Suchergebnisse - "mixed binary nonlinear programming"
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A Ubiquitous Clinic Recommendation System Using the Modified Mixed-Binary Nonlinear Programming-Feedforward Neural Network Approach
ISSN: 0718-1876, 0718-1876Veröffentlicht: Curicó MDPI AG 01.12.2021Veröffentlicht in Journal of theoretical and applied electronic commerce research (01.12.2021)“… However, such linear mechanisms may not be able to explain the choices of all patients. To solve this problem, the modified mixed binary nonlinear programming (MMBNLP …”
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A fuzzy ubiquitous traveler clustering and hotel recommendation system by differentiating travelers’ decision-making behaviors
ISSN: 1568-4946, 1872-9681Veröffentlicht: Elsevier B.V 01.11.2020Veröffentlicht in Applied soft computing (01.11.2020)“… For generating hotel recommendations, clustering travelers has been demonstrated to be a viable method to elevate traveler satisfaction with the recommendation …”
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Optimum reassignment of degrading components for non-repairable systems
ISSN: 2472-5854, 2472-5862Veröffentlicht: Taylor & Francis 03.03.2020Veröffentlicht in IISE transactions (03.03.2020)“… In this article, a new component reassignment problem is proposed, and a mixed binary nonlinear programming model is built to determine the optimal reassignment time and optimal reassignment …”
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Modified Hybrid Multiagent Swarm Optimization Algorithms for Mixed-Binary Nonlinear Programming
ISBN: 9781467359337, 1467359335ISSN: 1530-1605, 1530-1605Veröffentlicht: IEEE 01.01.2013Veröffentlicht in 2013 46th Hawaii International Conference on System Sciences (01.01.2013)“… Since the application of the mixed-binary nonlinear programming (MBNLP) problem is widespread in many system engineering problems, it is necessary to develop an HMSO based …”
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A Constructive Heuristic Algorithm for Distribution System Planning
ISSN: 0885-8950, 1558-0679Veröffentlicht: New York IEEE 01.08.2010Veröffentlicht in IEEE transactions on power systems (01.08.2010)“… The DSP is a very complex mixed binary nonlinear programming problem. A CHA is aimed at obtaining an excellent quality solution for the DSP problem …”
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An interval fuzzy number-based fuzzy collaborative forecasting approach for DRAM yield forecasting
ISSN: 2199-4536, 2198-6053Veröffentlicht: Cham Springer International Publishing 01.02.2021Veröffentlicht in Complex & intelligent systems (01.02.2021)“… Most existing fuzzy collaborative forecasting (FCF) methods adopt type-1 fuzzy numbers to represent fuzzy forecasts. FCF methods based on interval-valued fuzzy …”
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A type-II fuzzy collaborative forecasting approach for productivity forecasting under an uncertainty environment
ISSN: 1868-5137, 1868-5145Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2021Veröffentlicht in Journal of ambient intelligence and humanized computing (01.02.2021)“… Forecasting factory productivity is a critical task. However, it is not easy owing to the uncertainty of productivity. Existing methods often forecast …”
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Interval fuzzy number-based approach for modeling an uncertain fuzzy yield learning process
ISSN: 1868-5137, 1868-5145Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2020Veröffentlicht in Journal of ambient intelligence and humanized computing (01.03.2020)“… An interval fuzzy number-based approach was proposed in this study to model an uncertain yield learning process. The study aimed to overcome the limitations of …”
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An improved decomposition-based heuristic to design a water distribution network for an irrigation system
ISSN: 0254-5330, 1572-9338Veröffentlicht: Boston Springer US 01.08.2014Veröffentlicht in Annals of operations research (01.08.2014)“… Two mixed binary nonlinear programming models are proposed for this NP-hard problem …”
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New multiagent coordination optimization algorithms for mixed-binary nonlinear programming with control applications
ISSN: 2328-1448Veröffentlicht: IEEE 01.12.2014Veröffentlicht in IEEE Symposium on Computational Intelligence in Control and Automation (Print) (01.12.2014)“… Mixed-binary nonlinear programming (MBNP), which can be used to optimize network structure and network parameters simultaneously, has been seen widely in applications of cyber-physical network systems …”
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An efficient implementation of tabu search in feeder reconfiguration of distribution systems
ISBN: 1467327271, 9781467327275ISSN: 1932-5517Veröffentlicht: IEEE 01.07.2012Veröffentlicht in 2012 IEEE Power and Energy Society General Meeting (01.07.2012)“… This paper presents an efficient tabu search algorithm (TSA) to solve the problem of feeder reconfiguration of distribution systems. The main characteristics …”
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A methodology for solving the unequal area facility layout problem using distance and shape-based measures
ISSN: 0020-7543, 1366-588XVeröffentlicht: London Taylor & Francis Group 01.04.2006Veröffentlicht in International journal of production research (01.04.2006)“… A mixed-binary nonlinear-programming model is formulated to capture the operational issues encountered on the shop floor …”
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Distribution network planning using a constructive heuristic algorithm
ISBN: 9781424442416, 1424442419ISSN: 1932-5517Veröffentlicht: IEEE 01.07.2009Veröffentlicht in 2009 IEEE Power & Energy Society General Meeting (01.07.2009)“… This is a very complex mixed binary nonlinear programming problem. A constructive heuristic algorithm (CHA …”
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Component rearrangement and system replacement for a system with stochastic degradation processes
ISSN: 0951-8320, 1879-0836Veröffentlicht: Barking Elsevier Ltd 01.09.2021Veröffentlicht in Reliability engineering & system safety (01.09.2021)“… Then a mixed binary nonlinear programming model is established …”
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Congestion management considering hydro–thermal combined operation in a pool based electricity market
ISSN: 0142-0615, 1879-3517Veröffentlicht: Oxford Elsevier Ltd 01.10.2011Veröffentlicht in International journal of electrical power & energy systems (01.10.2011)“… The proposed congestion management problem is formulated as mixed binary nonlinear programming problem to minimize the cost of re-dispatching the hydro and thermal generator companies to alleviate …”
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Whale Swarm Reinforcement Learning Based Dynamic Cooperation Clustering Method for Cell-Free Massive MIMO Systems
ISSN: 0018-9545, 1939-9359Veröffentlicht: New York IEEE 01.03.2023Veröffentlicht in IEEE transactions on vehicular technology (01.03.2023)“… However, DCC formation for all served users simultaneously is a very complicated mixed binary nonlinear programming problem, a single agent has limited capability to search the optimal schemes …”
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Joint Computation Offloading and Radio Resource Allocations in Small-Cell Wireless Cellular Networks
ISSN: 2473-2400, 2473-2400Veröffentlicht: Piscataway IEEE 01.09.2020Veröffentlicht in IEEE transactions on green communications and networking (01.09.2020)“… Mobile computation offloading (MCO) is a technique that can help reduce energy consumption of mobile devices (MDs) by offloading their tasks to more powerful …”
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Task offloading strategy and scheduling optimization for internet of vehicles based on deep reinforcement learning
ISSN: 1570-8705, 1570-8713Veröffentlicht: Elsevier B.V 01.08.2023Veröffentlicht in Ad hoc networks (01.08.2023)“… Driven by the construction of smart cities, networks and communication technologies are gradually infiltrating into the Internet of Things (IoT) applications …”
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Parallel Multiagent Coordination Optimization Algorithm: Implementation, Evaluation, and Applications
ISSN: 1545-5955, 1558-3783Veröffentlicht: IEEE 01.04.2017Veröffentlicht in IEEE transactions on automation science and engineering (01.04.2017)“… In this paper, a parallel computing implementation of a multiagent coordination optimization (MCO) algorithm is introduced using parfor, a built-in MATLAB …”
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Investigating the commonality attributes for scaling product families using comprehensive product platform planning (CP3)
ISSN: 1615-147X, 1615-1488Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2013Veröffentlicht in Structural and multidisciplinary optimization (01.12.2013)“… The CP 3 model is founded on a generalized commonality matrix that represents the platform planning process as a mixed-binary nonlinear programming (MBNLP) problem …”
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