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Relevant bibliographies by topics / Mathematical optimization. Algorithms. Network analysis (Planning)

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Academic literature on the topic 'Mathematical optimization. Algorithms. Network analysis (Planning)'

Author: Grafiati

Published: 4 June 2021

Last updated: 16 February 2022

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Journal articles on the topic "Mathematical optimization. Algorithms. Network analysis (Planning)"

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Nitola, Alejandra, Jennyfer Marin, and Sergio Rivera. "Scheduling of a Microgrid with High Penetration of Electric Vehicles Considering Congestion and Operations Costs." Vehicles 3, no. 3 (2021): 578–94. http://dx.doi.org/10.3390/vehicles3030035.

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This paper reviews the impact that can be presented by the immersion of generation sources and electric vehicles into the distribution network, with a technical, operational and commercial approach, given by the energy transactions between customer and operator. This requires a mathematical arrangement to identify the balance between congestion and the operating cost of a microgrid when the operation scheduling of the system a day ahead of horizon time it is required. Thus, this research is directed to the solution, using heuristic algorithms, since they allow the non-convex constraints of the

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Fuso, Flavia, Maria C. Cunha, and Gianfranco Becciu. "Functional Feasibility in Optimal Evaluation of Water Distribution Network Performances." Water 12, no. 12 (2020): 3404. http://dx.doi.org/10.3390/w12123404.

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The traditional approach for the optimization of water distribution networks (WDNs) does not always lead to consistent solutions from an operational point of view. The latest optimization algorithms identify solutions that are “the best solutions” in mathematical terms but that can be less than robust against changes in operating conditions, resulting in the worst case in hydraulically infeasible configurations. Thus, this paper aims to provide a methodology that can synthesize the network performance capabilities under the change in operating conditions with two convergent strategies. The fir

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Нырков, Д., D. Nyrkov, Александр Стариков, and Aleksandr Starikov. "Analysis of Advanced Algorithms Master Production Schedule for Custom Manufacture of Furniture." Forestry Engineering Journal 7, no. 3 (2017): 299–306. http://dx.doi.org/10.12737/article_59c2124049cd45.48567850.

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The article discusses the algorithms employed in automated systems for master production scheduling in the applicability of their produce-to-order furniture. Small batch and custom production of furniture occupies a significant market share, as we do, and in the countries of Western Europe. Also, it is a prospective direction of development for other industries, focused on the end user. Most of the existing national planning systems designed for large-scale and mass production, in which the main role takes enterprise performance. Therefore, the main indicator, which is used by the optimization

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Martínez-Bahena, Beatriz, Marco Cruz-Chávez, Erika Ávila-Melgar, Martín Cruz-Rosales, and Rafael Rivera-Lopez. "Using a Genetic Algorithm with a Mathematical Programming Solver to Optimize a Real Water Distribution System." Water 10, no. 10 (2018): 1318. http://dx.doi.org/10.3390/w10101318.

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This research proposes a genetic algorithm that provides a solution to the problem of deficient distribution of drinking water via the current hydraulic network in the neighborhood “Fraccionamiento Real Montecasino” (FRM), in Huitzilac, Morelos, Mexico. The proposed solution is the addition of new elements to the FRM network. The new elements include storage tanks, pipes, and pressure-reducing valves. To evaluate the constraint satisfaction model of mass and energy conservation, the hydraulic EPANET solver (HES) is used with an optimization model to minimize the total cost of changes in the ne

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Dobrynin, Alexey Sergeyevich, Stanislav Matveevich Kulakov, and Alexander Sergeyevich Koynov. "BUILDING UP SCHEDULES IN MULTIPROJECT DESIGN MANAGEMENT SYSTEMS." Vestnik of Astrakhan State Technical University. Series: Management, computer science and informatics 2021, no. 3 (2021): 105–14. http://dx.doi.org/10.24143/2072-9502-2021-3-105-114.

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The article focuses on the problem of algorithmizing the process of building schedules in various spheres of human activity by using the modern mathematical apparatus, as well as achievements in the field of systems analysis, game theory, and graph theory. Nowadays, there have been analyzed and determined the boundaries of the effective application of many well-known heuristic and metaheuristic algorithms, which have shown good results in practice. However, despite the achievements in the discrete optimization, scheduling and network planning, the new problems of drawing up so-called coordinat

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Chai, Huo, Ruichun He, Changxi Ma, Cunjie Dai, and Kun Zhou. "Path Planning and Vehicle Scheduling Optimization for Logistic Distribution of Hazardous Materials in Full Container Load." Discrete Dynamics in Nature and Society 2017 (2017): 1–13. http://dx.doi.org/10.1155/2017/9685125.

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Mathematical models for path planning and vehicle scheduling for logistic distribution of hazardous materials in full container load (FCL) are established, with their problem-solving methods proposed. First, a two-stage multiobjective optimization algorithm is designed for path planning. In the first stage, pulse algorithm is used to obtain the Pareto paths from the distribution center to each destination. In the second stage, a multiobjective optimization method based on Nondominated Sorting Genetic Algorithm II (NSGA-II) is designed to obtain candidate transport paths. Second, with analysis

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Wu, Daqing, Jiazhen Huo, Gefu Zhang, and Weihua Zhang. "Minimization of Logistics Cost and Carbon Emissions Based on Quantum Particle Swarm Optimization." Sustainability 10, no. 10 (2018): 3791. http://dx.doi.org/10.3390/su10103791.

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This paper aims to simultaneously minimize logistics costs and carbon emissions. For this purpose, a mathematical model for a three-echelon supply chain network is created considering the relevant constraints such as capacity, production cost, transport cost, carbon emissions, and time window, which will be solved by the proposed quantum-particle swarm optimization algorithm. The three-echelon supply chain, consisting of suppliers, distribution centers, and retailers, is established based on the number and location of suppliers, the transport method from suppliers to distribution centers, and

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D’Emidio, Mattia. "Faster Algorithms for Mining Shortest-Path Distances from Massive Time-Evolving Graphs." Algorithms 13, no. 8 (2020): 191. http://dx.doi.org/10.3390/a13080191.

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Computing shortest-path distances is a fundamental primitive in the context of graph data mining, since this kind of information is essential in a broad range of prominent applications, which include social network analysis, data routing, web search optimization, database design and route planning. Standard algorithms for shortest paths (e.g., Dijkstra’s) do not scale well with the graph size, as they take more than a second or huge memory overheads to answer a single query on the distance for large-scale graph datasets. Hence, they are not suited to mine distances from big graphs, which are b

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Chen, Lina, Longxi Han, Hong Ling, et al. "Allocating Water Environmental Capacity to Meet Water Quality Control by Considering Both Point and Non-Point Source Pollution Using a Mathematical Model: Tidal River Network Case Study." Water 11, no. 5 (2019): 900. http://dx.doi.org/10.3390/w11050900.

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Based on the principles of fairness and feasibility, a nonlinear optimization allocation method for pollutants was developed based on controlled section water quality standards, considering the synergetic influence of point and surface sources. The maximum allowable emission of pollutants from point and surface sources were taken as the objective function. The water quality attainment rate of controlled sections, the control requirements of pollution sources, and technical parameters of pollution control engineering were taken as constraints. A nonlinear optimization allocation model was estab

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Meng, Ming, Yanan Fu, Huifeng Shi, and Xinfang Wang. "A Small-Sample Adaptive Hybrid Model for Annual Electricity Consumption Forecasting." Mathematical Problems in Engineering 2017 (2017): 1–7. http://dx.doi.org/10.1155/2017/7427131.

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Annual electricity consumption forecasting is one of the important foundations of power system planning. Considering that the long-term electricity consumption curves of developing countries usually present approximately exponential growth trends and linear and accelerated growth rate trends may also appear in certain periods, this paper first proposes a small-sample adaptive hybrid model (AHM) to extrapolate the above curves. The iterative trend extrapolation equation of the proposed model can simulate the linear, exponential, and steep trends adaptively at the same time. To estimate the equa

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Dissertations / Theses on the topic "Mathematical optimization. Algorithms. Network analysis (Planning)"

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Hojnacki, Susan M. "Optimizing algorithms for shortest path analysis /." Online version of thesis, 1991. http://hdl.handle.net/1850/11143.

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Brayman, Vladimir. "Hierarchical distributed algorithm for optimization of flows and prices in logistics distribution networks /." Thesis, Connect to this title online; UW restricted, 2003. http://hdl.handle.net/1773/5876.

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Yim, Ka-wing, and 嚴家榮. "A reliability-based land use and transportation optimization model." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2005. http://hub.hku.hk/bib/B34618879.

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Wang, Shentao. "Supply chain planning using network flow optimization." online access from Digital Dissertation Consortium access full-text, 2003. http://libweb.cityu.edu.hk/cgi-bin/er/db/ddcdiss.pl?MQ89164.

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Siomina, Iana. "Radio Network Planning and Resource Optimization : Mathematical Models and Algorithms for UMTS, WLANs, and Ad Hoc Networks." Doctoral thesis, Norrköping : Department of Science and Technology, Linköping University, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-9158.

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He, Qie. "Topics in discrete optimization: models, complexity and algorithms." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/50237.

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In this dissertation we examine several discrete optimization problems through the perspectives of modeling, complexity and algorithms. We first provide a probabilistic comparison of split and type 1 triangle cuts for mixed-integer programs with two rows and two integer variables in terms of cut coefficients and volume cutoff. Under a specific probabilistic model of the problem parameters, we show that for the above measure, the probability that a split cut is better than a type 1 triangle cut is higher than the probability that a type 1 triangle cut is better than a split cut. The analysis al

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Haiba, Mohamed Salem. "A study and implementation of the network flow problem and edge integrity of networks." Virtual Press, 1991. http://liblink.bsu.edu/uhtbin/catkey/834644.

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Fundamental problems in graph theory are of four types existence, construction, enumeration and optimization problems. Optimization problems lie at the interface between computer science and the field of operations research and are of primary importance in decision-making. In this thesis, two optimization problems are studied: the edge-integrity of networks and the network flow problem. An implementation of the corresponding algorithms is also realized.The edge integrity of a communication network provides a way to assess the vulnerability of the network to disruption through the destruction o

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Guan, Junfei. "Simultaneous optimization of transit line configuration and passenger line assignment /." View abstract or full-text, 2004. http://library.ust.hk/cgi/db/thesis.pl?CIVL%202004%20GUAN.

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Boginski, Vladimir L. "Optimization and information retrieval techniques for complex networks." [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0011379.

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Yim, Ka-wing. "A reliability-based land use and transportation optimization model." Click to view the E-thesis via HKUTO, 2005. http://sunzi.lib.hku.hk/hkuto/record/B34618879.

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Books on the topic "Mathematical optimization. Algorithms. Network analysis (Planning)"

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L, Magnanti Thomas, and Orlin James B, eds. Network flows: Theory, algorithms, and applications. Prentice Hall, 1993.

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Orlin, James B. Polynomial dual network simplex algorithms. Alfred P. Sloan School of Management, Massachusetts Institute of Technology, 1991.

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Orlin, James B. Polynomial dual network simplex algorithms. Dept. of Computer Science, Stanford University, 1991.

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Linear network optimization: Algorithms and codes. MIT Press, 1991.

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L, Magnanti Thomas, and Orlin James B. 1953-, eds. Network flows: Theory, algorithms, and applications. Prentice Hall, 1993.

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Schannath, Heinz. Polynomiale und streng polynomiale Algorithmen für Netzwerkfluss-Probleme. Deutscher Universitäts-Verlag, 1991.

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Network optimization. Chapman & Hall, 1995.

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R, Evans James. Optimization algorithms for networks and graphs. 2nd ed. M. Dekker, 1992.

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Network optimization: Continuous and discrete methods. Athena Scientific, 1998.

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Ahuja, Ravindra K. Network flows. Alfred P. Sloan School of Management, Massachusetts Institute of Technology, 1988.

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Book chapters on the topic "Mathematical optimization. Algorithms. Network analysis (Planning)"

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"Theory and Analysis of Evolutionary Optimization." In Network-Based Distributed Planning Using Coevolutionary Algorithms. WORLD SCIENTIFIC, 2004. http://dx.doi.org/10.1142/9789812794857_0004.

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"Theory and Analysis of Distributed Coevolutionary Optimization." In Network-Based Distributed Planning Using Coevolutionary Algorithms. WORLD SCIENTIFIC, 2004. http://dx.doi.org/10.1142/9789812794857_0005.

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Ouyang, Ye, and M. Hosein Fallah. "Planning and Dimensioning of the 3G UMTS Core Networks." In Next Generation Data Communication Technologies. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-61350-477-2.ch001.

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The current literature provides many practical tools or theoretical methods to design, plan, and dimension Global System for Mobile Communications (GSM) and Universal Mobile Telecommunications System (UMTS) radio networks, but overlooks the algorithms of the network planning and dimensioning for core networks of GSM, UMTS, and IP Multimedia Subsystem (IMS). This chapter introduces an algorithm for traffic, bandwidth, and throughput dimensioning of the network entities in the UMTS core network. The analysis is based on the traffic and throughput generated or absorbed in the interfaces of the network entities in the UMTS core network. Finally a case study is provided to verify the algorithms created for UMTS core network. This chapter is aimed at helping UMTS network operators dimension an optimum network size and build an optimum network structure to deliver an optimum quality of service for users. The algorithms developed in the chapter have been successfully applied in dimensioning a nationwide UMTS network in North Africa and adopted in an optimization tool by a mobile operator in the United States in 2008-09.

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Dimitriou, Loukas, Antonios Kaltsounis, and Antony Stathopoulos. "Pareto Evolutionary Optimization of Joint Network Design and Pricing Strategies Related to Emissions in Urban Networks." In Transportation Systems and Engineering. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8473-7.ch011.

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In the current social, physical, economical and environmental circumstances of scarcity, the design and management of vital lifelines like transportation systems, especially within the metropolitan context, are subject to the implementation of multiple objectives in a unified framework. Thus, one of the most important issues is the identification of optimal trade-offs among crucial objectives both from the designer's as well as from the users' perspective. In the current study a comprehensive framework for estimating optimal interrelations and dilemmas among emissions-related carbon footprint and other (social- and economic-related) features of urban road networks design and operation are presented and analyzed, based on techniques of multi-objective and hierarchical mathematical programming with equilibrium constraints, solved by suitable hybridization of evolutionary algorithms. The results of the proposed optimization methodological approach provide the Pareto Frontier of solutions, which corresponds to optimal trade-offs amongst multiple objectives. The computational experience from the application of the proposed methodological approach on a part of a realistic urban network is presented, providing evidence on the applicability as well as on the computational burden of such transportation design paradigms, but most importantly, on the dilemmas emerging in sustainable design and planning of transportation systems.

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Dimitriou, Loukas, Antonios Kaltsounis, and Antony Stathopoulos. "Pareto Evolutionary Optimization of Joint Network Design and Pricing Strategies Related to Emissions in Urban Networks." In Civil and Environmental Engineering. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9619-8.ch021.

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In the current social, physical, economical and environmental circumstances of scarcity, the design and management of vital lifelines like transportation systems, especially within the metropolitan context, are subject to the implementation of multiple objectives in a unified framework. Thus, one of the most important issues is the identification of optimal trade-offs among crucial objectives both from the designer's as well as from the users' perspective. In the current study a comprehensive framework for estimating optimal interrelations and dilemmas among emissions-related carbon footprint and other (social- and economic-related) features of urban road networks design and operation are presented and analyzed, based on techniques of multi-objective and hierarchical mathematical programming with equilibrium constraints, solved by suitable hybridization of evolutionary algorithms. The results of the proposed optimization methodological approach provide the Pareto Frontier of solutions, which corresponds to optimal trade-offs amongst multiple objectives. The computational experience from the application of the proposed methodological approach on a part of a realistic urban network is presented, providing evidence on the applicability as well as on the computational burden of such transportation design paradigms, but most importantly, on the dilemmas emerging in sustainable design and planning of transportation systems.

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Arbaiy, Nureize, Junzo Watada, and Pei-Chun Lin. "Fuzzy Random Regression-Based Modeling in Uncertain Environment." In Sustaining Power Resources through Energy Optimization and Engineering. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9755-3.ch006.

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The parameter value determination is important to avoid the developed mathematical model is troublesome and may yield inappropriate results. However, estimating the weights of the parameter or objective functions in the mathematical model is sometimes not easy in real situations, especially when the values are unavailable or difficult to decide. Additionally, various uncertainties include in the statistical data makes common mathematical analysis is not competent to deal with. Hence, this paper presents the Fuzzy Random Regression approach to determine the coefficient whereby statistical data used contain uncertainties namely, fuzziness and randomness. The proposed methods are able to provide coefficient information in the model setting and consideration of uncertainties in the evaluation process. The assessment of coefficient value is given by Weight Absolute Percentage Error of Fuzzy Decision. It clarifies the results between fuzzy decision and non-fuzzy decision that shows the distance of different between both approaches. Finally, a real-life application of production planning models is provided to illustrate the applicability of the proposed algorithms to a practical case study.

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Floudas, Christodoulos A. "Mixed-Integer Linear Optimization." In Nonlinear and Mixed-Integer Optimization. Oxford University Press, 1995. http://dx.doi.org/10.1093/oso/9780195100563.003.0010.

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This chapter provides an introduction to the basic notions in Mixed-Integer Linear Optimization. Sections 5.1 and 5.2 present the motivation, formulation, and outline of methods. Section 5.3 discusses the key ideas in a branch and bound framework for mixed-integer linear programming problems. A large number of optimization models have continuous and integer variables which appear linearly, and hence separably, in the objective function and constraints. These mathematical models are denoted as Mixed-Integer Linear Programming MILP problems. In many applications of MILP models the integer variables are 0 — 1 variables (i.e., binary variables), and in this chapter we will focus on this sub-class of MILP problems. A wide range of applications can be modeled as mixed-integer linear programming MILP problems. These applications have attracted a lot of attention in the field of Operations Research and include facility location and allocation problems, scheduling problems, and fixed-charge network problems. The excellent books of Nemhauser and Wolsey (1988), and Parker and Rardin (1988) provide not only an exposition to such applications but also very thorough presentation of the theory of discrete optimization. Applications of MILP models in Chemical Engineering have also received significant attention particularly in the areas of Process Synthesis, Design, and Control. These applications include (i) the minimum number of matches in heat exchanger synthesis (Papoulias and Grossmann, 1983; see also chapter 8) (ii) heat integration of sharp distillation sequences (Andrecovich and Westerberg, 1985); (iii) multicomponent multiproduct distillation column synthesis (Floudas and Anastasiadis, 1988); (iv) multiperiod heat exchanger network, and distillation system synthesis (Floudas and Grossmann, 1986; Paules and Floudas, 1988); flexibility analysis of chemical processes (Grossmann and Floudas, 1987); (v) structural properties of control systems (Georgiou and Floudas, 1989, 1990); (vi) scheduling of batch processes (e.g., Rich and Prokapakis, 1986, 1986; Kondili et al., 1993; Shah et al, 1993; Voudouris and Grossmann, 1992, 1993); and (vii) planning and scheduling of batch processes (Shah and Pantelides, 1991, Sahinidis et al, 1989, Sahinidis and Grossmann, 1991). In addition to the above applications, MILP models are employed as subproblems in the mixed-integer nonlinear optimization approaches which we will discuss in the next chapter. In this section, we will present the formulation of Mixed-Integer Linear Programming MILP problems, discuss the complexity issues, and provide a brief overview of the solution methodologies proposed for MILP models.

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Conference papers on the topic "Mathematical optimization. Algorithms. Network analysis (Planning)"

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Jones, Jerald E., Valerie L. Rhoades, and Mark D. Mann. "Weld Process Modeling, Monitoring, Teaching, and Control using Artificial Neural Networks: Improving Navy and Commercial Shipbuilding for the Future." In SNAME Maritime Convention. SNAME, 2013. http://dx.doi.org/10.5957/smc-2013-p46.

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Metal melting and solidification is a physical process which is described by a class of differential equations which have no closed form solution – it is known in Classical Mathematics as the “Stephan Problem”. The iterative methods used by numerical analyses techniques, such as Finite Element Analysis, are far too slow to be effective for process optimization and control. A DARPA Program a decade ago concentrated on flexible manufacturing – basically, robots that program themselves, depend heavily on sensors to be “smart” about their actions and decisions, and perform quality control with lit

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Zhang, Yue, Yunke Zhang, and Wanlong Xu. "Network planning model analysis based on mathematical optimization theory." In 2016 International Conference on Communication and Electronics Systems (ICCES). IEEE, 2016. http://dx.doi.org/10.1109/cesys.2016.7889914.

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Zhang, Jie, Jun Yang, Mehmet Aydin, and Joyce Wu. "Mathematical Modelling and Comparisons of Four Heuristic Optimization Algorithms for WCDMA Radio Network Planning." In 2006 International Conference on Transparent Optical Networks. IEEE, 2006. http://dx.doi.org/10.1109/icton.2006.248446.

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Li, Kengjian, Yuchuan Chen, and Yuxin Chen. "Network power planning model analysis for large-scale transmission expansion based on mathematical optimization theory." In 2016 International Conference on Communication and Electronics Systems (ICCES). IEEE, 2016. http://dx.doi.org/10.1109/cesys.2016.7889909.

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Kulkarni, Sukrut Shridhar, and Marliana Bt Mohammad. "Improvising Integrated Gas Planning Through Network Optimization for End-To-End Value Chain Enhancement." In International Petroleum Technology Conference. IPTC, 2021. http://dx.doi.org/10.2523/iptc-21235-ms.

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Abstract This paper describes a suggestion to improvise an integrated gas planning process through network optimization. As a prudent operator it is imperative to formulate long-term gas supply outlook and scenarios to ensure efficient and effective resource management with due considerations of growth strategies while maximizing value for purpose of production-focused conversations, technical assessment of forthcoming developments, commercial arrangement policy and strategic expansions. Also, it necessitates to develop and implement resolution plan arising from supply planning areas i.e. shor

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Kulkarni, Sukrut Shridhar, Marliana Bt Mohammad, Sharifah Nooraini Bt Syed Tahir, Frankie Kia Yong Tan, and Masnizah Bt Supu. "Situational Analysis of Complex Offshore Network for Strategizing Sequence for Green Field Development." In SPE Trinidad and Tobago Section Energy Resources Conference. SPE, 2021. http://dx.doi.org/10.2118/200933-ms.

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Abstract This paper establishes the approach to strategize the appropriate sequencing and monetization of the green field development through performing situational analysis for the complex offshore facilities to recognize new hydrocarbon molecules. As prudent operator for the complex network its crucial to pursue strategic ideas and innovative concepts to optimize supply demand balance, fulfill contractual obligations to optimize resources to maximize value creation, whilst protecting investment decisions for hydrocarbon monetization for the green field development. It is therefore necessary

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Alexandrescu, Aurora C., Simona Adina O. Alexandrescu, and Constantin Adrian O. Alexandrescu. "Contributions Concerning the Power Optimization of the Pumping Stations." In ASME 2008 Fluids Engineering Division Summer Meeting collocated with the Heat Transfer, Energy Sustainability, and 3rd Energy Nanotechnology Conferences. ASMEDC, 2008. http://dx.doi.org/10.1115/fedsm2008-55007.

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Profitability of water distribution activity depends largely on the relationships between operational capability and service costs, related to supplier’s performance, volume of distributed water and effective operating costs. The main variables that influence the total selling price are required investment value, specific consumption of electrical energy for pumping power, unit price of the electrical energy and total volume of monthly consumed water billed. The selection of rehabilitation and modernization measures must rely on market studies results that appropriately establish the quantitie

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Verda, V., C. Ciano, and M. Cali`. "Thermoeconomic Synthesis of District Heating Networks." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-61448.

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District Heating (DH) is an efficient way to provide heat to residential users since it can allow recuperation of waste heat or can be coupled with cogenerative plants and very efficient boilers, achieving overall energy savings and thus allowing reductions in the system’s global emissions. Notwithstanding all of these benefits, the question if DH is to be preferred to other solutions, such as micro-cogenerative plants or conventional boilers feeding single or small groups of buildings, has its answer not only in technical and environmental evaluations, but also in economical ones, involving t

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