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Yawei Ning, Minglei Ren, Shuai Guo, Guohua Liang, Bin He, Xiaoyang Liu and Rong Tang
Multi-objective reservoir operation of reservoir flood control involves numerous factors and complex model solving, and exploring effective methods for solving the operation models has always been a hot topic in reservoir optimization operation research....
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Zhanghao Qu, Peng Zhang, Yaohua Hu, Huanbo Yang, Taifeng Guo, Kaili Zhang and Junchang Zhang
The stability of vehicles is influenced by the suspension system. At present, there are many studies on the suspension of traditional passenger vehicles, but few are related to agricultural mobile robots. There are structural differences between the susp...
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Jan Pelczynski
The present paper discusses an innovative approach providing the solution sets of engineering structures with uncertain parameters. The approach is based on the properties of convex sets and can be applied to structures described by the system of algebra...
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Julien Baste, Lars Jaffke, Tomá? Masarík, Geevarghese Philip and Günter Rote
In this work, we study the d-Hitting Set and Feedback Vertex Set problems through the paradigm of finding diverse collections of r solutions of size at most k each, which has recently been introduced to the field of parameterized complexity. This paradig...
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Chunling Ye, Zhengyan Mao and Mandan Liu
Inspired by the mechanism of generation and restriction among five elements in Chinese traditional culture, we present a novel Multi-Objective Five-Elements Cycle Optimization algorithm (MOFECO). During the optimization process of MOFECO, we use individu...
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Suresh Vannan, Tammy W. Beaty, Robert B. Cook, Daine M. Wright, Ranjeet Devarakonda, Yaxing Wei, Les A. Hook and Benjamin F. McMurry
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Lu Sun, Bao Zhang, Ping Wang, Zhihong Gan, Pengpeng Han and Yijian Wang
The process of intelligent multi-objective parametric optimization design for mirrors is discussed in detail in this paper, with the error of the mirror surface shape and the total mass being examined as the optimization objectives. The establishment of ...
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Dominique Fleischmann and László Könözsy
This paper focuses on the development of an explicit finite difference numerical method for approximating the solution of the inhomogeneous fourth-order Euler?Bernoulli beam bending equation with velocity-dependent damping and second moment of area, mass...
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Kleopatra Pirpinia, Peter A. N. Bosman, Jan-Jakob Sonke, Marcel van Herk and Tanja Alderliesten
Current state-of-the-art medical deformable image registration (DIR) methods optimize a weighted sum of key objectives of interest. Having a pre-determined weight combination that leads to high-quality results for any instance of a specific DIR problem (...
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Elias Munapo
Pág. 59 - 69
The paper presents a new reformulation approach to reduce the complexity of a branch and bound algorithm for solving the knapsack linear integer problem. The branch and bound algorithm in general relies on the usual strategy of first relaxing the integer...
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Ivy Ordanel, Proceso Fernandez, Jr. and Henry Adorna
The Poset Cover Problem is an optimization problem where the goal is to determine a minimum set of posets that covers a given set of linear orders. This problem is relevant in the field of data mining, specifically in determining directed networks or mod...
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Weisheng Liu, Jian Wu, Fei Wang, Yixin Huang, Qiongdan Dai and Li Yang
The increasing penetration of distributed generation (DG) brings about great fluctuation and uncertainty in distribution networks. In order to improve the ability of distribution networks to cope with disturbances caused by uncertainties and to evaluate ...
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Xiangyu Kong, Yuting Wang, Xiaoxiao Yuan and Li Yu
A phasor measurement unit (PMU) can provide phasor measurements to the distribution network to improve observability. Based on pre-configuration and existing measurements, a network compression method is proposed to reduce PMU candidate locations. Taking...
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Sam Fletcher,Md Zahidul Islam
The ability to extract knowledge from data has been the driving force of Data Mining since its inception, and of statistical modeling long before even that. Actionable knowledge often takes the form of patterns, where a set of antecedents can be used to ...
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Mohammad Zamani Nejad, Mehdi Jabbari, Mehdi Ghannad
Pág. 65 - 73
Using multi-layers method (MLM), a semi-analytical solution have been derived for determination of displacements and stresses in a thick cylindrical shell with variable thickness under non-uniform pressure. Three different profiles (convex, linear and co...
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Carlo E. D. Riboldi and Alberto Rolando
Despite offering often significant advantages with respect to other flying machines, especially in terms of flight endurance, airships are typically harder to control. Technological solutions borrowed from the realm of shipbuilding, such as bow thrusters...
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Jeffrey O. Agushaka and Absalom E. Ezugwu
A situation where the set of initial solutions lies near the position of the true optimality (most favourable or desirable solution) by chance can increase the probability of finding the true optimality and significantly reduce the search efforts. In opt...
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Xiao Zhou, Yinhu Zhan, Guanghui Feng, De Zhang and Shaomei Li
Smart tourism is the new frontier field of the tourism research. To solve current problems of smart tourism and tourism geographic information system (GIS), individualized tour guide route plan algorithm based on tourist sight spatial interest field is s...
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Weilin Liu, Lina Liu, Fang Tong
Pág. 1 - 15
There is an increasing trend in the use of multi-objective evolutionary algorithms (MOEAs) to solve multi-objective optimization problems of the allocation of water resources. However, typically the outcome is a set of Pareto optimal solutions which make...
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Weilin Liu, Lina Liu and Fang Tong
There is an increasing trend in the use of multi-objective evolutionary algorithms (MOEAs) to solve multi-objective optimization problems of the allocation of water resources. However, typically the outcome is a set of Pareto optimal solutions which make...
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