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1. Accelerating a fluvial incision and landscape evolution model with parallelism

Author:
Barnes, Richard
Source:
Geomorphology 2019 v.330 pp. 28-39
ISSN:
0169-555X
Subject:
algorithms,   etc   ; landscapes; models;     Show all 3 Subjects
Abstract:
... Solving inverse problems, performing sensitivity analyses, and achieving statistical rigour in landscape evolution models require running many model realizations. Parallel computation is necessary to achieve this in a reasonable time. However, no previous landscape evolution algorithm is able to leverage modern parallelism. Here, I describe an algorithm that can utilize the parallel potential of G ...
DOI:
10.1016/j.geomorph.2019.01.002

2. Coalitional game theory based local power exchange algorithm for networked microgrids

Author:
Mei, Jie; Chen, Chen; Wang, Jianhui; Kirtley, James L.
Source:
Applied energy 2019 v.239 pp. 133-141
ISSN:
0306-2619
Subject:
algorithms,   etc   ; game theory; trade;     Show all 3 Subjects
Abstract:
... The future distribution network may encompass a large number of microgrids, in which case local networked microgrids can be formed and all the microgrids in the network be connected to the main grid through a distribution sub-station. To improve the efficiency of the entire network rather than focusing on improving the efficiency and reliability of each microgrid, this paper proposes a coalitional ...
DOI:
10.1016/j.apenergy.2019.01.208

3. Interchange objective value method for distributed multi-objective optimization: Theory, application, implementation

Author:
Yin, Linfei; Wang, Tao; Wang, Senlin; Zheng, Baomin
Source:
Applied energy 2019 v.239 pp. 1066-1076
ISSN:
0306-2619
Subject:
algorithms,   etc   ; energy; mathematical models;     Show all 3 Subjects
Abstract:
... An analytic distributed multi-objective optimization algorithm, which is named as interchange objective value method, is proposed for distributed multi-objective optimization problems. The interchange objective value method can be implemented with two types of methods, i.e., interchange unilateral objective value method and interchange bilateral objective value method. To verify the feasibility an ...
DOI:
10.1016/j.apenergy.2019.01.149

4. An effective parallelization algorithm for DEM generalization based on CUDA

Author:
Wu, Qianjiao; Chen, Yumin; Wilson, John P.; Liu, Xuejun; Li, Huifang
Source:
Environmental modelling & software 2019 v.114 pp. 64-74
ISSN:
1364-8152
Subject:
algorithms,   etc   ; landscapes; surface roughness;     Show all 3 Subjects
Abstract:
... An effective parallelization algorithm based on the compute-unified-device-architecture (CUDA) is developed for DEM generalization that is critical to multi-scale terrain analysis. It aims to efficiently retrieve the critical points for generating coarser-resolution DEMs which maximally maintain the significant terrain features. CUDA is embedded into a multi-point algorithm to provide a parallel-m ...
DOI:
10.1016/j.envsoft.2019.01.002

5. Load-responsive model switching estimation for state of charge of lithium-ion batteries

Author:
Tang, Xiaopeng; Gao, Furong; Zou, Changfu; Yao, Ke; Hu, Wengui; Wik, Torsten
Source:
Applied energy 2019 v.238 pp. 423-434
ISSN:
0306-2619
Subject:
algorithms,   etc   ; lithium batteries; models;     Show all 3 Subjects
Abstract:
... Accurately estimating state of charge (SoC) is very important to enable advanced management of lithium-ion batteries, however technical challenges mainly exist in the lack of a high-fidelity battery model whose parameters are sensitive to changes of the state and load condition. To address the problem, this paper explores and proposes a model switching estimation algorithm that online selects the ...
DOI:
10.1016/j.apenergy.2019.01.057

6. Numerical investigations on random close packings of cylindrical particles with different aspect ratios

Author:
Qian, Quan; An, Xizhong; Zhao, Haiyang; Dong, Kejun; Yang, Xiaohong
Source:
Powder technology 2019 v.343 pp. 79-86
ISSN:
0032-5910
Subject:
algorithms,   etc   ; powders; vibration;     Show all 3 Subjects
Abstract:
... Random close packings (RCP) of different shaped cylindrical particles under optimal vibration conditions were numerically reproduced using discrete element method. Corresponding characteristic macro and micro properties such as packing density, coordination number (CN), radial distribution function (RDF), particle orientation, orientation randomness and forces/stresses as a function of particle as ...
DOI:
10.1016/j.powtec.2018.11.014

7. Observations of dense phase pneumatic conveying using an inertial measurement unit

Author:
Lavrinec, A.; Orozovic, O.; Williams, K.; Jones, M.G.; Klinzing, G.; Clark, W.; Wang, Z.
Source:
Powder technology 2019 v.343 pp. 436-444
ISSN:
0032-5910
Subject:
algorithms,   etc   ; pellets; powders;     Show all 3 Subjects
Abstract:
... This paper presents the results of a preliminary investigation utilising an inertial measurement unit (IMU) within horizontal slug flow pneumatic conveying. Challenges of using an IMU within pneumatic conveying were discussed, in particular the importance of sensor fusion. Different sensor fusion algorithms were considered and Madgwick's filter was selected as most appropriate. Two IMUs were simul ...
DOI:
10.1016/j.powtec.2018.11.039

8. Expression of Concern: Assessing the suitability of hybridizing the Cuckoo optimization algorithm with ANN and ANFIS techniques to predict daily evaporation

Author:
Piri, Jamshid; Mohammadi, Kasra; Shamshirband, Shahaboddin; Akib, Shatirah
Source:
Environmental earth sciences 2019 v.78 no.1 pp. 8
ISSN:
1866-6280
Subject:
algorithms,   etc   ; Cuculidae; evaporation;     Show all 3 Subjects
Abstract:
... The Editors-in-Chief of Environmental Earth Sciences are issuing an editorial expression of concern. ...
DOI:
10.1007/s12665-018-7997-y

9. The Cascade Reservoirs Multi-Objective Ecological Operation Optimization Considering Different Ecological Flow Demand

Author:
Yang, Zhe; Yang, Kan; Hu, Hu; Su, Lyuwen
Source:
Water resources management 2019 v.33 no.1 pp. 207-228
ISSN:
0920-4741
Subject:
algorithms,   etc   ; models; power generation;     Show all 3 Subjects
Abstract:
... In order to coordinate the power generation and downstream ecological protection benefits,the optimal ecological scheduling of cascade reservoirs is pivotal. In current paper, an improved chaotic normal cloud shuffling frog leaping algorithm (CNSFLA) based on chaotic initialization, cloud model evolution strategy and heuristic frog activation mechanism is proposed to overcome defects of convention ...
DOI:
10.1007/s11269-018-2097-z

10. Implementation of interactive three-dimensional visualization of air pollutants using WebGL

Author:
Liu, Dongwei; Peng, Jie; Wang, Yanyu; Huang, Meijin; He, Qianshan; Yan, Yafei; Ma, Bingxin; Yue, Caijun; Xie, Ying
Source:
Environmental modelling & software 2019 v.114 pp. 188-194
ISSN:
1364-8152
Subject:
algorithms,   etc   ; air pollutants; air pollution;     Show all 3 Subjects
Abstract:
... The visualization of a three-dimensional (3D) distribution of high-density data for scientific computations with limited computing resources under a network environment is difficult. This paper describes the implementation of an interactive 3D display of air pollutants in a network environment using the open-source WebGL class library, Three. js. A kd-tree is used to find the nearest point data to ...
DOI:
10.1016/j.envsoft.2019.01.019

11. A segmentation method of bagged green apple image

Author:
Lv, Jidong; Wang, Fan; Xu, Liming; Ma, Zhenghua; Yang, Biao
Source:
Scientia horticulturae 2019 v.246 pp. 411-417
ISSN:
0304-4238
Subject:
algorithms,   etc   ; apples; color; fruits; leaves;     Show all 5 Subjects
Abstract:
... Based on the own characteristics of bagged green apple image, the work designed an image segmentation method of bagged green apples which was combined after extraction of the normal light regions and highlighted regions of fruits. The contrast limited adaptive histogram equalization (CLAHE) algorithm was deepened fruit green region and improve edge definition in image, and then the R-B color diffe ...
DOI:
10.1016/j.scienta.2018.11.030

12. Ameliorated grey wolf optimization for economic load dispatch problem

Author:
Singh, Diljinder; Dhillon, J.S.
Source:
Energy 2019 v.169 pp. 398-419
ISSN:
0360-5442
Subject:
algorithms,   etc   ; economic dispatch; electric power;     Show all 3 Subjects
Abstract:
... Owing to no free lunch theorem, meta-heuristic search algorithms, behaviour and performance are different for solving specific class of optimization problems than another. Further, search algorithms are conceptualized of exploration and exploitation aspects. Ameliorated grey wolf optimization algorithm is proposed to solve economic power load dispatch problem that synergizes between exploration an ...
DOI:
10.1016/j.energy.2018.11.034

13. Practical optimal registration of terrestrial LiDAR scan pairs

Author:
Cai, Zhipeng; Chin, Tat-Jun; Bustos, Alvaro Parra; Schindler, Konrad
Source:
ISPRS journal of photogrammetry and remote sensing 2019 v.147 pp. 118-131
ISSN:
0924-2716
Subject:
algorithms,   etc   ; data collection; lidar; scanners;     Show all 4 Subjects
Abstract:
... Point cloud registration is a fundamental problem in 3D scanning. In this paper, we address the frequent special case of registering terrestrial LiDAR scans (or, more generally, levelled point clouds). Many current solutions still rely on the Iterative Closest Point (ICP) method or other heuristic procedures, which require good initializations to succeed and/or provide no guarantees of success. On ...
DOI:
10.1016/j.isprsjprs.2018.11.016

14. RRT-based path planning for an intelligent litchi-picking manipulator

Author:
Cao, Xiaoman; Zou, Xiangjun; Jia, Chunyang; Chen, Mingyou; Zeng, Zeqin
Source:
Computers and electronics in agriculture 2019 v.156 pp. 105-118
ISSN:
0168-1699
Subject:
algorithms,   etc   ; Litchi; gravity; models; planning;     Show all 5 Subjects
Abstract:
... Aiming to realize the obstacle avoidance of the litchi-picking robot in dynamic and unstructured environments, an improved rapidly exploring random tree (RRT) algorithm is presented in this study. By establishing the collision detection model of the manipulator and obstacles, the obstacle avoidance path planning is carried out. The idea of target gravity was adopted to accelerate the path search s ...
DOI:
10.1016/j.compag.2018.10.031

15. The application of 0–1 mixed integer nonlinear programming optimization model based on a surrogate model to identify the groundwater pollution source

Author:
Guo, Jia-yuan; Lu, Wen-xi; Yang, Qing-chun; Miao, Tian-sheng
Source:
Journal of contaminant hydrology 2019 v.220 pp. 18-25
ISSN:
0169-7722
Subject:
algorithms,   etc   ; groundwater contamination; kriging; models;     Show all 4 Subjects
Abstract:
... The optimization model is presently used for the identification of pollution sources and it is based on non-linear programming optimization. The decision variables in this model are continuous, resulting in a weak recognition of integer variables including pollution source location. In addition, as the number of pollution sources increase, so the calculated load increases exponentially and accurac ...
DOI:
10.1016/j.jconhyd.2018.11.005

16. Lossless compression of hyperspectral imagery using a fast adaptive-length-prediction RLS filter

Author:
Song, Jinwei; Zhou, Li; Deng, Chao; An, Junshe
Source:
Remote sensing letters 2019 v.10 no.4 pp. 401-410
ISSN:
2150-7058
Subject:
algorithms,   etc   ; hyperspectral imagery; prediction; remote sensing;     Show all 4 Subjects
Abstract:
... Recursive Least Square (RLS) filter has been applied to real-time lossless compression of hyperspectral imagery and been proved a high performance onboard algorithm. Recent research has revealed that the RLS filter with Adaptive-Length-Prediction (ALP) can significantly improve the compression performance. However, the prediction procedure with numerous bands slows down the run-time and is nearly ...
DOI:
10.1080/2150704X.2018.1562257

17. An improved NSGA-III integrating adaptive elimination strategy to solution of many-objective optimal power flow problems

Author:
Zhang, Jingrui; Wang, Silu; Tang, Qinghui; Zhou, Yulu; Zeng, Tao
Source:
Energy 2019 v.172 pp. 945-957
ISSN:
0360-5442
Subject:
algorithms,   etc   ; electric potential; emissions; energy costs;     Show all 4 Subjects
Abstract:
... This paper formulates the OPF problem as a many-objective OPF (Ma-OPF) problem with consideration of minimizing many objective functions including the total fuel cost (TFC), total emissions (TE), voltage magnitude deviation (VMD), active power loss (APL) and Line-index (L-index) and multiple complicated constraints. An improved NSGA-III (I-NSGA-III) in which an elimination mechanism instead of the ...
DOI:
10.1016/j.energy.2019.02.009

18. Introductory overview: Optimization using evolutionary algorithms and other metaheuristics

Author:
Maier, H.R.; Razavi, S.; Kapelan, Z.; Matott, L.S.; Kasprzyk, J.; Tolson, B.A.
Source:
Environmental modelling & software 2019 v.114 pp. 195-213
ISSN:
1364-8152
Subject:
algorithms,   etc   ; environmental models; issues and policy; planning;     Show all 4 Subjects
Abstract:
... Environmental models are used extensively to evaluate the effectiveness of a range of design, planning, operational, management and policy options. However, the number of options that can be evaluated manually is generally limited, making it difficult to identify the most suitable options to consider in decision-making processes. By linking environmental models with evolutionary and other metaheur ...
DOI:
10.1016/j.envsoft.2018.11.018

19. Optimization of renewable hybrid energy systems – A multi-objective approach

Author:
Eriksson, E.L.V.; Gray, E.MacA.
Source:
Renewable energy 2019 v.133 pp. 971-999
ISSN:
0960-1481
Subject:
algorithms,   etc   ; case studies; renewable energy sources;     Show all 3 Subjects
Abstract:
... For a successful transition to a renewable energy economy, optimisation of renewable energy systems must evolve to take into account not only technical and/or economic objectives, but also environmental and socio-political objectives. A Normalised Weighted Constrained Multi-Objective (NWCMO) meta-heuristic optimisation algorithm has been proposed for achieving a compromise between mutually conflic ...
DOI:
10.1016/j.renene.2018.10.053

20. Hydrogen saving through optimized control of both fueling flows of the Fuel Cell Hybrid Power System under a variable load demand and an unknown renewable power profile

Author:
Bizon, Nicu; Hoarcă, Ioan Cristian
Source:
Energy conversion and management 2019 v.184 pp. 1-14
ISSN:
0196-8904
Subject:
algorithms,   etc   ; energy; fuel cells; hydrogen; uncertainty;     Show all 5 Subjects
Abstract:
... A new Energy Management Strategy to save hydrogen is proposed for the Hybrid Power Systems based on Renewable Energies Sources and Proton Exchange Membrane Fuel Cell system used as additional energy sources and backup energy source, respectively. The Power Following control of the Fuel Cell boost converter compensates the requested power on the DC bus in order to mitigate the DC power dynamics due ...
DOI:
10.1016/j.enconman.2019.01.024