scholarly journals Study on Cargo Products’ Layout Optimization of Truck Railway Line

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Jie Liu ◽  
ShiWei He ◽  
Meng Zhang
Keyword(s):  
Layout Optimization ◽  
Layout Problem ◽  
Service Network ◽  
Numerical Example ◽  
Railway Line ◽  
Important Decision ◽  
Node Splitting ◽  
Optimized Model

Cargo products’ layout is one of the problems that needs an important decision in freight railroads. The purpose of optimization of the cargo products’ layout on railway lines is to make a rational cargo products’ plan to satisfy customers’ diversified transport demands. In this paper, a service network is designed using the method of node splitting. Then, an optimized model is built for the products’ layout problem on busy main railway lines. The immune clone-variable neighborhood algorithm is used to solve the model. Finally, a numerical example is given to verify the model and algorithm. The result shows that the model and algorithm are of good practical applicability.

Applications of Multiple Objective Genetic Algorithms in the Optimization Design of Tracked Self-Moving Power’s Layout

2013 ◽  
Vol 307 ◽  
pp. 161-165
Author(s):  
Hai Jin ◽  
Jin Fa Xie
Keyword(s):  
Optimization Design ◽  
Pareto Front ◽  
Layout Optimization ◽  
Multiple Objective ◽  
Multi Objective Optimization ◽  
Layout Problem ◽  
Basic Principles ◽  
Multi Objective ◽  
Multi Objective Genetic Algorithm ◽  
Set Up

A multi-objective genetic algorithm is applied into the layout optimization of tracked self-moving power. The layout optimization mathematical model was set up. Then introduced the basic principles of NSGA-Ⅱ, which is a Pareto multi-objective optimization algorithm. Finally, NSGA-Ⅱwas presented to solve the layout problem. The algorithm was proved to be effective by some practical examples. The results showed that the algorithm can spread toward the whole Pareto front, and provide many reasonable solutions once for all.

scholarly journals An Evolutionary Multiagent Framework for Multiobjective Optimization

2020 ◽  
Vol 2020 ◽  
pp. 1-18
Author(s):  
Zihui Zhang ◽  
Qiaomei Han ◽  
Yanqiang Li ◽  
Yong Wang ◽  
Yanjun Shi
Keyword(s):  
Genetic Algorithm ◽  
Multiobjective Optimization ◽  
Evolutionary Algorithm ◽  
Layout Optimization ◽  
Layout Problem ◽  
System Decomposition ◽  
System Memory ◽  
Satellite Equipment ◽  
Complete Solutions ◽  
Evolutionary Mode

This article proposes an evolutionary multiagent framework of the co-operative co-evolutionary multiobjective model (CCMO-EMAS), specifically for equipment layout optimization in engineering. In this framework, each agent is set in a multiobjective cooperative co-evolutionary mode along with the algorithms and corresponding settings. In each iteration, agents are executed in turn, and each agent optimizes a subpopulation from system decomposition. Additionally, the collaboration mechanism is addressed to build complete solutions and evaluate individuals in the co-operative co-evolutionary algorithm. Each subpopulation is optimized once, and the corresponding agent is evaluated based on the improvement of the system memory. Moreover, the agent team is also evolved through an elite genetic algorithm. Finally, the proposed CCMO-EMAS framework is verified in a multimodule satellite equipment layout problem.

scholarly journals Optimization Method of Sports Service Network Node Layout Based on Network Communication

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Guang Yin ◽  
Ruiming Qi ◽  
Jinixiang Zhao ◽  
Xiaodong Zhao ◽  
Jingchao Xu
Keyword(s):  
Energy Consumption ◽  
Minimum Energy ◽  
Optimization Method ◽  
Layout Optimization ◽  
Approximate Algorithm ◽  
Communication Process ◽  
Network Communication ◽  
Network Node ◽  
Long Distance ◽  
Service Network

Aiming at the problems of traditional sports service network node layout optimization methods, which have low node coverage, node moving distance, and long distance, a sports service network node layout optimization method based on network communication is proposed. The approximate algorithm is used to calculate the probability that the wireless communication network covers the sports service network node. According to the energy consumption generated by the sports service network node in the communication process and the energy generated by the node transmission data, the energy consumption model is constructed to obtain all the communication nodes of the sports service network. Taking the maximum coverage of the rectangular area of the sports service network communication node and the minimum energy consumption of the node as the optimization goal, the accelerated genetic algorithm is used to construct the objective function to optimize the layout of the sports service network node. The simulation experiment results show that the sports service network node coverage of the proposed method has a wide coverage and a shorter node moving distance, which can effectively extend the life of the sports service network.

scholarly journals Construction and Layout of Coordinated Multirobots System Based on Parallel Thought

2019 ◽  
Vol 2019 ◽  
pp. 1-10
Author(s):  
Wanqiang Xi ◽  
Yaoyao Wang ◽  
Yadong Ding ◽  
Bai Chen
Keyword(s):  
Weight Ratio ◽  
Optimization Method ◽  
Parallel Robot ◽  
Layout Optimization ◽  
Type Synthesis ◽  
Layout Problem ◽  
Bee Colony ◽  
Operational Rule ◽  
Branched Chain ◽  
Definition Of

Aiming at the problems that are the construction and the layout optimization of the coordinated multirobots system, the concept of an equivalent parallel robot (EPR) is proposed based on parallel thought in this paper. That is, each robot is regarded as a branched chain of the EPR in coordination. Thus, it can be converted into the problem for the type synthesis and the layout of the parallel robot. Firstly, the definition of robotic characteristic (C) set and the corresponding operational rule are given. Then, the minimum occupied area, cycle time, and condition number are used as the optimized objectives. The weight ratio is used to express the importance of the three objectives to meet the requirements of different scenes. Afterwards, based on the theory of C set, the three translational (3T) operational requirements that can be extended to other degree of freedom (DOF) are analyzed. Finally, the feasibility of the proposed methods is verified by the DOF analysis and simulation experiment. Moreover, the multiobjective layout problem is optimized based on the artificial bee colony (ABC) algorithm. The results show that the constructed robot combinations and the layout optimization method are satisfactory.

SIMPLIFIED MATHEMATICS FOR MULTIPLE BIOASSAYS

1960 ◽  
Vol XXXV (III) ◽  
pp. 454-468 ◽  
Author(s):  
R. Borth
Keyword(s):  
Parallel Line ◽  
Numerical Example ◽  
Dose Levels

ABSTRACT Gaddum's simplified system of computation for the analysis of biological parallel-line assays is extended to the assay of several unknown preparations simultaneously against the same standard, using up to four dose levels of each preparation. Complete working directions and formulae are provided and illustrated by a numerical example. Limiting conditions are briefly discussed.

Analysis of the electrolytic corrosion in the railway line Albate-Chiasso

2020 ◽  
Author(s):  
Regina Lamedica ◽  
Alessandro Ruvio ◽  
Guido Guidi Buffarini ◽  
Nicola Carones ◽  
Cesare Cianfarani
Keyword(s):  
Railway Line ◽  
Electrolytic Corrosion

The psychology of offering an apology: Understanding the barriers to apologizing and how to overcome them

2017 ◽  
Author(s):  
Karina Schumann
Keyword(s):  
Future Research ◽  
Perceived Threat ◽  
High Quality ◽  
Important Decision ◽  
Self Image

After committing an offense, a transgressor faces an important decision regarding whether and how to apologize to the person who was harmed. The actions he or she chooses to take after committing an offense can have dramatic implications for the victim, the transgressor, and their relationship. Although high quality apologies are extremely effective at promoting reconciliation, transgressors often choose to offer a perfunctory apology, withhold an apology, or respond defensively to the victim. Why might this be? In this article, I propose three major barriers to offering high quality apologies: (1) low concern for the victim or relationship, (2) perceived threat to self-image, and (3) perceived apology ineffectiveness. I review recent research examining how these barriers affect transgressors’ apology behavior, and describe insights this emerging work provides for developing methods to move transgressors towards more reparative behavior. Finally, I discuss important directions for future research.

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