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检索条件"任意字段=1st International Conference on the Art, Science and Engineering of Programming, Programming 2017"

共 644 条记录，以下是221-230 订阅

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Finance-based scheduling using integer programming method for building construction project in Jakarta 1

Finance-based scheduling using integer programming method fo...

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1st international conference of Construction, Infrastructure, and Materials, ICCIM 2019

作者： Ervina Gondokusumo, O. Civil Engineering Department Tarumanagara University Jakarta Indonesia

Construction project management consists of planning, scheduling, and controlling. Planning is important because it's set down the target of project to achieve successfulness. Successfulness of a project consists of several aspects, including: cost, quality, time, and HSE (Health, Safety, and Environment). In many cases, scheduling is optimized with minimum costs for achieving a project's goal. This doesn't necessarily guarantee that contactors can provide the budget according to the scheduling. This paper will focus on optimizing scheduling by considering financial capabilities. The method used to optimize scheduling by considering financial capabilities is called Finance-based Scheduling Method. The stages to do finance-based scheduling method, are: arranging initial scheme, arranging extension scheme, and formulating an integer programming model. This study have purpose to obtain optimal scheduling by considering contractor's financial capabilities. Analysis of this study uses integer programming to find the most optimal solution. However, integer programming requires different modeling for each case and result from it must be simplifying become a bar chart so it's make easier to understand. © Published under licence by IOP Publishing Ltd.

关键词： Scheduling

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Influences of series resistance and epitaxial doping densities on the terahertz performance of gallium nitride avalanche transit time source: A high-power 1.0 THz radiator 1

Influences of series resistance and epitaxial doping densiti...

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1st international conference on Advances in Physical sciences and Materials 2020, ICAPSM 2020

作者： Khan, S. Acharyya, A. Biswas, A. Sarkar, B. Inokawa, H. Dhar, R.S. School of Mines and Metallurgy Kazi Nazrul University Asansol Burdwan West Bengal713340 India Department of Electronics and Communication Engineering Cooch Behar Government Engineering College Cooch Behar West Bengal736170 India R.P.B.M. Jiaganj College of Engineering and Technology Murshidabad India Research Institute of Electronics Shizuoka University Hamamatsu432-8011 Japan Department of Electronics and Communication Engineering National Institute of Technology Chaltlang Aizawl Mizoram796012 India

Two-dimensional large-signal and noise simulations are used to study the terahertz (THz) performance of Gallium Nitride (GaN) avalanche transit time source (ATT) source. A comprehensive model of parasitic series resistance has been developed by which the effect of series resistance on the large-signal and noise performance of the 1.0 THz GaN ATT source has been investigated;the proposed model is based on time varying depletion width modulation under large-signal oscillating condition. Significant amount of deterioration in power output and efficiency have been observed due to the existence of series resistance of the device. On the other hand, the realization of the optimized structure and doping profile as per the theoretical design is a tricky job by considering the state-of-the-art GaN fabrication technology. Especially, achieving the absolute values of epitaxial doping densities is almost an unrealistic task. Therefore, it is very important to acquire the knowledge about how much extent the power output, series resistance and noise measure of the source are affected due to the change in doping level of both n- and p-layers. In the present study, the sensitivities of the above-mentioned parameters with respect to the change in the doping densities of n- and p-layers have been investigated. © Published under licence by IOP Publishing Ltd.

关键词： Gallium nitride

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Application of Theory of Constraints in Bottleneck Work stations Optimization 1

Application of Theory of Constraints in Bottleneck Work Stat...

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1st international conference Computer science and engineering, IC2SE 2019

作者： Siregar, I. Department of Industrial Engineering Faculty of Engineering Universitas Sumatera Utara Indonesia

Manufacturing industries engaged in making of instant noodles in Medan city have problems in production planning. The process studied is the manufacture of GCGEP, GCst and G-1000GSP products. The constraints faced by the company are the presence of bottlenecks on mixing and cooking work stations due to differences in capacity between the work station and the previous work station, namely the sieving work station and dough forming work station. Bottleneck work stations happens in mixing work stations in January, February, March, May, June, July and August 2014 as well as cooking work stations in January, May and July 2014. This study uses the principle of continuous improvement of Theory of Constraints (TOC) to eliminate constraints on bottleneck work stations and to facilitate the overall production flow. In applying TOC, to optimize the production master schedule and to know the maximum advantage cost, linear programming method is used. After the optimal master schedule results are known, revisions to rough cut capacity planning are carried out and the result shows that the bottleneck work station found has become a non-bottleneck work station. © Published under licence by IOP Publishing Ltd.

关键词： Linear programming

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Dynamic Economic Dispatch of Power Systems with Optimal Transmission Switching

Dynamic Economic Dispatch of Power Systems with Optimal Tran...

引用

Electrical engineering (CIYCEE), IEEE China international Youth conference on

作者： Mingxuan Lu Ming Zhou Yang Li School of Electrical & Electronic Engineering North China Electric Power University Beijing China State Grid East Inner Mongolia Electric Power Supply Co. LTD China

ISBN: (数字)9781728196596

ISBN: (纸本)9781728196602

Dynamic economic dispatch with optimal transmission switching is proposed for wind integrated power systems to improve wind power consumption and reduce system operating costs. Firstly, an optimal model for wind power systems is introduced based on the DC power flow equation. Furthermore, in order to solve the mixed integer programming problem for large-scale power systems, a pre-screening descending dimension algorithm is proposed, which pre-screens the total transmission lines to establish the candidate breakable line set, in where the selected lines can reduce the generation and wind curtailment cost. Meanwhile, a solution strategy for the dynamic economic dispatch model is proposed. The original integrated model is solved in two stages: line pre-screening and optimal dispatch. And big-M reduction is used to further improve solution efficiency. Consequently, the effectiveness and feasibility of the proposed model and acceleration algorithm are proved in the improved IEEE24 and IEEE118 system, respectively.

关键词： Economics Integer programming Heuristic algorithms Power system dynamics Switches Wind power generation Mathematical model

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Sequential and Parallel Solution-Biased Search for Subgraph Algorithms 1

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16th international conference on the Integration of Constraint programming, artificial Intelligence, and Operations Research (CPAIOR)

作者： Archibald, Blair Dunlop, Fraser Hoffmann, Ruth McCreesh, Ciaran Prosser, Patrick Trimble, James Univ Glasgow Glasgow Lanark Scotland Univ St Andrews St Andrews Scotland

ISBN: (数字)9783030192129

ISBN: (纸本)9783030192129;9783030192112

The current state of the art in subgraph isomorphism solving involves using degree as a value-ordering heuristic to direct backtracking search. Such a search makes a heavy commitment to the first branching choice, which is often incorrect. To mitigate this, we introduce and evaluate a new approach, which we call "solution-biased search". By combining a slightly-random value-ordering heuristic, rapid restarts, and nogood recording, we design an algorithm which instead uses degree to direct the proportion of search effort spent in different subproblems. This increases performance by two orders of magnitude on satisfiable instances, whilst not affecting performance on unsatisfiable instances. This algorithm can also be parallelised in a very simple but effective way: across both satisfiable and unsatisfiable instances, we get a further speedup of over thirty from thirty-six cores, and over one hundred from ten distributed-memory hosts. Finally, we show that solution-biased search is also suitable for optimisation problems, by using it to improve two maximum common induced subgraph algorithms.

关键词： Computers

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Application of the Perlin Noise Algorithm as a Track Generator in the Endless Runner Genre Game 1

Application of the Perlin Noise Algorithm as a Track Generat...

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1st international conference on Computer science and Applied Mathematic, ICCSAM 2018

作者： Ginting, Anirma Kandida Sari, Kartika Fadhilah, Cut Yusra, Rahmad Nurhadi Hartama, Dedy Zarlis, Muhammad Informatics Engineering Universitas Sumatera Utara Medan Indonesia

The rapid development of technology has made the game as one of the popular entertainment media ranging from children to adults. Endless Runner games can be interpreted into two things, namely player characters that cannot stop or the game track that continues to run. The Perlin Noise algorithm will generate a Track Generator that continues to run randomly. Procedurally track generators can produce Pseudo-endless tracks, which are commonly used in Endless Runner games. Each track is generated by combining a series of blocks installed with each other, where each block experiences a deformation change in front of it. So that the next block that will be made in accordance with the one behind it thus repeating the process will result in unlimited tracks. Making this Track Generator uses C Sharp programming language (C #) using the Unity 5.5 game engine. © Published under licence by IOP Publishing Ltd.

关键词： C (programming language)

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Performance study of Multi-Objective artificial Bee Colony (MOABC) Algorithm by Numerical Problems Benchmark

Performance study of Multi-Objective Artificial Bee Colony (...

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Innovative Research in Applied science, engineering and Technology (IRASET),conference on

作者： Hamid BOUALI Bachir BENHALA Hamid BOUYGHF LEAB Department of physics FSMeknesMoulay Ismaϊl University Morocco LEEA & TI Department of Electrical Engineering FST Mohammedia Hassan II University Morocco

ISBN: (数字)9781728149790

ISBN: (纸本)9781728149806

Multi-objective artificial bee colony (MOABC) is a meta-heuristic which belongs to the field of swarm intelligence techniques. The basic idea is to imitate the intelligent foraging behavior of honeybee swarms in order to solve multi-objective optimization problems. In this study, we present a novel version of the MOABC algorithm whose performances are evaluated through a benchmark of five multi-objective test functions. The simulation based technique is used to generate the non-dominated set of points of the Pareto fronts. A Comparison with the Multi-Objective Particle Swarm Optimization (MOPSO) algorithm is shown. The Generational Distance (GD) and Spacing (Sp) are used as performance metrics.

关键词： Measurement Benchmark testing Linear programming Particle swarm optimization Pareto optimization

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MODA metaheuristic: evaluation and application to CCII sizing

MODA metaheuristic: evaluation and application to CCII sizin...

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Innovative Research in Applied science, engineering and Technology (IRASET),conference on

作者： Mouna Kotti Nizar Dhahri Mourad Fakhfakh Bachir Benhala University of Gabes Tunisia University of Sfax Tunisia Faculty of Sciences University of Moulay Ismail Meknes Morocco

ISBN: (数字)9781728149790

ISBN: (纸本)9781728149806

This paper presents a study and an adaptation of a new nature-inspired multi-objective metaheuristic algorithm, entitled the multi-objective Dragonfly Algorithm (MODA), to the optimal design of analog circuits. First, the MODA algorithm is tested, validated and compared to another metaheuristic algorithm thru test functions without/with constraints. Performance metrics are used to show the convergence accuracy to the Pareto solutions with highly uniform distribution. In the second part, the algorithm is used to optimize the performance of an analog circuit, namely a second-generation current conveyor. Comparison between MODA performances and those obtained using the MOPSO metaheuristic is provided to show potentialities of the proposed algorithm. Spice Simulations demonstrate the merits of the MODA algorithm in analog circuit design sizing.

关键词： Measurement Optimization Heuristic algorithms Analog circuits Computer aided software engineering Convergence Linear programming

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Meta-learning Based Evolutionary Clustering Algorithm 20th

Meta-learning Based Evolutionary Clustering Algorithm

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20th international conference on Intelligent Data engineering and Automated Learning (IDEAL)

作者： Tomp, Dmitry Muravyov, Sergey Filchenkov, Andrey Parfenov, Vladimir ITMO Univ Machine Learning Lab 49 Kronverksky Pr St Petersburg 197101 Russia ITMO Univ Informat Technol & Programming Fac 49 Kronverksky Pr St Petersburg 197101 Russia

ISBN: (纸本)9783030336073;9783030336066

In this work, we address the hard clustering problem. We present a new clustering algorithm based on evolutionary computation searching a best partition with respect to a given quality measure. We present 32 partition transformation that are used as mutation operators. The algorithm is a (1 + 1) evolutionary strategy that selects a random mutation on each step from a subset of preselected mutation operators. Such selection is performed with a classifier trained to predict usefulness of each mutation for a given dataset. Comparison with state-of-the-art approach for automated clustering algorithm and hyperparameter selection shows the superiority of the proposed algorithm.

关键词： Clustering Evolutionary clustering Meta-learning Evolutionary computation

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Designing of Raw Material Scheduling Supply Multi on Supplier strategies with Price, Lead time, and stochastic Demand Variations. Case study: Electricity Manufacturer 6

Designing of Raw Material Scheduling Supply Multi on Supplie...

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Joint conference of the 6th Annual conference of Industrial and System engineering 2019, ACISE 2019 and 1st international conference on Risk Management as an Interdisciplinary Approach 2019, ICRMIA 2019

作者： Amelia, P. Ridwan, A.Y. Santosa, B. Industrial Engineering Department Telkom University Bandung Indonesia

Raw Materials are one of the important things in manufacture. The availability of these items is very important for the production process to take place. The researcher will research an electricity company. The electricity company produces electricity equipment. The four types of electricity equipment are cartridges, thermocouples, tubular and mica heaters. Some of them have stochastic demand. Each of them has three components of the same raw material and used to make the product. However, the company cannot fulfil the demand because raw materials are not available, so consumers are looking for items elsewhere. This delay occurred because of the delay in sending raw materials, so the company has to wait until the ordered items arrive. This problem is being more complicated by the differences in parameters for each supplier such as price differences and lead time of arrival. Therefore, the company must determine the optimum scheduling and safety time by minimizing inventory costs as a result of Mixed Integer Linear programming (MILP) being used in resolving these problems. © Published under licence by IOP Publishing Ltd.

关键词： Integer programming

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