Robust optimization of stabilizing piles for landslides composed of soil–rock mixtures by Yang Yu, Songlin Liu, Qing Lü

“…Subsequently, robust geotechnical design is employed to optimize the design of the stabilizing piles. The design robustness is measured by the variation of failure probability, an approach which can overcome difficulties in characterizing uncertainties in soil–rock mixture mechanical properties. …”
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A Particle Swarm Optimization Variant with an Inner Variable Learning Strategy by Guohua Wu, Witold Pedrycz, Manhao Ma, Dishan Qiu, Haifeng Li, Jin Liu

“…Although Particle Swarm Optimization (PSO) has demonstrated competitive performance in solving global optimization problems, it exhibits some limitations when dealing with optimization problems with high dimensionality and complex landscape. …”
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Enhancement of chemotherapy using oncolytic virotherapy: Mathematical and optimal control analysis by Joseph Malinzi, Rachid Ouifki, Amina Eladdadi, Delfim F. M. Torres, K. A. Jane White

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DEFORMATION CRITERION OF OPTIMIZATION OF ROUTES OF THIN HIGH-CARBON WIRE DRAWING by Yu. L. Bobarikin, S. V. Avseykov, A. V. Vedeneyev, I. N. Radjkova

“…The deformation criterion of assessment for optimization of the wire drawing routes of thin high-carbon wire, enabling to increase plastic properties of wire is offered.…”
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Process optimization of vegan prebiotic ice cream by response surface methodology by Sakshi K. Devalekar, Iranna S. Udachan

“…Optimization of ice cream formulations was determined by utilizing the Response Surface Methodology. …”
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A human-machine integrated optimization method for long walkway space by Yating Wang, Zijun Wang, Hui Wang

“…In recent years, the advancement of computer technology has made it possible to utilize genetic algorithms for multi-objective optimization of spatial layouts. Through human-machine collaboration based on genetic algorithms and expert judgment, diverse schemes can be generated more quickly and the optimal solution can be effectively selected. …”
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An Evolutionary Video Assignment Optimization Technique for VOD System in Heterogeneous Environment by King-Man Ho, Wing-Fai Poon, Kwok-Tung Lo

“…In order to find a near-optimal solution for such a complex video assignment problem, an evolutionary approach based on genetic algorithm (GA) is proposed. …”
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Optimization of Urban-Scale Sustainable Energy Strategies to Improve Citizens’ Health by Mohammad Anvar Adibhesami, Hirou Karimi, Ayyoob Sharifi, Borhan Sepehri, Hassan Bazazzadeh, Umberto Berardi

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Blast Parameter Optimization Study Based on a Blast Crater Experiment by Xi-liang Zhang, Hai-bao Yi, Hong-hao Ma, Zhao-wu Shen

“…This method provides an effective method for optimization of the blasting parameters and has important guiding significance for efficient and economical mining.…”
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Optimized Deep Belief Network for Efficient Fault Detection in Induction Motor by Pradeep Katta, K. Karunanithi, S. P. Raja, S. Ramesh, S. Vinoth John Prakash, Deepthi Joseph

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Optimization of dark chocolate formulation with roasted coriander cake as cocoa substitute by Javad Cheragheshahi, Ali Mohamadi Sani, Elham Mahdian, Sharareh Mohseni, Zahra Nazari

“…According to the results, the fitted models illustrated a desirable coefficient of determination (≥90 %).The optimization of the variables indicated that using RCC 6.08 g, Sugar 14.68 g, and Cocoa 12.23 g produced the optimized RCC chocolate with the highest desirability while maintaining the quality characteristics without undesirable changes. …”
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“The World Economy of Coronavirus”: Search for Optimal Ways to Overcome the Consequences of the Crisis by E. N. Smirnov

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Multiobjective Optimization Design of Time-Modulated Concentric Circular Ring Arrays by Weilong Liang, Zhao Wu, Li Zhang

“…Different from the single-objective optimization, which optimizes a weighted sum of the peak sidelobe level (PSLL) and the peak sideband level (PSBL) of the array, the multiobjective algorithm treats the PSLL and the PSBL as two distinct objectives that are to be optimized simultaneously. …”
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Optimization and Experimental Study of an Intelligent Bamboo-Splitting Machine Charging Manipulator by Tian-Hu Liu, Yong-Lu Wen, Gui-Qi Li, Xiang-Ning Nie

“…The size of the manipulator was optimized here using a genetic algorithm. The capture rate, centering rate, and dynamic characteristics of an intelligent bamboo-splitting machine charging manipulator, in which key factors were considered, were experimentally studied. …”
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The Influence of PK/PD on the Structure of Optimal Controls in Cancer Chemotherapy Models by Urszula Ledzewicz, Heinz Schättler

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Discrete-Time Zhang Neural Networks for Time-Varying Nonlinear Optimization by Min Sun, Maoying Tian, Yiju Wang

“…Furthermore, for the step-size of the second DTZNN model, its tight upper bound and the optimal step-size are also discussed. Finally, some numerical results and comparisons are provided and analyzed to substantiate the efficacy of the proposed DTZNN models.…”
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Applying Data Clustering Feature to Speed Up Ant Colony Optimization by Chao-Yang Pang, Ben-Qiong Hu, Jie Zhang, Wei Hu, Zheng-Chao Shan

“…Ant colony optimization (ACO) is often used to solve optimization problems, such as traveling salesman problem (TSP). …”
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Improved Vlasov Antenna with Curved Cuts and Optimized Reflector Position and Shape by H. M. El Misilmani, M. Al-Husseini, K. Y. Kabalan

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Optimal Stochastic Control Problem for General Linear Dynamical Systems in Neuroscience by Yan Chen, Yingchun Deng, Shengjie Yue, Chao Deng

“…This paper considers a d-dimensional stochastic optimization problem in neuroscience. Suppose the arm’s movement trajectory is modeled by high-order linear stochastic differential dynamic system in d-dimensional space, the optimal trajectory, velocity, and variance are explicitly obtained by using stochastic control method, which allows us to analytically establish exact relationships between various quantities. …”
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Enhancing computational accuracy with parallel parameter optimization in variational quantum eigensolver by Daisuke Tsukayama, Jun-ichi Shirakashi, Tetsuo Shibuya, Hiroshi Imai

“…The optimization in variational quantum eigensolver (VQE) is NP-hard, meaning that finding the optimal solution is infeasible in the worst-case scenario. …”
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