Results 11 to 20 of about 245,638 (344)
Solving Fuzzy Optimization Problems Using Shapley Values and Evolutionary Algorithms
The fusion of evolutionary algorithms and the solution concepts of cooperative game theory is proposed in this paper to solve the fuzzy optimization problems.
Hsien-Chung Wu
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Logistics Transportation Time Optimization Based on Fuzzy Particle Swarm Optimization [PDF]
The fuzzy particle swarm optimization (FPSO-RRB- algorithm is used to solve the logistics transportation time optimization problem, a three-dimensional particle coding method based on receiving point, particle position sequence and particle position ...
Zhang Bingqing
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A review of training methods of ANFIS for applications in business and economic [PDF]
Fuzzy Neural Networks (FNNs) techniques have been effectively used in applications that range from medical to mechanical engineering, to business and economics.
Hussain, Kashif, Mohd Salleh, Mohd Najib
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With the limited amount of national defense resources, the dynamic allocation of resources in overall project construction is conducive to improving the efficiency of project construction.
Yu-Ting Zhang, Jing-Yu Yang, Yang Wu
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Spinning reserve allocation is a critical problem for active power dispatch with large-scale wind power penetration. A risk-based reserve allocation method that accounts multiple control sub-area coordination is given in this paper. And a multi-objective
Qinglai Guo +4 more
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This work introduces a fuzzy optimization model, which solves in an integrated way the berth allocation problem (BAP) and the quay crane allocation problem (QCAP).
Edwar Lujan +5 more
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Energy–Water Management System Based on MPC for a Greenhouse in a Mapuche Indigenous Community
Rural communities usually settle in territories where crop self-consumption is the main source of sustenance. In this context, climate change has made these environments of crop control susceptible to water shortages, impacting crop yields.
Alvaro Endo +5 more
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Neuro-Fuzzy Computing System with the Capacity of Implementation on Memristor-Crossbar and Optimization-Free Hardware Training [PDF]
In this paper, first we present a new explanation for the relation between logical circuits and artificial neural networks, logical circuits and fuzzy logic, and artificial neural networks and fuzzy inference systems.
Merrikh-Bayat, Farnood +2 more
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This paper applies double-uncertainty optimization theory to the operation of AC/DC hybrid microgrids to deal with uncertainties caused by a high proportion of intermittent energy sources.
Peng LI +3 more
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New Class of Preinvex Fuzzy Mappings and Related Inequalities
This study aims to consider new kinds of generalized convex fuzzy mappings (convex-𝘍𝘔), which are called strongly α-preinvex fuzzy mappings. We investigated the characterization of preinvex-𝘍𝘔s using α-preinvex-𝘍𝘔s, which can be viewed as a novel and ...
Muhammad Bilal Khan +3 more
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