Adaptive predator prey algorithm for many objective optimization by Nikunj Mashru, Kanak Kalita, Lenka Čepová, Pinank Patel, Arpita, Pradeep Jangir

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Quasiparticle Cooling Algorithms for Quantum Many-Body State Preparation by Jerome Lloyd, Alexios A. Michailidis, Xiao Mi, Vadim Smelyanskiy, Dmitry A. Abanin

“…This work establishes quasiparticle cooling algorithms as a practical, robust method for many-body state preparation on near-term quantum processors.…”
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A Simplified Hypervolume-Based Evolutionary Algorithm for Many-Objective Optimization by Hong Ji, Cai Dai

“…Evolutionary algorithms based on hypervolume have demonstrated good performance for solving many-objective optimization problems. …”
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Dynamic decomposition and hyper-distance based many-objective evolutionary algorithm by Xujian Wang, Fenggan Zhang, Minli Yao

“…Abstract Nowadays many algorithms have appeared to solve many-objective optimization problems (MaOPs), yet the balance between convergence and diversity is still an open issue. …”
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Angle-Based Dual-Association Evolutionary Algorithm for Many-Objective Optimization by Xinzi Wang, Huimin Wang, Zhen Tian, Wenxiao Wang, Junming Chen

“…To address this challenge, this paper proposes an Angle-based dual-association Evolutionary Algorithm for Many-Objective Optimization (MOEA-AD). …”
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ALGORITHM OF DECISION GIVEN COMBINATORIAL TASKS ON THE BASE OF MANY-CRITARIAL OPTIMIZATION MODEL by S. V. Chebakov, L. V. Serebryanaya

“…The task about knapsack and the task about length covering are founded on use the mathematical formulas of many-critarial optimization. In developed algorithms is executed searching of pareto elements in the defined two-criterial space.…”
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Stabilizer ground states for simulating quantum many-body physics: theory, algorithms, and applications by Jiace Sun, Lixue Cheng, Shi-Xin Zhang

“…The scalability and efficiency of the algorithms are numerically benchmarked on different Hamiltonians. …”
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A Knee Point-Driven Many-Objective Evolutionary Algorithm with Adaptive Switching Mechanism by Maowei He, Xu Wang, Hanning Chen, Xuguang Li

“…In this paper, to address the challenges on MaOPs, a knee point-driven many-objective evolutionary algorithm with adaptive switching mechanism (KPEA) is proposed. …”
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MaOAOA: A Novel Many‐Objective Arithmetic Optimization Algorithm for Solving Engineering Problems by Pradeep Jangir, Arpita, Sundaram B. Pandya, Gulothungan G., Mohammad Khishe, Bhargavi Indrajit Trivedi

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Homogeneity Test of Many-to-One Risk Differences for Correlated Binary Data under Optimal Algorithms by Keyi Mou, Zhiming Li

“…The paper mainly studies homogeneity test of many-to-one risk differences from correlated binary data under optimal algorithms. …”
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Reference Point and Grid Method-Based Evolutionary Algorithm with Entropy for Many-Objective Optimization Problems by Qi Leng, Bo Shan, Chong Zhou

“…To address the limitations of reference point-based algorithms and grid-based approaches in tackling both regular and irregular problems, a reference point- and grid-based evolutionary algorithm with entropy is proposed for many-objective optimization, denoted as RGEA, which aims to solve both regular and irregular many-objective optimization problems. …”
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MODELING THE MANY EARTHQUAKES IN SUMATRA USING POISSON HIDDEN MARKOV MODELS AND EXPECTATION MAXIMIZATION ALGORITHM by Muhammad Arib Alwansyah, Ramya Rachmawati

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A Hybrid Security Algorithm AES and Blowfish for Authentication in Mobile Applications by Aji Purwinarko, Wahyu Hardyanto

“…So, it will be difficult for hackers to perform Man in the Middle (MitM) attacks.…”
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MaOSSA: A new high-efficiency many-objective salp swarm algorithm with information feedback mechanism for industrial engineering problems by Mohammad Aljaidi, Janjhyam Venkata Naga Ramesh, Ajmeera Kiran, Pradeep Jangir, Arpita, Sundaram B. Pandya, Wulfran Fendzi Mbasso, Laith Abualigah, Ali Fayez Alkoradees, Mohammad Khishe

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One-to-many vehicle-cargo matching model considering consignor satisfaction by Jingshuai YANG, Yongkang LI, Weibo YANG

“…Then, a matching satisfaction model is constructed to maximize the matching satisfaction, and an improved genetic algorithm is designed and solved using Python. Three different models of vehicle-cargo matching are compared on the data of the platform. …”
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Developing the Many-Sided Background of the Preschool Children Learning Activities by means of Algorismic Skills Development by L. V. Voronina, Y. A. Utyumova

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CATEGORIES OF COMPUTER SYSTEMS ALGORITHMS by A. V. Poltavskiy, E. Y. Rusyaeva

Subjects: “…algorithm…”
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Low-power multicast routing algorithm in green Internet by Jin-hong ZHANG, Xing-wei WANG, Min HUANG

“…A path node-driven strategy based one-to-many multicast routing algorithm in green Internet (GIOMR) is proposed to generate a low-power shortest path tree,fully making use of the path node sharing paths and meanwhile improving user’s QoS satisfaction degree.The GIOMR is implemented over CERNET2 topology by simulation.It has been shown that GIOMR has better performance on the network power consumption,the success rate of routing and the running time than efficient heuristics for energy-aware routing (EHER) algorithm.…”
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Evolution algorithm with adaptive genetic operator and dynamic scoring mechanism for large-scale sparse many-objective optimization by Xia Wang, Wei Zhao, Jia-Ning Tang, Zhong-Bin Dai, Ya-Ning Feng

Subjects: “…Large-scale sparse evolutionary algorithms…”
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New Hybrid Steepest Descent Algorithms for Equilibrium Problem and Infinitely Many Strict Pseudo-Contractions in Hilbert Spaces by Peichao Duan

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