Yaozhi

“… In this study, a game theory based fault tolerant routing protocol (FTRP-GT) is proposed to reduce network energy consumption, manage faulty nodes, and extend network lifetime …”
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Optimization Operation of Water Resources Using Game Theory and Marine Predator Algorithm von Far, Shirin Moradi, Ashofteh, Parisa-Sadat

“… Game theory and conflict resolution methods, taking into account the interests and strategies of the players, provide efficient methods for allocating reservoirs water resources to stakeholder …”
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A cyber defense system against phishing attacks with deep learning game theory and LSTM-CNN with African vulture optimization algorithm (AVOA) von Elberri, Mustafa Ahmed, Tokeşer, Ümit, Rahebi, Javad, Lopez-Guede, Jose Manuel

“… This approach combines SMOTE, an enhanced GAN based on the Autoencoder network, and swarm intelligence algorithms to balance the dataset, select informative features, and generate grayscale images …”
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