scholarly journals Urban sensing as a random search process

2021 ◽  
Vol 562 ◽  
pp. 125307
Author(s):  
Kevin O’Keeffe ◽  
Paolo Santi ◽  
Brandon Wang ◽  
Carlo Ratti
Keyword(s):  
Random Search ◽  
Search Process ◽  
Urban Sensing

scholarly journals Effective scanning of parameter space in a Desktop Grid for identification of a hydride decomposition model

2018 ◽  
Vol 9 (4) ◽  
pp. 53-68
Author(s):  
Ilya Aleksandrovich Chernov ◽  
Natalia Nikolaevna Nikitina
Keyword(s):  
Parameter Identification ◽  
Grid Computing ◽  
Parameter Space ◽  
Random Search ◽  
Additional Cost ◽  
Search Process ◽  
Desktop Grid ◽  
Decomposition Model

We consider parameter identification of a hydride decomposition model by scanning the parameter space in parallel. Such problem is resource demanding, but suits best for Desktop Grid computing. Considering task retrieval as a game, we show that the search process can be improved to produce solutions faster in comparison with random search, with no or minor additional cost.

Genetic Algorithms as Global Random Search Methods: An Alternative Perspective

1995 ◽  
Vol 3 (1) ◽  
pp. 39-80 ◽  
Author(s):  
Charles C. Peck ◽  
Atam P. Dhawan
Keyword(s):  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Random Search ◽  
Schema Theory ◽  
Global Optimum ◽  
Global Search ◽  
Search Process ◽  
Sampling Distributions ◽  
Alternative Perspective ◽  
Global Random Search

Genetic algorithm behavior is described in terms of the construction and evolution of the sampling distributions over the space of candidate solutions. This novel perspective is motivated by analysis indicating that the schema theory is inadequate for completely and properly explaining genetic algorithm behavior. Based on the proposed theory, it is argued that the similarities of candidate solutions should be exploited directly, rather than encoding candidate solutions and then exploiting their similarities. Proportional selection is characterized as a global search operator, and recombination is characterized as the search process that exploits similarities. Sequential algorithms and many deletion methods are also analyzed. It is shown that by properly constraining the search breadth of recombination operators, convergence of genetic algorithms to a global optimum can be ensured.

Evaluating Recommender Systems

2021 ◽  
Vol 17 (2) ◽  
pp. 25-45
Author(s):  
Alaa Alslaity ◽  
Thomas Tran
Keyword(s):  
Recommender Systems ◽  
Quantitative Study ◽  
Random Search ◽  
Evaluation Methods ◽  
Search Process ◽  
Manual Search ◽  
Theoretical Side

Replicating the results of the recommender system's evaluation is one of the main concerns in the area. This paper discusses this issue from different angles: 1) It investigates the uniformity of recommenders' evaluation designs presented in practice and their consistency with the theoretical side. 2) It highlights some of the issues and challenges that face recommenders' evaluators. 3) It provides stepwise guidelines for offline evaluation settings. A quantitative study of articles published in the last decade is studied. The search process is a manual search for a conference and a random search of journals. The results show a lack of uniformity and consistency in presenting the evaluation methods. Most of the articles miss at least one evaluation aspect (i.e., some aspects are not presented in the article). These discrepancies and the wide variety of evaluation settings lead to non-replicable experiments. To mitigate this issue, the paper proposes the recommender evaluation guidelines (REval), which presents a roadmap for recommender systems' evaluators.

scholarly journals Evaluation of Neural Architecture Search Approaches for Offshore Platform Offset Prediction

2021 ◽  
Author(s):  
Tomaz M. Suller ◽  
Eric O. Gomes ◽  
Henrique B. Oliveira ◽  
Lucas P. Cotrim ◽  
Amir M. Sa’ad ◽  
...  
Keyword(s):  
Simulated Annealing ◽  
Comparative Study ◽  
Random Search ◽  
Center Of Gravity ◽  
Offshore Platform ◽  
Bayesian Optimization ◽  
Optimization Process ◽  
Search Process ◽  
Multi Layer Perceptron ◽  
Neural Architecture

This paper proposes a solution based on Multi-Layer Perceptron (MLP) to predict the offset of the center of gravity of an offshore platform. It also performs a comparative study with three optimization algorithms – Random Search, Simulated Annealing, and Bayesian Optimization (BO) – to find the best MLP architecture. Although BO obtained the best architecture in the shortest time, ablation studies developed in this paper with hyperparameters of the optimization process showed that the result is sensitive to them and deserves attention in the Neural Architecture Search process.

Items Searching in Factory Warehouse Using Arduino Module

2019 ◽  
Vol 1 (1) ◽  
pp. 1-14
Author(s):  
Tan Liong Ching ◽  
Nureize Binti Arbaiy
Keyword(s):  
Inventory Management ◽  
Liquid Crystal Display ◽  
Light Emitting Diode ◽  
Storage System ◽  
Voice Recognition ◽  
Inventory System ◽  
Search Process ◽  
Light Emitting ◽  
Recognition Function ◽  
Light Function

The smart store system (F3 Storage System) provides an inventory system function, and is supported by voice recognition for items searching purpose in the warehouse. This system is aimed to improve effectiveness in item searching process for the warehouse management. An inventory system structures is employed in this system to enable items management. Voice recognition facility helps the worker to search item in an effective way. Worker can use voice recognition function to search the item in the warehouse, and searched information of the item will be displayed in the liquid crystal display (LCD) screen. Meanwhile, the location of the item will be physically indicated by the light emitting diode (LED) light function. The developed system also contains a barcode system to enhance the process of scheduling warehouse activity. Such facilities will enhance the capabilities of existing inventory management systems in warehouses. Prototyping model is used to assist project development. Arduino technology is used to enable integrated hardware and software to read data or input. With Arduino technology, traditional search items by using text and search functionality are enhanced to allow speech functionality. This functionality makes the search process faster and more efficient.

Shuffle-Selective-Search Process for Mitigation of APTs with IKC

2019 ◽  
Author(s):  
Abdul Khadar A ◽  
Dr. Shrishail Math ◽  
H. Srinivasa Murthy
Keyword(s):  
Search Process ◽  
Selective Search
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