Results 11 to 20 of about 2,269,659 (185)
IEEE Access, 2021 This paper proposes an improved cuckoo search (CS) algorithm combining nonlinear inertial weight and differential evolution algorithm (WCSDE) to overcome the shortcomings of the CS algorithm, such as low convergence accuracy, lack of information exchange
Cheng-Xu Zhang +3 more
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IEEE Access, 2022 Slime Mould Algorithm (SMA) is a new meta-heuristics algorithm that is inspired by the behaviors of slime mould from nature. Due to its effective performance, SMA has shown its competitive performance among other meta-heuristics algorithms and has been ...
Hui Chen +4 more
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Improved Black Hole Algorithm Based on Golden Sine Operator and Levy Flight Operator
IEEE Access, 2019 The black hole (BH) algorithm is a new type of natural heuristic algorithm inspired by the movement law of the “black hole” celestial body in the universe.
W. Xie, J. S. Wang, Y. Tao
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Elite Opposition-Based Social Spider Optimization Algorithm for Global Function Optimization
Algorithms, 2017 The Social Spider Optimization algorithm (SSO) is a novel metaheuristic optimization algorithm. To enhance the convergence speed and computational accuracy of the algorithm, in this paper, an elite opposition-based Social Spider Optimization algorithm ...
Ruxin Zhao, Qifang Luo, Yongquan Zhou
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Sensors, 2022 Metaheuristic algorithms are effectively used in searching some optical solution space. for optical solution. It is basically the type of local search generalization that can provide useful solutions for issues related to optimization.
Waqar Younas +6 more
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International Journal of Computational Intelligence Systems, 2016 Biogeography-based optimization (BBO) algorithm is based on species migration between habitats to complete information circulation and sharing, which achieves the global optimization by improving the adaptability of habitats.
Jie-sheng Wang, Jiang-di Song
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Projections Onto Convex Sets (POCS) Based Optimization by Lifting [PDF]
, 2013 Two new optimization techniques based on projections onto convex space (POCS) framework for solving convex and some non-convex optimization problems are presented.
Bozkurt, A. +7 more
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Improved Grasshopper Algorithm Based on Gravity Search Operator and Pigeon Colony Landmark Operator
IEEE Access, 2020 The grasshopper optimization algorithm (GOA) is a new meta-heuristic algorithm inspired by the behavior of grasshopper groups. Aiming at the shortcomings of poor development ability and low convergence accuracy of GOA, this paper introduces the gravity ...
S. S. Guo +4 more
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IEEE Access, 2023 An improved hybrid grey wolf optimization algorithm (IHGWO) is proposed to solve the problem of population diversity, imbalance of exploration and development capabilities, and premature convergence.
Chuanjing Zhang +3 more
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Optineurin Functions for Optimal Immunity [PDF]
Frontiers in Immunology, 2018 Optineurin (OPTN) was identified 20 years ago in a yeast-two-hybrid screen with a viral protein known to inhibit the cytolytic effects of tumor necrosis factor. Since then, OPTN has been identified as a ubiquitin-binding protein involved in many signaling pathways and cellular processes, and mutations in the OPTN gene have been associated with glaucoma,
Karolina Slowicka +3 more
openaire +4 more sources