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Route planning for a mixed delivery system in long distance transportation and comparison with pure delivery systems

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JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS 2016年 291卷 488-496页

作者： Royo, Beatriz Fraile, Alberto Larrode, Emilio Muerza, Victoria Univ Zaragoza Dept Mech Engn Zaragoza 50018 Spain

The long distance routing problems are divided into three kinds of pure delivery systems where every order is allocated the same distribution strategy. Pure delivery systems have been generally, independently and widely studied. This research provides a solution to help pallet and package delivery companies in decision making, considering a mixed delivery system to improve the use of resources. It returns the route planning after allocating to each order the distribution strategy that best fits to the global scene and proves if a mixed delivery system achieves best results than a pure one and under which circumstances. (C) 2015 Elsevier B.V. All rights reserved.

关键词： Mixed delivery system Vehicle routing problem Hub location problem optimization algorithm Metaheuristic methods Less than truckload

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Investigating the optical AND gate using plasmonic nano-spheres

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JOURNAL OF COMPUTATIONAL ELECTRONICS 2016年第1期15卷 295-300页

作者： Kaboli, Milad Akhlaghi, Majid Islamic Azad Univ Omidiyeh Branch Dept Elect & Elect Omidiyeh Iran Islamic Azad Univ Young Researchers & Elite Club Omidiyeh Branch Omidiyeh Iran

In this paper, a coherent perfect absorption (CPA)-type AND gate based on plasmonic nano particles is proposed. It consists of two gold nano sphere arrays on top of two serial arms with quartz substrate. The operation principle is based on the absorbable formation of a conductive path in the dielectric layer of a plasmonic nano-particle waveguide. Since the CPA efficiency depends strongly on the number of gold nano-sphere and the locations of nano-spheres, an efficient binary optimization method based the Particle Swarm optimization (PSO) algorithm is used to design an optimized array of the plasmonic nano-sphere in order to achieve the maximum absorption coefficient in the 'off' state and the minimum absorption coefficient in the 'on' state. In Binary PSO, a group of birds consists a matrix with binary entries, control the presence ('1') or the absence ('0') of nano sphere in the array.

关键词： Optical gate Plasmonic nano particles optimization algorithm

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Reactionless Maneuvering of a Space Robot in Precapture Phase

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JOURNAL OF GUIDANCE CONTROL AND DYNAMICS 2016年第10期39卷 2417-U2423页

作者： James, Francis Shah, Suril V. Singh, Arun K. Krishna, K. Madhava Misra, Arun K. Oregon State Univ Coll Engn Corvallis OR 97330 USA Indian Inst Technol Dept Mech Jodhpur 342011 Rajasthan India Ben Gurion Univ Negev Biomed Robot Lab IL-8410501 Beer Sheva Israel Int Inst Informat Technol Robot Res Ctr Hyderabad 500032 Telangana India McGill Univ Dept Mech Montreal PQ H3A 0C3 Canada

A study presents a method that can be used to capture the target at the specified time while avoiding algorithmic as well as Jacobian singularities for a system that starts from rest. This method can alternatively be used to find a suitable initial configuration for a given desired motion state. It defines initial configuration for a given desired motion state, and the motion state of the robot as the position and velocity of a point on the base along with the joint positions and velocities of the arms. It allows additional constraints such as limits on angles, acceleration, and jerk to be satisfied while avoiding collisions.

关键词： Dual Arm Space Robots Robots Motion Planning Satellites Obstacle Avoidance Terminal Velocity Earth MATLAB optimization algorithm Robotic Manipulation

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Evaluation of TOPLATS on three Mediterranean catchments

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JOURNAL OF HYDROLOGY 2016年 539卷 141-161页

作者： Loizu, Javier Alvarez-Mozos, Jesus Casali, Javier Goni, Mikel Univ Publ Navarra Dept Projects & Rural Engn Pamplona Navarre Spain

Physically based hydrological models are complex tools that provide a complete description of the different processes occurring on a catchment. The TOPMODEL-based Land-Atmosphere Transfer Scheme (TOPLATS) simulates water and energy balances at different time steps, in both lumped and distributed modes. In order to gain insight on the behavior of TOPLATS and its applicability in different conditions a detailed evaluation needs to be carried out. This study aimed to develop a complete evaluation of TOPLATS including: (1) a detailed review of previous research works using this model;(2) a sensitivity analysis (SA) of the model with two contrasted methods (Morris and Sobol) of different complexity;(3) a 4-step calibration strategy based on a multi-start Powell optimization algorithm;and (4) an analysis of the influence of simulation time step (hourly vs. daily). The model was applied on three catchments of varying size (La Tejeria, Cidacos and Arga), located in Navarre (Northern Spain), and characterized by different levels of Mediterranean climate influence. Both Morris and Sobol methods showed very similar results that identified Brooks-Corey Pore Size distribution Index (B), Bubbling pressure (psi(c)) and Hydraulic conductivity decay (f) as the three overall most influential parameters in TOPLATS. After calibration and validation, adequate streamflow simulations were obtained in the two wettest catchments, but the driest (Cidacos) gave poor results in validation, due to the large climatic variability between calibration and validation periods. To overcome this issue, an alternative random and discontinuous method of cal/val period selection was implemented, improving model results. (C) 2016 Elsevier B.V. All rights reserved.

关键词： TOPLATS Sensitivity analysis Morris and Sobol methods Calibration and validation strategies optimization algorithm Hydrological modeling time scale

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Optimal placement and sizing of distributed generations using shuffled bat algorithm with future load enhancement

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INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS 2016年第2期26卷 274-292页

作者： Yammani, Chandrasekhar Maheswarapu, Sydulu Matam, Sailaja Kumari Natl Inst Technol Warangal Andhra Pradesh India

In this paper, a new and efficient hybrid optimization algorithm is proposed for optimal placement and sizing of the distributed generations (DGs). Bus voltage profile improvement, line flow capacity, and active and reactive power loss minimization are considered as multi-objectives to optimize under-distribution load enhancement. The addition of multi-DGs to the distribution system, which is already having DGs, is studied under increased load demand. Renewable energy resources such as wind, solar, fuel cell, and micro turbines are considered in power system modeling for finding the optimal placement and sizing. Current injection-based distribution load is considered in DGs modeling in power systems. Active and reactive losses and voltage profiles are studied for all combinations of DGs. To optimize the objective function, a new optimization technique called shuffled bat algorithm is proposed. The proposed methodology is tested on 38-bus and 69-bus radial distribution systems with 100% and 120% of base load conditions to demonstrate its performance and effectiveness. Results show that the planned methodology is superior to existing strategies in terms of multi-objectives considered. Copyright (c) 2015 John Wiley & Sons, Ltd.

关键词： distributed generation distribution system loading power loss minimization optimization algorithm shuffled bat algorithm

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Binary PSO algorithm assisted to investigate the optical sensor based plasmonic nano-bi-domes

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OPTIK 2016年第19期127卷 7670-7675页

作者： Keshavarzi, Rasul Akhlaghi, Majid Emami, Farzin Shiraz Univ Technol Optoelect Dept Shiraz Iran Islamic Azad Univ Omidiyeh Branch Young Researchers & Elite Club Omidiyeh Iran

In this paper, a coherent perfect absorption (CPA)-type sensor based on plasmonic nano-particle is proposed. It consists of a plasmonic nano bi-domes array on top of a quartz substrate. The refractive index changes above the sensor surface, which is due to the appearance of gas or the absorption of biomolecules, can be detected by measuring the resulting spectral shifts of the absorption coefficient. Since the CPA efficiency depends strongly on the number of plasmonic nano-particles and the nano particles location, binary particle swarm optimization (BPSO) algorithm is used to design an optimized array of the plasmonic nano-bi-domes. This optimized structure should be maximizing the absorption coefficient only in the one frequency. BPSO algorithm, a swarm of birds including a matrix with binary entries responsible for controlling nano-bi-domes in the array, shows the presence with symbol of ('1') and the absence with ('0'). The sensor can be used for sensing both gas and low-refractive-index materials in an aqueous environment. (C) 2016 Elsevier GmbH. All rights reserved.

关键词： Optical sensor Plasmonic nano particles optimization algorithm

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Fuzzy random cost-profit tradeoff location model for a vehicle inspection station with regional constraints

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IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING 2016年第6期11卷 796-803页

作者： Tian, Guangdong Jia, Hongfei Li, Zhongkai Jilin Univ Transportat Coll Changchun 130022 Peoples R China Northeast Forestry Univ Transportat Coll Harbin 150040 Peoples R China China Univ Min & Technol Mechatron Engn Xuzhou 221116 Peoples R China

Transportation facility and automotive service enterprise location is an interesting and important issue. In practice, such factors as customer demand, allocations, even locations of customers and facilities are usually changing, thus making facility location problematic with uncertainty. To account for it, some researchers have addressed stochastic/fuzzy models for locating an automotive service enterprise. However, probabilistic/fuzzy models are not suitable to describe all kinds of uncertainty, but only randomness or fuzziness. In fact, the uncertain environment of locating an automotive service enterprise is a mixed one with both randomness and fuzziness. To handle this issue in a practical manner, this work proposes fuzzy random tradeoff issues for it. Moreover, some regional constraints can greatly influence its location. By taking the vehicle inspection station as a typical example, this work presents new fuzzy random cost-profit tradeoff models of its location problem with regional constraints. A hybrid algorithm integrating fuzzy random simulation and genetic algorithms is adopted to solve the proposed models. Additionally, some risk factors have a great impact on decision making when faced with a location problem. This work thus conducts a risk performance analysis for locating an automotive service enterprise. Some numerical examples are given to illustrate the proposed models. (c) 2016 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

关键词： transportation facility fuzzy random optimization algorithm modeling and simulation

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Binary TLBO algorithm assisted to investigate the supper scattering plasmonic nano tubes

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SUPERLATTICES AND MICROSTRUCTURES 2016年 89卷 26-33页

作者： Balvasi, Mohsen Akhlaghi, Majid Shahmirzaee, Hossein Islamic Azad Univ Omidiyeh Branch Young Researchers & Elite Club Omidiyeh Iran Univ Malek Ashtar Air Ocean Res Ctr Esfahan Iran

One of the most promising plasmonics nano-particle platforms is studying the effect of non-periodic structure of nano-particles on transmitted light. Since properties of transmitted light strongly depend on the localized positions of plasmonic nano particles, a new efficient binary optimization method based on Teaching-Learning-Based optimization (TLBO) algorithm is proposed to design an array of plasmonic nano tubes in order to achieve maximum scattering coefficient spectrum. In binary TLBO (BTLBO), a group of learners consisting of a matrix with binary entries controls the presence ('1') or the absence ('0') of nano tubes in the array. Simulation results show that scattering coefficient strongly depends on the localized position of nano particles and non-periodic structures have more appropriate response in term of scattering coefficient. This approach can be useful in optical applications such as plasmonic nano antenna. (C) 2015 Elsevier Ltd. All rights reserved.

关键词： Optical engineering Plasmonic nano particles optimization algorithm Supper scattering

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Uncertainty Quantification for Short Rendezvous Missions Using a Nonlinear Covariance Propagation Method

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JOURNAL OF GUIDANCE CONTROL AND DYNAMICS 2016年第9期39卷 2170-2178页

作者： Yang, Zhen Luo, Ya-Zhong Zhang, Jin Tang, Guo-Jin Natl Univ Def Technol Coll Aerosp Sci & Engn Changsha 410073 Hunan Peoples R China

A study focuses on answering the two questions encountered in the short rendezvous-phasing mission. To accurately forward propagate the dynamic model uncertainties, initial state uncertainties, and orbital control uncertainties, the spacecraft's dynamic equations are first extended to include the atmospheric density and the J₂ perturbation coefficient. State transition tensors A second-order nonlinear covariance propagation method that can handle uncertainties on initial states, model parameters and orbital controls are developed on the (STTs).

关键词： Earth Earth Centered Inertial optimization algorithm Orbit Determination Gaussian Mixture Models Target Spacecraft Computing International Space Station Earth Orbit Rendezvous Monte Carlo Simulation

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Model predictive control-based efficient energy recovery control strategy for regenerative braking system of hybrid electric bus

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ENERGY CONVERSION AND MANAGEMENT 2016年 111卷 299-314页

作者： Li, Liang Zhang, Yuanbo Yang, Chao Yan, Bingjie Martinez, C. Marina Tsinghua Univ State Key Lab Automot Safety & Energy Beijing 100084 Peoples R China Collaborat Innovat Ctr Elect Vehicles Beijing Beijing 100084 Peoples R China Cranfield Univ Ctr Automot Engn Cranfield MK43 0AL Beds England

As one of the main working modes, the energy recovered with regenerative braking system provides an effective approach so as to greatly improve fuel economy of hybrid electric bus. However, it is still a challenging issue to ensure braking stability while maximizing braking energy recovery. To solve this problem, an efficient energy recovery control strategy is proposed based on the modified nonlinear model predictive control method. Firstly, combined with the characteristics of the compound braking process of single-shaft parallel hybrid electric bus, a 7 degrees of freedom model of the vehicle longitudinal dynamics is built. Secondly, considering nonlinear characteristic of the vehicle model and the efficiency of regenerative braking system, the particle swarm optimization algorithm within the modified nonlinear model predictive control is adopted to optimize the torque distribution between regenerative braking system and pneumatic braking system at the wheels. So as to reduce the computational time of modified nonlinear model predictive control, a nearest point method is employed during the braking process. Finally, the simulation and hardware-in-loop test are carried out on road conditions with different tire-road adhesion coefficients, and the proposed control strategy is verified by comparing it with the conventional control method employed in the baseline vehicle controller. The simulation and hardware-in-loop test results show that the proposed strategy can ensure vehicle safety during emergency braking situation and improve the recovery energy almost 17% compared with the conventional rule-based strategy in the general braking situation. Therefore, the proposed control strategy might offer a theoretical reference for the design of the actual braking controller in engineering practice. (C) 2016 Elsevier Ltd. All rights reserved.

关键词： Energy recovery control Modified nonlinear model predictive control Regenerative braking system Hybrid electric bus optimization algorithm

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