scholarly journals Development of a Land Transportation Recommendation System Using the Hill Climbing Algorithm

2020 ◽  
Vol 1 (1) ◽  
pp. 7
Author(s):  
Eka Surya Aditya ◽  
Wikan Danar Sunindyo
Keyword(s):  
Public Transportation ◽  
Recommendation System ◽  
Hill Climbing ◽  
The Public ◽  
Hill Climbing Algorithm ◽  
Time Space ◽  
The Right ◽  
Available Information ◽  
Hill Climbing Algorithms ◽  
The Hill

Communities in big cities often encounter problems in using public transportation due to difficulties in accessing available information. The information is not well integrated and scattered in various places. For this reason, an information and recommendation system is needed to facilitate the public in choosing the right mode of land transportation. The recommendation system can be built using the Hill Climbing algorithm. In this paper, I explain the development of a public land transportation recommendation system using three types of Hill Climbing Algorithms. The results of the recommendations are analyzed based on the complexity of asymptotic time, space complexity, and the quality of the results.

The Optimization Method to Transfer Bus Routes for Rail Transit Terminal Station

2012 ◽  
Vol 253-255 ◽  
pp. 1869-1875
Author(s):  
Sheng Zhang ◽  
Wu Sheng Liu
Keyword(s):  
Genetic Algorithm ◽  
Hybrid Genetic Algorithm ◽  
Optimization Method ◽  
Hill Climbing ◽  
Rail Transit ◽  
Hill Climbing Algorithm ◽  
Variation Rate ◽  
Encoding Method ◽  
The Hill ◽  
Terminal Station

The optimization model is framed with a goal to minimize overall consumption of travel time for passengers. A variety of constrains are considered, including time, capacity, stop number, profit and so on. According to the features of the model, the hill-climbing algorithm is adopted to obtain the initial solution, which reduces the time of optimization. Meanwhile, direct order encoding method, namely node method, is introduced for encoding, construct a Hybrid Genetic Algorithm for the solution. The results show that adapter value is more steady and the model result is preferable when the variation rate is increased while the number of iteration is decreased.

scholarly journals Optimal Identification and Metaheuristic PID Control of a Two-Tank System

Electronics ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 1101
Author(s):  
Dan Stefanoiu ◽  
Janetta Culita
Keyword(s):  
Process Model ◽  
Robustness Analysis ◽  
Hill Climbing ◽  
Tuning Parameters ◽  
Hill Climbing Algorithm ◽  
Optimal Controllers ◽  
Tank System ◽  
Bounded Error ◽  
The Hill ◽  
Modern Optimization

In the modern optimization context, this paper introduces an optimal PID-based control strategy for a two-tank installation, namely ASTANK2. The process model was identified by using raw and spline smoothed measured data, respectively. Two PID controller configurations, a standard (regular) one (PID-R) and a non-standard one (PID-N), were considered for each type of model, resulting in four regulators. The optimal tuning parameters of each regulator were obtained by a searching approach relying on a combination of two metaheuristics. Firstly, an improved version of the Hill Climbing algorithm was employed to comprehensively explore the searching space, aiming to find fairly accurate tuning parameters. Secondly, an improved version of the Firefly Algorithm was proposed to intensively refine the search around the previously found optimal parameters. A comparative analysis between the four controllers was achieved in terms of performance and robustness. The simulation results showed that all optimal controllers yielded good performance in the presence of exogenous stochastic noise (bounded error tracking, setpoint tracking, reduced overshoot, short settling time). Robustness analysis is extensive and illustrates that the PID-R controllers are more robust to model uncertainties, whilst PID-N controllers are more robust to tracking staircase type references.

scholarly journals Assessment of highway infrastructure projects in Latin America and Perú from the competences point of view

2017 ◽  
Vol 9 (1) ◽  
pp. 1537-1546
Author(s):  
Germán Gallardo Zevallos ◽  
Tatiana Machicao ◽  
María Josée Martínez-Echevarría Romero
Keyword(s):  
Latin America ◽  
Public Sector ◽  
Public Transportation ◽  
Project Managers ◽  
Point Of View ◽  
Infrastructure Projects ◽  
The Public ◽  
Development Scenarios ◽  
The Right

AbstractIt is stressed that Latin America and Perú should become more competitive. Under the actual development scenarios, attention to competences of programme managers and project managers related to public transportation infrastructure projects has risen substantially.An inefficient bureaucratic system is related with deficiencies of people skills and competences. On the other hand, an excellent system demands quality of the system and quality of people working in it.Thus, it is important to have excellence in administration and excellent administrators in the public sector. Three main lacking elements have been identified: i) lack of good education; ii) absence of fair salaries in the public sector; and iii) lack of incentives. Many misconceptions and disputed consequences have been observed and analyzed. It is clear that there is lack of competence among infrastructure transport project managers and teams, which causes trouble with the main goal of Peru getting benefits from these investments and achieving sustainable development. Furthermore, the right way to achieve these benefits is through a new model of education for project managers and programme managers in Perú. This education should be based more on competences than on qualifications. Thus, the International Project Management Association (IPMA) competence baseline, which is the standard that best fits to these needs, needs to be implemented to achieve the real contribution and benefits of these projects to society.

Smooth gait optimization of a fish robot using the genetic-hill climbing algorithm

Robotica ◽  
2011 ◽  
Vol 30 (2) ◽  
pp. 257-278 ◽  
Author(s):  
Tuong Quan Vo ◽  
Hyoung Seok Kim ◽  
Byung Ryong Lee
Keyword(s):  
Genetic Algorithm ◽  
Hill Climbing ◽  
Optimal Parameters ◽  
Fish Robot ◽  
Hill Climbing Algorithm ◽  
Smooth Motion ◽  
Simulation Results ◽  
The Hill ◽  
Gait Optimization ◽  
Input Torque

SUMMARYThis paper presents a model of a three-joint (four links) carangiform fish robot. The smooth gait or smooth motion of a fish robot is optimized by using a combination of the Genetic Algorithm (GA) and the Hill Climbing Algorithm (HCA) with respect to its dynamic system. Genetic algorithm is used to create an initial set of optimal parameters for the two input torque functions of the system. This set is then optimized by using HCA to ensure that the final set of optimal parameters is a “near” global optimization result. Finally, the simulation results are presented in order to demonstrate that the proposed method is effective.

Low Side Lobe On-chip Two Dimensional Optical Phased Array Based on the Hill Climbing Algorithm

2018 ◽  
Vol 47 (9) ◽  
pp. 913001
Author(s):  
杜书剑 DU Shu-jian ◽  
章羚璇 ZHANG Ling-xuan ◽  
王国玺 WANG Guo-xi ◽  
李中宇 LI Zhong-yu ◽  
张其浩 ZHANG Qi-hao ◽  
...  
Keyword(s):  
Phased Array ◽  
Side Lobe ◽  
Hill Climbing ◽  
Two Dimensional ◽  
Hill Climbing Algorithm ◽  
Optical Phased Array ◽  
On Chip ◽  
The Hill

Automatic Isotherm Derivation From Field Data for Oilfield Scale-Inhibitor Squeeze Treatments

SPE Journal ◽  
2013 ◽  
Vol 18 (03) ◽  
pp. 563-574 ◽  
Author(s):  
Oscar Vazquez ◽  
David Corne ◽  
Eric James Mackay ◽  
Myles Martin Jordan
Keyword(s):  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Analytic Form ◽  
Hill Climbing ◽  
Trial And Error ◽  
Scale Inhibitor ◽  
Gas Industry ◽  
Isotherm Equation ◽  
Hill Climbing Algorithm ◽  
The Hill

Summary Oilfield scale formation represents a significant flow-assurance challenge to the oil and gas industry, because of increasing water production worldwide and higher oil prices. Scale-inhibitor (SI) squeeze treatment is the most widespread method to combat downhole scaling. To predict SI squeeze treatments accurately for further optimization, it is necessary to simulate the SI retention in the formation, which may be described by a pseudoadsorption isotherm. Although these are often derived from coreflood experiments, sometimes they are not appropriate for modeling well treatments because the core tests on which they are based cannot fully represent field-scale processes. In practice, the parameters of an analytic form of the isotherm equation are modified by trial and error by an experienced practitioner until a match is obtained between the prediction and the return profile of the first treatment in the field. The main purpose of this paper is to present a stochastic hill-climbing algorithm for automatic isotherm derivation. The performance of the algorithm was evaluated by use of data from three field cases. Two success criteria were defined: the ability to match a single historical treatment and the ability to predict subsequent successive treatments. To test for the second criterion, a candidate isotherm was derived from the first treatment in a well that was treated with the same chemical package on consecutive occasions, and then the predictions by use of the suggested solution were compared with the observed SI concentration-return profiles from the subsequent treatments. In all the calculations, the performances of both the isotherms suggested by the hill-climbing algorithm and the isotherms derived by trial and error were compared. The results demonstrate that the hill-climbing algorithm is an effective technique for deriving an isotherm for a single treatment, although predictions for successive treatments worsened slightly with each treatment.

scholarly journals Downsizing Strategy for Cars, Beijing for People Not for Cars: Planning for People

2017 ◽  
Vol 46 (1) ◽  
pp. 50 ◽  
Author(s):  
Asim Farooq ◽  
Mowen Xie ◽  
Edward J. Williams ◽  
Vimal Kr. Gahlot ◽  
Du Yan ◽  
...  
Keyword(s):  
Urban Planning ◽  
Human Body ◽  
Public Transportation ◽  
Traffic Congestion ◽  
Chinese Cities ◽  
The Public ◽  
Small Block ◽  
Mixed Use ◽  
The Right ◽  
The City

Beijing, the capital of China, is increasing enormously relative to its economy, pollution, population and dependency on private vehicles. Most of the Chinese cities are built and being built as a car-centric city. Six million cars are registered in Beijing, and with passage of time the attraction of private vehicles increases. Increasing in infrastructure the selection towards private vehicle is boosting. Municipality of Beijing is busy to use the conventional ways to solve the congestion problem rather than the smart solution, what megacities need to adopt. Beijing is second-worst in length of communing time.   This paper addresses the traffic congestion problem in the central part of the Beijing by using “Mixed Use Small Block Concept”, where the network of roads spreads like veins in a human body, and the accessibility around center is dependent on vehicle. The aim is to recover the areas from cars and give it to residential and improve their accessibility by changing the mode of travel from car to walking and cycling, and provide clear boundaries and redesign the area by using Small Block Mixed use concept. Combining the public transportation, urban planning design and Non-Motorized Transportation priority will lead the city towards livability.The right to access every building in the city by private motorcars actually the right to destroy the city.” Mumford.

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