Search Results - "Mixed integer nonlinear programming problem"

An efficient GA–PSO approach for solving mixed-integer nonlinear programming problem in reliability optimization by Sahoo, Laxminarayan, Banerjee, Avishek, Bhunia, Asoke Kumar, Chattopadhyay, Samiran

“…–parallel and bridge systems. This approach maximizes the overall system reliability subject to the nonlinear resource constraints arising on system cost, volume and weight…”
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Optimal reactive power and voltage control in distribution networks with distributed generators by fuzzy adaptive hybrid particle swarm optimisation method by Chen, Shuheng, Hu, Weihao, Su, Chi, Zhang, Xiaoxu, Chen, Zhe

“… The objective is to minimise comprehensive cost, consisting of power loss and operation cost of transformers and capacitors, and subject to constraints such as minimum and maximum reactive power…”
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Min-Max Cost Optimization for Efficient Hierarchical Federated Learning in Wireless Edge Networks by Feng, Jie, Liu, Lei, Pei, Qingqi, Li, Keqin

“… In particular, we minimize the cost of the worst-case participant subject to the delay, local CPU-cycle frequency, power allocation, local accuracy, and subcarrier assignment constraints…”
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A production–inventory model incorporating the effect of preservation technology investment when demand is fluctuating with time by Hsieh, Tsu-Pang, Dye, Chung-Yuan

“…In most of the inventory models in the literature, the rate of deterioration of goods is viewed as an exogenous variable, which is not subject to control…”
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A component-based coding–decoding approach to set-membership filtering for time-varying systems under constrained bit rate by Li, Jun-Yi, Wang, Zidong, Lu, Renquan, Xu, Yong

“…This paper is concerned with the set-membership filtering (SMF) problem for a class of discrete time-varying systems with unknown-but-bounded noises under bit…”
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Energy demand management for process systems through production scheduling and control by Tong, Chudong, Palazoglu, Ahmet, El-Farra, Nael H., Yan, Xuefeng

“…Demand response (DR) is an integral part of the Smart Grid paradigm, and has become the focus of growing research, development, and deployment in residential,…”
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Hybrid Active-Passive RIS Transmitter Enabled Energy-Efficient Multi-User Communications by Huang, Ao, Mu, Xidong, Guo, Li, Zhu, Guangyu

“… requirement and the maximum RIS amplification power constraint. Using the Dinkelbach relaxation, the original mixed-integer nonlinear programming problem is transformed…”
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Distributed Filtering Under Constrained Bit Rate Over Wireless Sensor Networks: Dealing With Bit Rate Allocation Protocol by Li, Jun-Yi, Wang, Zidong, Lu, Renquan, Xu, Yong

“… A bit rate constraint, which is subject to the so-called bandwidth allocation strategy, is placed to quantify the effect of the network bandwidth on the distributed filtering performance…”
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UAV Trajectory Optimization for Joint Relay Communication and Image Surveillance by Cuong, Nguyen Van, Hong, Y.-W. Peter, Sheu, Jang-Ping

“… The resulting mixed-integer nonlinear programming problem is solved by an inexact block coordinate descent (BCD…”
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An ANN-Embedded MILP approach for optimizing the Steady-State operation of gas pipeline networks by Zhao, Sirui, Zuo, Lili, Cao, Yankai, Wu, Changchun

“… However, the complex hydraulic-thermal coupling constraints and mixed-integer decision variables in such models result in a large-scale mixed-integer nonlinear programming problem that is extremely hard to solve…”
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Predictive Maneuver Planning for an Autonomous Vehicle in Public Highway Traffic by Wang, Qian, Ayalew, Beshah, Weiskircher, Thomas

“… This is done based on the predicted likely motion of the autonomous vehicle and other object vehicles subject to sensor noise and environmental disturbances…”
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Cluster-Free NOMA Communications Toward Next Generation Multiple Access by Xu, Xiaoxia, Liu, Yuanwei, Mu, Xidong, Chen, Qimei, Ding, Zhiguo

“… To tackle this highly-coupled mixed-integer nonlinear programming problem, an alternating direction method of multipliers-successive convex approximation…”
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Minimization of the distribution operating costs with D-STATCOMS: A mixed-integer conic model by Montoya, Oscar Danilo, Garces, Alejandro, Gil-González, Walter

“…) in power distribution networks. Metaheuristic algorithms have been conventionally used to solve this mixed-integer nonlinear programming problem…”
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Optimal short-term water-energy dispatch for pumping stations with grid-connected photovoltaic self-generation by Naval, Natalia, Yusta, Jose M.

“… to minimize the weekly operating costs of a real pumping station. The resulting model is formulated as a mixed-integer nonlinear programming problem that determines…”
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On-Demand Transmission for Edge-Assisted Remote Control in Industrial Network Systems by Chen, Cailian, Lyu, Ling, Zhu, Shanying, Guan, Xinping

“…Sensing data and control commands are frequently exchanged over communication networks for remote data acquisition and distributed control in industrial…”
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Optimal composition of heterogeneous multi-agent teams for coverage problems with performance bound guarantees by Sun, Chuangchuang, Welikala, Shirantha, Cassandras, Christos G.

“…We consider the problem of determining the optimal composition of a heterogeneous multi-agent team for coverage problems by including costs associated with different agents and subject to an upper…”
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Joint Network Admission Control, Mode Assignment, and Power Allocation in Energy Harvesting Aided D2D Communication by Awan, Asfand Yar, Ali, Mudassar, Naeem, Muhammad, Qamar, Farhan, Sial, Muhammad Nadeem

“… The objective is to maximize throughput of the network subject to the joint constraints on user performance, number of admitted users for equity and fair usage, mode assignment (cellular or D2D…”
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Optimal design of adsorbents for NORM removal from produced water in natural gas fracking. Part 2: CAMD for adsorption of radium and barium by Benavides, Pahola T., Gebreslassie, Berhane H., Diwekar, Urmila M.

“…) of natural gas fracking waste. The adsorbent selection optimization problem is posed as a mixed integer nonlinear programming problem and a new algorithm called efficient ant colony optimization (EACO…”
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Optimizing Resources Allocation for Fog Computing-Based Internet of Things Networks by Li, Xi, Liu, Yiming, Ji, Hong, Zhang, Heli, Leung, Victor C. M.

“…In the wireless Internet of Things (IoT) networks with resource-constrained devices, fog computing has been introduced to deal with the computation-intensive…”
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Improved management of water resources in process industry by accounting for fluctuations of water content in feed streams and products by Ferrucci, Aurelio, Vocciante, Marco

“…•Fluctuating waters are of primary importance for several water-consuming industries.•Common strategies not consider fluctuating water, limiting the overall…”
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