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7th International Symposium on Telecommunications (IST)

作者： Tavakoli, H. Univ Guilan Fac Engn Dept Elect Engn Rasht Iran

ISBN: (纸本)9781479953592

In this paper, we present an extension of the semi-definite programming formulation of the optimal rate code design in single link Binary Erasure Channel (BEC) proposed by the authors to the Binary Erasure Multiple Access Channel (BE-MAC) with two sources correlation. This new way can be easily extended to the multiple access senders. Simulation results show the efficiency and effectiveness of the new approach in practice.

关键词： Binary Erasure Channel Binary Erasure Multiple Access Channel linear programming non-linear programming Semidefinite programming

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Research on Signal Control of Urban Intersection Based on Genetic Algorithms

Research on Signal Control of Urban Intersection Based on Ge...

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2nd Internationl Conference on Intelligent Computation Technology and Automation

作者： Chen Qun Cent S Univ Sch Transport Engn Changsha Hunan Peoples R China

ISBN: (纸本)9780769538044

In order to study the optimization algorithm of signal timing of urban intersection under real-time traffic flows, with the target of minimizing the total delay of all entrance lanes of all phases and the restrictions of saturation and the minimum green signal time, the non-linear programming model for real-time signal control of urban intersection was constructed and the genetic algorithm for solving the model was proposed. With the model and the genetic algorithm the best scheme of signal timing can be obtained. Through a simulation experiment the application of the model and algorithm was illustrated. The cases of ignoring the restriction of saturation and minimizing the total delay of the key entrance lanes were also analyzed. The analysis results showed that the restriction of saturation should be taken into account and the target function should be constructed on the basis of minimizing the total delay of all entrance lanes of all phases so as to ensure correctness and rationality of the optimizing results.

关键词： signal timing intersection saturation non-linear programming genetic algorithm

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Demand Side Management Solutions Study in Singapore Market

Demand Side Management Solutions Study in Singapore Market

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Asian Conference on Energy, Power and Transportation Electrification (ACEPT)

作者： Bai, Xiaoyin Thoung, Geraldine Alvina, Patricia Nanyang Technol Univ Energy Res Inst NTU Singapore Singapore Univ Leuven Fac Engn Sci Leuven Belgium

ISBN: (纸本)9781538681367

Smart grid technology development progression has created a chance for the end users participation in the energy market. Singapore government has carried out the demand response programme for wholesale market since April of 2016. The Demand Side Management (DSM) in this paper looks into critical factors that will help users to reduce the energy bill with these solutions such as time-of-use (ToU) price, real-time price (RTP) and direct participation in the Demand Responses(DR) programme. This study reviews benefits for both market and users. These solutions would allow the users to become an active participant in the energy market. It also allows the government to plan better on the limited and costly energy resources, improve system reliability, and reduce transmission and distribution congestion, check and balance on the market power generation. Algorithms, such as linear programming, non-linear programming and machine learning are used in this paper to provide a numerical analysis for different DSM strategies. The research will make Singapore energy market more resilient and reducing energy consumption by introducing competition.

关键词： Singapore electricity market Demand side management Demand response linear programing non-linear programming machine learning Q learning

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An Integrated Subcooled-CAES and Absorption Chiller System for Cogeneration of Cold and Power

An Integrated Subcooled-CAES and Absorption Chiller System f...

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International Conference on Smart Energy Systems and Technologies (SEST)

作者： Arabkoohsar, Ahmad Aalborg Univ Dept Energy Technol Esbjerg Denmark

ISBN: (纸本)9781538653265

In this study, hybridization of a Subcooled compressed air energy storage (SCAES) system with a large-scale solar-powered absorption chiller (SPAC) is proposed. The combined SPAC-SCAES system is appropriate for locations with large cooling demand and grid-connected renewable power plants. Employing this system, the renewable power plant may efficiently operate in the power market, maximizing the financial benefits by storing its surplus power and reclaiming the stored energy for balancing the demand and the production. A high potential for cold production is also offered by the system. This combined system is designed and simulated for a typical case study in Denmark. non-linear programming (NLP) is used to optimize the operation strategy of the SCAES. The results show that by this system a large amount of balancing power can be produced for the grid, a reliable integration between the cold and electricity sectors is made, and the levelized cost of energy (LCOE) decreases remarkably.

关键词： Subcooled CAES Solar-powered absorption chiller Wind farm Cogeneration non-linear programming

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Generalized semi-infinite optimization and its application in robotics' path planning problem

Generalized semi-infinite optimization and its application i...

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International Conference on Artificial Intelligence/International Conference on Machine Learning, Models, Technologies and Applications

作者： Liu, H Yang, XL Zhang, J Wang, YJ Univ Toronto Dept Comp Sci Toronto ON M5S 3G4 Canada

ISBN: (纸本)1932415335

This paper presents a new real-time robot path planning approach which, to our best knowledge, is the first one in the robotic community. Motivated by the practical requirements of obstacle representation. A generalized semi-infinite optimization problem (GSOP) with not only intersection but also union operations was proposed and a mathematical solution to it was developed. This paper inherits the fundamental ideas of inequality and optimization techniques from the previous work and converts the real-time obstacle avoidance problem into a semi-infinite constrained optimization problem with the help of a delicate mathematical transformation. This leads to an efficient method for the real-time obstacle avoidance. Simulation results in 3D space have been presented to show its merits.

关键词： non-linear programming obstacle avoidance path planning robotics semi-infinite constrained optimization

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Hyper-heuristic strategies for optimal power flow problem with FACTS devices allocation in wind power integrated system

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RESULTS IN CONTROL AND OPTIMIZATION 2024年 14卷

作者： Sulaiman, Mohd Herwan Mustaffa, Zuriani Univ Malaysia Pahang Al Sultan Abdullah UMPSA Fac Elect & Elect Engn Technol Pekan 26600 Pahang Malaysia Univ Malaysia Pahang Al Sultan Abdullah UMPSA Fac Comp Pekan 26600 Pahang Malaysia

This research provides hyper-heuristic methodologies for solving Optimal Power Flow (OPF) issues in power system networks with Flexible AC Transmission Systems (FACTS) devices. OPF can be treated as one of the demanding challenges in the power system operating networks. To address the problems of loss and cost reduction, three types of FACTS devices will be studied in this paper: Static VAR Compensator (SVC), ThyristorControlled Series Compensator (TCSC), and Thyristor-Controlled Phase Shifter (TCPS). Two high level hyper-heuristic (HHH) approaches, called Exponential Monte Carlo with counter (EMCQ) and randomly select-Only Improving (OI), are employed as high-level metaheuristic to select and leverage the effectiveness of four low-level metaheuristics (LLH). These low-level metaheuristics comprise the Moth-Flame Optimizer (MFO), Barnacles Mating Optimizer (BMO), Teaching-Learning Based Optimization (TLBO) and Gradient-Based Optimizer (GBO). The usage of HHH solving the OPF problem is tested on the modified IEEE 30 bus system that integrates the thermal generators with the wind power. Findings of the study demonstrated the promising results by HHH which manages to outperform all the selected LLH algorithms.

关键词： ABC artificial bee colony AGPSO GWO autonomous groups particle swarm and grey wolf optimizers ANN artificial neural network BF bacterial foraging BMO Barnacles Mating Optimizer DE differential evolution DG distributed generation EMCQ exponential Monte Carlo with counter FACTS flexible AC transmission system GBO gradient-based optimizer GSA gravitational search algorithm GOA grasshopper optimization algorithm HBO heap-based optimization HHH high level hyper-heuristic IP interior point LLH low-level heuristic LP linear programming MFO moth flame optimization MLAPO modified lightning attachment procedure optimizer NLP non-linear programming NM Nelder–mead OI randomly select-only improving OPF optimal power flow PSO particle swarm optimization PV photovoltaic QP quadratic programming SSA Salp swarm algorithm SHADE success history based adaptive DE SOS symbiotic organisms search SVC static VAR compensator TCPS thyristor-controlled phase shifter TCSC Thyristor-Controlled Series Compensator TLBO teaching-learning-based optimization

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Selective Maintenance for Complex System with multilevel structure 9

Selective Maintenance for Complex System with multilevel str...

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9th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)

作者： Hou Jinxin Qian Yanling Natl Univ Def Technol Coll Informat Syst & Management Changsha 410073 Hunan Peoples R China Natl Univ Def Technol Lab Sci & Technol Integrated Logist Support Changsha 410073 Hunan Peoples R China

ISBN: (纸本)9781509048687

In this paper, we provided a selective maintenance model for complex system with multilevel structure. Our selective maintenance model is so special that we consider the fact when a specific component is maintained so that the subsystems must be removed. We consider that the components have two kind of status, working or failed. We consider three different maintenance actions for the components with different status. The selective maintenance model is formulated as a non-linear programming problem. The objective is to maximum reliability by maintaining part of components of the system in a limited cost. We provided a numerical example to illustrate the effectiveness of the model.

关键词： Selective Maintenance Complex System Multilevel Structure non-linear programming Reliability

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Toward Fair Ride Sharing Platforms: The Role of Regulations and Wait Time 7th

Toward Fair Ride Sharing Platforms: The Role of Regulations ...

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7th International Conference on Logistics Operations Management (GOL)

作者： Malhotra, Ahana Hassini, Elkafi McMaster Univ DeGroote Sch Business Hamilton ON L8S 4L8 Canada

ISBN: (纸本)9783031686337;9783031686344

This paper investigates the impact of the service-time threshold and regulation on minimum hourly wage of driver in the ride-hailing platform. The impact is assessed using a market equilibrium queuing model where passengers' fare and drivers' wages are established by the platform. Numerical analysis and managerial insights are provided which indicated that when a large number of passengers are arriving, the platform should operate with regulations on a low wait-time threshold while prioritizing drivers incentives to incorporate fairness for all the stakeholders of ride hailing platform. Managers, therefore, should strive to attract more passengers and drivers to match supply with demand which mitigates trade-off between objectives of all the stakeholders and also incorporate social welfare.

关键词： fair wages non-linear programming regulations ride-hailing wait-time

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A look at two underutilized methods for optimum structural design

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Engineering Optimization 1987年第1-2期11卷 21-30页

作者： Hajela, Prabhat Department of Engineering Sciences University of Florida Gainesville Florida 32611 United States

The paper presents a closer examination of two infrequently used optimization algorithms, in relation to their applicability in large-scale structural synthesis. The geometric programming approach and the Gauss constrained method are recognized as extremely efficient solution strategies. The former approach reduces the solution of a nonlinearly constrained problem to one with strictly linear constraints, and, under special conditions, to a solution of linear algebraic equations. The Gauss constrained method provides a robust approach for optimum design that does not require a step-size determination, and is thus useful in problems where functional evaluations are computationally demanding. An efficient implementation of these methods for structural synthesis can be attained by a recourse to well-documented approximation concepts. © 1987, Taylor & Francis Group, LLC. All rights reserved.

关键词： design geometric programming large-scale non-linear programming Optimization structures

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Quantum Immune Algorithm and Its Application in Collision Detection

Quantum Immune Algorithm and Its Application in Collision De...

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International Conference on Life System Modeling and Simulation / International Conference on Intelligent Computing for Sustainable Energy and Environment (LSMS-ICSEE)

作者： Wu, Jue Peng, LingXi Chen, LiXue Yang, Lei Guangzhou Univ Coll Comp Sci & Educ Software Guangzhou 510006 Guangdong Peoples R China SouthWest Petr Univ Coll Comp Sci & Technol Chengdu 610500 Sichuan Peoples R China SouthWest Univ Sci & Technol Coll Computer Sci & Technol MianiYang 621010 SiChuan Peoples R China Network & Data Secur Key Lab Sichuan Province Sichuan 611731 Peoples R China

ISBN: (纸本)9783642155963

Collision detection is very important to improve the truth and immersion in the virtual environment. Firstly the paper analyzes the problems that exist in traditional algorithms. There is no algorithm suitable to every situation, and the more complex the situations are, the more rapidly the efficiency declines. Secondly the paper analyses the problem of collision detection in theory, and then converts the problem of the collision detection to the non-linear programming problem with restricted conditions. In this paper, the definition of the distance between two objects and for which the quantum coding is given. Through the steps, such as quantum clone, quantum variation, the problem of collision detection is solved. Finally, the simulation test shows that the quantum-inspired immune algorithm has much more effective impact on solving the extreme-value problem compared to the traditional genetic algorithm. It is feasible to use the algorithm in collision detection.

关键词： collision detection quantum genetic algorithm non-linear programming

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