Relevant bibliographies by topics / Set of non-dominated schedules

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
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Academic literature on the topic 'Set of non-dominated schedules'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Set of non-dominated schedules"

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D.Rajeswari and SenthilKumar V.Jawahar. "Multiprocessor Scheduling And Performance Evaluation Using Elitist Non Dominated Sorting Genetic Algorithm for Independent Task." International Journal on Computational Science & Applications (IJCSA) 5, no. 5 (2015): 11. https://doi.org/10.5281/zenodo.3295895.

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Task scheduling plays an important part in the improvement of parallel and distributed systems. The problem of task scheduling has been shown to be NP hard. The time consuming is more to solve the problem in deterministic techniques. There are algorithms developed to schedule tasks for distributed environment, which focus on single objective. The problem becomes more complex, while considering biobjective. This paper presents bi-objective independent task scheduling algorithm using elitist Nondominated sorting genetic algorithm (NSGA-II) to minimize the makespan and flowtime. This algorithm ge
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Kamali, Seyed Ruhollah, Touraj BaniRostm, Homayun Motameni, and Mohammad Teshnehlab. "An immune inspired multi-agent system for dynamic multi-objective optimization." Knowledge-Based Systems 262 (March 1, 2025): 110242. https://doi.org/10.1016/j.knosys.2022.110242.

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In this paper, a biological immune-based multi agent system (IMAS) is developed to overcome the multi-objectivity and dynamicity of the multi-objective dynamic flexible job shop scheduling (MODFJSS) problem. In modeling the MODFJSS problem, four objectives, i.e., makespan, total weighted tardiness, maximal machine workload, and schedule stability, are considered for simultaneous optimization. In the proposed IMAS architecture, immune agents are coordinated to identify the environment, generate a set of non-dominated schedules, and select a utility optimal schedule. In addition, these agents ha
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Rose, Christopher, and Jenny Coenen. "Automatic generation of a section erection planning for European shipyards building complex ships." Journal of Manufacturing Technology Management 27, no. 4 (2016): 483–501. http://dx.doi.org/10.1108/jmtm-11-2015-0106.

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Purpose – The purpose of this paper is to present a method for generating a set of feasible, optimized production schedules for the erection process of compact shipyards building complex ship types. Design/methodology/approach – A bi-objective mathematical model is developed based on the process constraints. A Pareto front of possible erection schedules is created using a the Non-dominated Sorting Genetic Algorithm II with a custom heuristic fitness function and constraint violation. Findings – It was possible to consistently generate a wide variety of production schedules with superior perfor
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Babor, Majharulislam, Line Pedersen, Ulla Kidmose, Olivier Paquet-Durand, and Bernd Hitzmann. "Application of Non-Dominated Sorting Genetic Algorithm (NSGA-II) to Increase the Efficiency of Bakery Production: A Case Study." Processes 10, no. 8 (2022): 1623. http://dx.doi.org/10.3390/pr10081623.

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Minimizing the makespan is an important research topic in manufacturing engineering because it accounts for significant production expenses. In bakery manufacturing, ovens are high-energy-consuming machines that run throughout the production time. Finding an optimal combination of makespan and oven idle time in the decisive objective space can result in substantial financial savings. This paper investigates the hybrid no-wait flow shop problems from bakeries. Production scheduling problems from multiple bakery goods manufacturing lines are optimized using Pareto-based multi-objective optimizat
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NG, C. T., NATALJA M. MATSVEICHUK, YURI N. SOTSKOV, and T. C. EDWIN CHENG. "TWO-MACHINE FLOW-SHOP MINIMUM-LENGTH SCHEDULING WITH INTERVAL PROCESSING TIMES." Asia-Pacific Journal of Operational Research 26, no. 06 (2009): 715–34. http://dx.doi.org/10.1142/s0217595909002432.

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The flow-shop minimum-length scheduling problem with n jobs processed on two machines is addressed where processing times are uncertain: only lower and upper bounds of the random processing times are given before scheduling, but their probability distributions are unknown. For such a problem, there may not exist a dominant schedule that remains optimal for all possible realizations of the processing times and so we look for a minimal set of schedules that are dominant. We obtain necessary and sufficient conditions for the case when it is possible to fix the order of two jobs in a minimal set o
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Peng, F., and L. Zheng. "An improved multi-objective Wild Horse optimization for the dual-resource-constrained flexible job shop scheduling problem: A comparative analysis with NSGA-II and a real case study." Advances in Production Engineering & Management 18, no. 3 (2023): 271–87. http://dx.doi.org/10.14743/apem2023.3.472.

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The equipment manufacturing industry needs skilled workers to operate a specific set of machines following process specifications. Optimizing machine and worker assignments to achieve maximum efficiency is a critical problem for workshop managers. This paper investigates a multi-objective dual-resource-constrained flexible job shop scheduling problem. An improved wild horse optimization (IWHO) algorithm is developed to simultaneously optimize three objectives: makespan, maximum machine workload, and total machine workload. To evaluate the quality of individuals in multi-objective optimization,
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CAPPELLO, PETER, and ÖMER EĞECIOĞLU. "PROCESSOR LOWER BOUND FORMULAS FOR ARRAY COMPUTATIONS AND PARAMETRIC DIOPHANTINE SYSTEMS." International Journal of Foundations of Computer Science 09, no. 04 (1998): 351–75. http://dx.doi.org/10.1142/s0129054198000295.

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Using a directed acyclic graph (dag) model of algorithms, we solve a problem related to precedence-constrained multiprocessor schedules for array computations: Given a sequence of dags and linear schedules parametrized by n, compute a lower bound on the number of processors required by the schedule as a function of n. In our formulation, the number of tasks that are scheduled for execution during any fixed time step is the number of non-negative integer solutions dn to a set of parametric linear Diophantine equations. We present an algorithm based on generating functions for constructing a for
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Chang, Yung-Chia, Kuei-Hu Chang, and Ching-Ping Zheng. "Application of a Non-Dominated Sorting Genetic Algorithm to Solve a Bi-Objective Scheduling Problem Regarding Printed Circuit Boards." Mathematics 10, no. 13 (2022): 2305. http://dx.doi.org/10.3390/math10132305.

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An unrelated parallel machine scheduling problem motivated by the scheduling of a printed circuit board assembly (PCBA) under surface mount technology (SMT) is discussed in this paper. This problem involved machine eligibility restrictions, sequence-dependent setup times, precedence constraints, unequal job release times, and constraints of shared resources with the objectives of minimizing the makespan and the total job tardiness. Since this scheduling problem is NP-hard, a mathematical model was first built to describe the problem, and a heuristic approach using a non-dominated sorting genet
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Rhodes, David L., and Wayne Wolf. "TWO CONP-COMPLETE SCHEDULE ANALYSIS PROBLEMS." International Journal of Foundations of Computer Science 12, no. 05 (2001): 565–80. http://dx.doi.org/10.1142/s0129054101000667.

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While many forms of schedule decision problems are known to be NP-complete, two forms of schedule analysis problems are shown to be coNP-complete in the strong sense. Each of these involve guaranteeing that all deadlines are met for a set of task-graphs in statically-mapped, priority-based, multiprocessor schedules given particular variabilities. Specifically, the first of these allows run-times which axe bracketed, where the actual run-time of some tasks can take on any value within a given range. The second deals with task-graphs which arrive asynchronously, that is where the release-time fo
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Eletin, Evgeny Vasil'evich, Galina Sergeevna Borovkova, and Aleksandr Vasil'evich Galkin. "Planning optimal loading of railway transport of mining company." Vestnik of Astrakhan State Technical University. Series: Management, computer science and informatics 2023, no. 1 (2023): 50–56. http://dx.doi.org/10.24143/2073-5529-2023-1-50-56.

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The article considers the problem of planning the optimal loading of freight trains on a limited railway network – the network of a mining company. Two variants are illustrated. In the first variant only one type of locomotives operates on the railway network. In the second variant there are different types of locomotives. The types of lo-comotives are determined by their carrying capacity. The algorithm of scheduling multiple locomotives in a network is a combination of solutions for particular scheduling problems for each locomotive subject to the restrictions on their joint movement. Struct
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Dissertations / Theses on the topic "Set of non-dominated schedules"

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Liu, Zhengliang. "Optimisation over the non-dominated set of a multi-objective optimisation problem." Thesis, Lancaster University, 2016. http://eprints.lancs.ac.uk/82563/.

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In this thesis we are concerned with optimisation over the non-dominated set of a multiobjective optimisation problem. A multi-objective optimisation problem (MOP) involves multiple conflicting objective functions. The non-dominated set of this problem is of interest because it is composed of the “best” trade-off for a decision maker to choose according to his preference. We assume that this selection process can be modelled by maximising a function over the non-dominated set. We present two new algorithms for the optimisation of a linear function over the non-dominated set of a multi-objectiv
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Wang, Xiaodong. "Classes de récurrence par chaînes non hyperboliques des difféomorphismes C¹." Thesis, Université Paris-Saclay (ComUE), 2016. http://www.theses.fr/2016SACLS100/document.

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La dynamique d'un difféomorphisme d'une variété compacte est essentiellement concentrée sur l'ensemble récurrent par chaînes, qui est partitionné en classes de récurrence par chaînes, disjointes et indécomposables. Le travail de Bonatti et Crovisier [BC] montre que, pour les difféomorphismes C¹-génériques, une classe de récurrence par chaînes ou bien est une classe homocline, ou bien ne contient pas de point périodique. Une classe de récurrence par chaînes sans point périodique est appelée classe apériodique.Il est clair qu'une classe homocline hyperbolique ni contient d'orbite périodique faib
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Books on the topic "Set of non-dominated schedules"

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Hrushovski, Ehud, and François Loeser. Non-Archimedean Tame Topology and Stably Dominated Types (AM-192). Princeton University Press, 2017. http://dx.doi.org/10.23943/princeton/9780691161686.001.0001.

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Over the field of real numbers, analytic geometry has long been in deep interaction with algebraic geometry, bringing the latter subject many of its topological insights. In recent decades, model theory has joined this work through the theory of o-minimality, providing finiteness and uniformity statements and new structural tools. For non-archimedean fields, such as the p-adics, the Berkovich analytification provides a connected topology with many thoroughgoing analogies to the real topology on the set of complex points, and it has become an important tool in algebraic dynamics and many other
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Sullivan, Meghan. The Arbitrariness Argument. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198812845.003.0003.

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This chapter presents a non‐arbitrariness argument against near bias: (1) At any given time, a prudentially rational agent’s preferences are insensitive to arbitrary differences. (2) Relative distance from the present is an arbitrary difference between events. (3) If you are near‐biased, your preferences are sensitive to when an event is scheduled relative to the present. (C) So at any given time, near‐biased preferences are not rational. This chapter focuses on objections to (1) (the Non‐Arbitrariness principle), offering cases to support the Non‐Arbitrariness principle. It considers and reje
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Burns, Tom, and Mike Firn. Training. Edited by Tom Burns and Mike Firn. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198754237.003.0027.

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This chapter sets out training frameworks and key skills and competencies that underpin comprehensive care in community outreach in mental health. A framework of core and advanced competencies for multidisciplinary teams is presented capable of supporting evidence-based clinical practice. Safe non-clinical operations are also supported by a schedule of mandatory staff training in areas such as equality, diversity, and information governance.
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Strasberg, Philipp. Quantum Stochastic Thermodynamics. Oxford University PressOxford, 2022. http://dx.doi.org/10.1093/oso/9780192895585.001.0001.

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Abstract Processes at the nanoscale happen far away from the thermodynamic limit, far from equilibrium and are dominated by fluctuations and, perhaps, even quantum effects. This book establishes a consistent thermodynamic framework for such processes by combining tools from non-equilibrium statistical mechanics and the theory of open quantum systems. The book is accessible for graduate students and of interest to all researchers striving for a deeper understanding of the laws of thermodynamics beyond their traditional realm of applicability. It puts most emphasis on the microscopic derivation
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Book chapters on the topic "Set of non-dominated schedules"

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Fu, Yuzhen, Han Huang, Shujin Ye, Liang Lv, Hui Zhang, and Longqiu Shao. "An Algorithm for Finding Non-dominated Set Based on Two-Dimension Sorting." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-49014-3_14.

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Chebouba, Billal Nazim, Mohamed Arezki Mellal, and Smail Adjerid. "Multi-objective Reliability Optimization of a Pharmaceutical Plant by NSGA-II." In Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2456-9_27.

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AbstractThis work addresses the use of a MO optimization algorithm to deal with the reliability optimization problem in order to determine the redundancy and reliability of each component in the system. Often, these problems are formulated as a single-objective problem with mixed variables (real-integer) and is subject to various design constraints. Classical solution approaches were limited to deal with these problems and most recent solution approaches are based on nature-inspired optimization algorithms which belong to artificial intelligence (AI). In the present paper, the problem is solve
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Jabs, Christoph, Jeremias Berg, Bart Bogaerts, and Matti Järvisalo. "Certifying Pareto-Optimality in Multi Objective Maximum Satisfiability." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-90653-4_6.

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Abstract Due to the wide employment of automated reasoning in the analysis and construction of correct systems, the results reported by automated reasoning engines must be trustworthy. For Boolean satisfiability (SAT) solvers—and more recently SAT-based maximum satisfiability (MaxSAT) solvers—trustworthiness is obtained by integrating proof logging into solvers, making solvers capable of emitting machine-verifiable proofs to certify correctness of the reasoning steps performed. In this work, we enable for the first time proof logging based on the VeriPB proof format for multi-objective MaxSAT
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Dong, W., Y. Huang, B. Lehane, and G. Ma. "An Intelligent Multi-objective Design Optimization Method for Nanographite-Based Electrically Conductive Cementitious Composites." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-3330-3_35.

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AbstractNanographite (NG) is a promising conductive filler for producing effective electrically conductive cementitious composites for use in structural health monitoring methods. Since the acceptable mechanical strength and electrical resistivity are both required, the design of NG-based cementitious composite (NGCC) is a complicated multi-objective optimization problem. This study proposes a data-driven method to address this multi-objective design optimization (MODO) issue for NGCC using machine learning (ML) techniques and non-dominated sorting genetic algorithm (NSGA-II). Prediction model
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Rudziński, Filip. "An Application of Generalized Strength Pareto Evolutionary Algorithm for Finding a Set of Non-Dominated Solutions with High-Spread and Well-Balanced Distribution in the Logistics Facility Location Problem." In Artificial Intelligence and Soft Computing. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59063-9_39.

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Dadhich, Khushboo, and Devika Kataria. "Effect of Channel Slot Time on Performance of IEEE 802.15.6-Based Medical Body Area Network." In Communications in Computer and Information Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-28180-8_25.

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AbstractThe IEEE 802.15.6 standard is an emerging technology that supports low data rate, short-range wireless communication. Medical Body Area Networks (MBAN) are a special type of wireless communication where multiple sensor nodes are deployed on the human body to measure vital parameters. The data is sent by the nodes to a coordinator, the latter aggregates the data and sends it to a central server using standard protocols. The coordinator allows the nodes to access the channel using different access modes-beacon mode with the super frame, non-beacon mode with super frame and non-beacon mod
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Munk Rasmus and Vinter Brian. "MUMMERING Platform Idea's & Ubiquitous Data Analysis." In Concurrent Systems Engineering Series. IOS Press, 2019. https://doi.org/10.3233/978-1-61499-949-2-323.

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The growth from terabytes of 3D imaging data and soon approaching petabytes from material analysis has left the scientists involved with a set of challenges. In particular, the ability to efficiently analyze an ever growing collection of material tomography scans. The MUMMERING research project aims to solve this by providing ability to submit workflows to automate the process of analyzing the collected data. We explore and present our initial design thoughts in this endeavor. This includes a proposal to utilize the IDMC system developed at UCPH to provide an efficient method in terms of sched
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Dhouib, Souhail. "Simulation Study on Truck Noise and Distance Minimization with the Novel Dhouib-Matrix4-PMO Method." In Advances in Transdisciplinary Engineering. IOS Press, 2024. https://doi.org/10.3233/atde241272.

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In transportation, a famous problem known as Travelling Salesman Problem (TSP) is based on optimizing distance (or time, cost, noise, … etc.) between all nodes. In this paper, two criteria are stimulatingly minimized the distance and the noise using the innovative Dhouib-Matrix4-PMO (DM4-PMO) metaheuristic for a truck case study. The DM4-PMO works on two steps and generate two Pareto non dominated solutions. Where, the first Pareto set is generated using a pondered function and the followed second Pareto is created via a logographical optimization. Simulation results, using Python programming
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Perny Patrice and Spanjaard Olivier. "Near Admissible Algorithms for Multiobjective Search." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2008. https://doi.org/10.3233/978-1-58603-891-5-490.

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In this paper, we propose near admissible multiobjective search algorithms to approximate, with performance guarantee, the set of Pareto optimal solution paths in a state space graph. Approximation of Pareto optimality relies on the use of an epsilon-dominance relation between vectors, significantly narrowing the set of non-dominated solutions. We establish correctness of the proposed algorithms, and discuss computational complexity issues. We present numerical experimentations, showing that approximation significantly improves resolution times in multiobjective search problems.
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Bielza, C., D. R. íos-Insua, and S. R. íos-Insua. "Influence Diagrams under Partial Information." In Bayesian Statistics 5. Oxford University PressOxford, 1996. http://dx.doi.org/10.1093/oso/9780198523567.003.0026.

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Abstract We consider influence diagrams in which only partial information is available about probabilities and utilities. Algorithms for computation of optimal alternatives in ID’s may be generalised to compute non-dominated alternatives in ID’s under partial information. Typically, the set of nondominated alternatives is too big so we introduce additional criteria to select one of those alternatives.
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Conference papers on the topic "Set of non-dominated schedules"

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Udomvorakulchai, Veerawat, Miguel Pineda, and Eric S. Fraga. "Introducing Competition in a Multi-Agent System for Hybrid Optimization." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.132182.

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Process systems engineering optimization problems may be challenging. These problems often exhibit nonlinearity, non-convexity, discontinuity, and uncertainty, and often only the values of objective and constraint functions are accessible. Additionally, some problems may be computationally expensive. In such scenarios, black-box optimization methods may be appropriate to tackle such problems. A general-purpose multi-agent framework for optimization has been developed to automate the configuration and use of hybrid optimization, allowing for multiple optimization solvers, including different in
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Ward, Oliver M. G., Federico Galvanin, Nelia Jurado, Daniel Blackburn, Robert J. Warren, and Eric S. Fraga. "Optimization of the Power Conversion System for a Pulsed Fusion Power Plant with Multiple Heat Sources using a Dynamic Process Model." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.189049.

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The optimization of the power conversion system, responsible for thermal-to-electrical energy conversion, for a pulsed fusion power plant is presented. A spherical tokamak is modelled as three heat sources, all pulsed, with different stream temperatures and available amounts of heat. A thermal energy storage system is considered in the design to compensate for the lack of thermal power during a dwell. Thermal storage enables continued power generation during a dwell and can avoid thermal transients in sensitive components like turbomachines. Multiple lower grade heat sources are integrated int
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EL Helali, Osama, Mohamed Haddad, Salamat Gumarov, Said Benelkadi, Eduardo Bianco, and Craig Mitchel. "Successful CRI Project for Offshore Abu Dhabi Field: 3 Million Barrels Injected with ZERO Subsurface Failures." In SPE/IADC Middle East Drilling Technology Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/202169-ms.

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Abstract Cuttings reinjection (CRI) project at OFFSHORE ABU DHABI field achieved successful operation with three million barrels injected to date with zero subsurface failures setting up an environmentally friendly and cost-effective waste management success story that complies with zero discharge requirements. The project exceeded initial expectations by accommodating non-aqueous drilling waste from jack-up drilling rigs in addition to artificial islands own rigs. Subsurface assurance and engineering workflows proved to be effective in ensuring subsurface containment of drilling waste in chal
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deBeer, Bruce, Paul Chilcott, and Dave Seib. "Power Turbine Remaining Life Assessment." In ASME Turbo Expo 2001: Power for Land, Sea, and Air. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/2001-gt-0232.

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The design life of an industrial power turbine has traditionally been 100,000 hours or 5,000 starts, based on a specific set of assumed operating conditions. Actual operating conditions vary from site to site, and are often less severe than the initial assumptions used by the manufacturer. This is why Dresser-Rand has developed a Remaining Life Assessment program. The objective of this program is to assist operators in extending the life of expensive components, determining inspection intervals, developing component replacement schedules, and establishing a spare parts stocking program. A comp
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Tang, Suqin, Zixing Cai, and Jinhua Zheng. "A Fast Method of Constructing the Non-dominated Set: Arena's Principle." In 2008 Fourth International Conference on Natural Computation (ICNC). IEEE, 2008. http://dx.doi.org/10.1109/icnc.2008.823.

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Li, Mengmeng, Zhigang Shang, Xiaoyang Shen, et al. "Sample Set Reduction Method Based on Neighborhood Non-Dominated Crowding-Distance Sorting." In 2018 11th International Symposium on Computational Intelligence and Design (ISCID). IEEE, 2018. http://dx.doi.org/10.1109/iscid.2018.10120.

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Kvet, Marek, and Jaroslav Janáček. "Hyperheuristics for Determination of Non-dominated Set of Public Service System Designs." In 2023 33rd Conference of Open Innovations Association (FRUCT). IEEE, 2023. http://dx.doi.org/10.23919/fruct58615.2023.10142997.

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Kvet, Marek, and Jaroslav Janacek. "Non-dominated Set of Public Service System Designs using Simulated Annealing Approach." In 2022 IEEE 26th International Conference on Intelligent Engineering Systems (INES). IEEE, 2022. http://dx.doi.org/10.1109/ines56734.2022.9922632.

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Reddicharla, Nagaraju, Khawla Rashid Sulaiman Rashid Alnaqbi, Subba Ramarao Rachapudi Venkata, et al. "Machine Learning Driven Problem Detection for Production Optimization - Well Cease to Flow Prediction." In ADIPEC. SPE, 2024. http://dx.doi.org/10.2118/222548-ms.

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Abstract Early detection of a liquid loading has always been a challenging task. Typical existing best practices are the "cease to flow" problem occurs when a well is unable to remove the liquids produced from the wellbore. These liquids accumulate at downhole, forming a static column that creates back pressure against the formation pressure, leading to a decline in production until the well stops producing. Primary technical challenges include the complexities of reservoir dynamics, variability in well and fluid properties, and environmental factors. Additionally, procuring labeled training d
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Zhou, Xia, Jiong Shen, and Jianxian Shen. "An Immune Recognition Based Algorithm for Finding Non-Dominated Set in Multi-Objective Optimization." In 2008 Pacific-Asia Workshop on Computational Intelligence and Industrial Application (PACIIA). IEEE, 2008. http://dx.doi.org/10.1109/paciia.2008.235.

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Reports on the topic "Set of non-dominated schedules"

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Fernandez, Ruben, Hernando Lugo, and Georfe Dulikravich. Aerodynamic Shape Multi-Objective Optimization for SAE Aero Design Competition Aircraft. Florida International University, 2021. http://dx.doi.org/10.25148/mmeurs.009778.

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The SAE Regular Class Aero Design Competition requires students to design a radio-controlled aircraft with limits to the aircraft power consumption, take-off distance, and wingspan, while maximizing the amount of payload it can carry. As a result, the aircraft should be designed subject to these simultaneous and contradicting objectives: 1) minimize the aerodynamic drag force, 2) minimize the aerodynamic pitching moment, and 3) maximize the aerodynamic lift force. In this study, we optimized the geometric design variables of a biplane configuration using 3D aerodynamic analysis using the ANSYS
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Zambrano, Omar, Denisse Laos, and Marcos Robles. Global boom, local impacts: Mining revenues and subnational outcomes in Peru 2007-2011. Inter-American Development Bank, 2014. http://dx.doi.org/10.18235/0011633.

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The relationship between the abundance of natural resources and socio-economic performance has been a main object of study in the economic development field since Adam Smith. Dominated by the verification of the so called curse of natural resource, the mainstream literature on the topic has been mostly on the study of cross sectional data at the national level, with limited empirical use of exogenous differences in the abundance of natural resources at the subnational level. We explore the case of Peru, a mining-rich middle income country where -exploiting a unique data set constructed for thi
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