Demand-Based Optimal Design of Storage Tank with Inerter System by Shiming Zhang, Ruifu Zhang, Zhipeng Zhao

“…These indicators are reformulated through a random vibration analysis under virtual excitation. The problem is then transformed from a multiobjective optimization problem to a single-objective nonlinear problem using the ε-constraint method, which is consistent with the demand-based method. …”
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A Review of Stochastic Optimization Algorithms Applied in Food Engineering by Laís Koop, Nadia Maria do Valle Ramos, Adrián Bonilla-Petriciolet, Marcos Lúcio Corazza, Fernando Augusto Pedersen Voll

“…It was observed that evolutionary methods are the most applied in solving food engineering optimization problems where the genetic algorithm and differential evolution stand out. …”
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HYBRID OPTIMIZATION METHOD OF CONTINUUM STRUCTURE AND ITS SUPPORTING LOCATIONS by HU TianNan, DING XiaoHong

“…In engineering problems,there is interaction between the layout of supporting locations and the distribution of structural material. …”
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Parametric Optimization of Viscoplastic Bars Under Dynamic Axial Loading by E. Cegielski, M. Życzkowski

“…The paper formulates the problem of the parametric optimal design of a viscoplastic bar under the impact of axial force, Eq. (4.4), and gives some solutions. …”
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Energy-efficient strategy for data migration and merging in Storm by Yonglin PU, Jiong YU, Liang LU, Ziyang LI, Chen BIAN, Bin LIAO

“…Storm is suffering the problems of high energy consumption but low efficiency.Aiming at this problem,the resource constraint model,the optimal principle of data reorganization in executors and node voltage reduction principle were proposed based on the analysis of the architecture and topology of Storm,and further the energy-efficient strategy for data migration and merging was put forward in Storm(DMM-Storm),which was composed of resource constraint algorithm,data migration and merging algorithm as well as node voltage reduction algorithm.The resource constraint algorithm estimates whether work nodes are appropriate for data migration according to the resource constraint model.The data migration and merging algorithm designs an optimal method to migrate data according to the the optimal principle of data reorganization in executors.The node voltage reduction algorithm reduces voltage of work nodes according to node voltage reduction principle.The experimental results show that the DMM-Storm can reduce energy consumption efficiently without affecting the performance of cluster compared with the existing researches.…”
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Energy-efficient strategy for data migration and merging in Storm by Yonglin PU, Jiong YU, Liang LU, Ziyang LI, Chen BIAN, Bin LIAO

“…Storm is suffering the problems of high energy consumption but low efficiency.Aiming at this problem,the resource constraint model,the optimal principle of data reorganization in executors and node voltage reduction principle were proposed based on the analysis of the architecture and topology of Storm,and further the energy-efficient strategy for data migration and merging was put forward in Storm(DMM-Storm),which was composed of resource constraint algorithm,data migration and merging algorithm as well as node voltage reduction algorithm.The resource constraint algorithm estimates whether work nodes are appropriate for data migration according to the resource constraint model.The data migration and merging algorithm designs an optimal method to migrate data according to the the optimal principle of data reorganization in executors.The node voltage reduction algorithm reduces voltage of work nodes according to node voltage reduction principle.The experimental results show that the DMM-Storm can reduce energy consumption efficiently without affecting the performance of cluster compared with the existing researches.…”
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Efficient use of optimality conditions in Interval Branch and Bound methods by Mihály Gencsi, Boglárka G.-Tóth

“…Furthermore, a test case generator is presented that transforms unconstrained problems into constrained test cases by setting a given number of active and inactive constraints at a global optimizer. …”
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Optimal Control Strategies Depending on Interest Level for the Spread of Rumor by Yong Dam Jeong, Kwang Su Kim, Il Hyo Jung

“…The analysis of optimal control problems is conducted as Pontryagin’s Maximum Principle. …”
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Heuristics for Multiobjective Optimization of Two-Sided Assembly Line Systems by N. Jawahar, S. G. Ponnambalam, K. Sivakumar, V. Thangadurai

“…There are two approaches to solve multiobjective optimization problem: first approach combines all the objectives into a single composite function or moves all but one objective to the constraint set; second approach determines the Pareto optimal solution set. …”
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Optimal Guidance Law for Critical Safe Miss Distance Evasion by Chengze Wang, Jiamin Yan, Rui Lyu, Zhuo Liang, Yang Chen

“…Next, we formulate an optimal control problem with energy consumption as the objective function and the ZEM at the terminal time as the terminal constraint. …”
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URBAN PASSENGER TRANSPORT ROAD NETWORKS: PROSPECTS OF METHODS’ OPTIMIZATION by S. M. Mochalin, J. A. Koleber

“…It had been revealed that over time, methods for optimizing the route networks of urban passenger transport had been improved and made it possible to take into account the opposing interests of the participants in the passenger transportation process in the city, as well as to set a large set of initial parameters and constraints for a mathematical model for optimizing the urban route network. …”
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Higher-Order Weakly Generalized Epiderivatives and Applications to Optimality Conditions by Qilin Wang, Guolin Yu

“…By virtue of the higher-order weakly generalized contingent (adjacent) epiderivatives, both necessary and sufficient optimality conditions are obtained for Henig efficient solutions to a set-valued optimization problem whose constraint set is determined by a set-valued map. …”
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Reliability Optimization Design of Rail-roader Electric Wheel Reducer by Yi Chengshan, Liu Yanhu, Cun Ligang, Sun Yunqi

“…From the perspective of the optimization design of rail-roader electric wheel,according to the working condition and load conditions of planetary gear,taking the volume,contact ratio,efficiency of NGW planetary gear transmission as the target function,optimization design of gear reducer is carried out based on the theory of reliability.The reliability of gear fatigue strength is combined within the constraint of optimization problem,the optimization parameters such as the minimum volume and quality of the machinery parts and components are obtained,the transmission efficiency remain before optimization level.By the optimization design of planetary gear reducer,the special requirements of rail-roader electric wheel are fulfilled.The reference forthe design of rail-roader provided.…”
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Optimal Jamming Attack Scheduling in Networked Sensing and Control Systems by Lifu Zhang, Heng Zhang, Cunhua Li, Buxi Ni

“…From viewpoint of the attacker, we formulate an optimization problem which maximizes the Linear Quadratic Gaussian (LQG) control cost with attacking energy constraint in a finite time horizon. …”
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Unsupervised Image Classification Based on Fully Fuzzy Voronoi Tessellation by Xiaoli Li, Longlong Zhao, Hongzhong Li, Luyi Sun, Pan Chen, Ruixia Jiang, Jinsong Chen

“…The first level retains the flexibility of pixels while modeling spatial constraints. The second level determines which class the polygon belongs to under the constraint of the first level. …”
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Building Construction Design Based on Particle Swarm Optimization Algorithm by Wenxue Song

“…When the constraint cost was 320,000 yuan, the global optimal risk loss and global optimal control cost were 910,100 yuan and 317,300, yuan respectively. …”
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Optimal Design of the Feeder-Bus Network Based on the Transfer System by Lianbo Deng, Wei Gao, Yanbing Fu, Wenliang Zhou

“…This paper studied the classic feeder-bus network design problem (FBNDP), which can be described as follows: for the passenger travel demand between rail stations and bus stops on a given urban transit network, it designs the optimal feeder bus routes and frequencies so as to minimize the passengers’ travel expense and the operator’s cost. …”
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Dynamic Node Management for Energy Optimization in Cognitive Radio Systems by Tangsen Huang, Haibing Yin, Xiangdong Yin, Huijun Xiao

“…The groups alternate in performing spectrum sensing operations, with one group engaging in sensing while the other participates in data transmission or remains idle. The optimal number of cooperative nodes is determined through a greedy algorithm, formulated as a constrained optimization problem. …”
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An Exact Algorithm Based on the Kuhn–Tucker Conditions for Solving Linear Generalized Semi-Infinite Programming Problems by Abraham Barragán, José-Fernando Camacho-Vallejo

“…Optimization problems containing a finite number of variables and an infinite number of constraints are called semi-infinite programming problems. …”
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Optimality Conditions for Fuzzy Number Quadratic Programming with Fuzzy Coefficients by Xue-Gang Zhou, Bing-Yuan Cao, Seyed Hadi Nasseri

“…The purpose of the present paper is to investigate optimality conditions and duality theory in fuzzy number quadratic programming (FNQP) in which the objective function is fuzzy quadratic function with fuzzy number coefficients and the constraint set is fuzzy linear functions with fuzzy number coefficients. …”
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