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Recent Advances in Computational optimization: Results of the workshop on Computational optimization WCO 2016

2017年

作者： Stefka Stoyanova Fidanova

ISBN: (纸本)9783319598604

This book presents new optimization approaches and methods and their application in real-world and industrial problems, and demonstrates how many of the problems arising in engineering, economics and other domains can be formulated as optimization problems. Constituting a comprehensive collection of extended contributions from the 9th international workshop on Computational optimization (WCO) held in Gdansk, Poland, September 1114, 2016, the book discusses important applications such as job scheduling, wildfire modeling, parameter settings for controlling different processes, capital budgeting, data mining, finding the location of sensors in a given network, identifying the conformation of molecules, algorithm correctness, decision support system, and computer memory management. Further, it shows how to develop algorithms for these based on new intelligent methods like evolutionary computations, ant colony optimization and constraint programming. The book is a valuable resource for researchers and practitioners alike.

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An ETL services framework based on metadata

An ETL services framework based on metadata

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2nd international workshop on Intelligent Systems and applications, ISA2010

作者： Wang, Huamin Ye, Zhiwei International School of Software Wuhan University Wuhan 430079 China School of Computer Science Hubei University of Technology Wuhan 430068 China

ISBN: (纸本)9781424458745

This paper first analyzed the problems of existing ETL tools, and proposed an ETL service model based on metadata, and then summarizes the types of metadata and their application scope. Based on this ETL service model, a concrete ETL service framework was put forward;many important services were also discussed, such as metadata management service, metadata definition services, ETL transformation rules service, process definition service, SQL code generation and optimization services, process control services and so on. At last, definition method and related algorithms of ETL rules are designed and analyzed. Practice has proved that the model and framework proposed in this paper can improve the ETL efficiency to a large extent. ©2010 IEEE.

关键词： Metadata

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Generation of energy-efficient architecture solutions applying GENE_ARCH: An evolution-based generative design system

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ADVANCED ENGINEERING INFORMATICS 2008年第1期22卷 59-70页

作者： Caldas, Luisa Univ Tecn Lisboa Inst Super Tecn Dept Civil Engn & Architecture ICIST Lisbon Portugal

As the field of design automation and generative design systems (GDS) evolve, more emphasis is placed on issues of design evaluation. This paper focus on the presentation of different applications of GENE ARCH, an evolution-based GDS aimed at helping architects to achieve energy-efficient and sustainable architectural solutions. The system applies goal-oriented design, combining a genetic algorithm (GA) as the search engine, with the DOE2. 1E building energy simulation software as the evaluation module. Design evaluation is based on energy spent for heating, cooling, ventilation and artificial lighting in the building, and on sustainability issues like greenhouse gas emissions associated with the embodied energy of construction materials. The GA can work either as a standard GA or as a Pareto GA, for multicriteria search and optimization. In order to provide a broad view of the capabilities of the software, different applications are discussed: (1) standard GA: testing and validating the software;(2) standard GA: incorporation of architecture design intentions, using a building by architect Alvaro Siza;(3) Pareto GA: choice of construction materials, considering cost, building energy use, and embodied energy;(4) Pareto GA: application to Siza's building, considering thermal and lighting behavior separately;(5) standard GA:shape generation with single objective function;(6) Pareto GA: shape generation with multicriteria, evaluation;(7) Pareto GA: application to an urban and housing context. Overall conclusions from the different applications are discussed, as well as current challenges and limitations, and directions for further work. (C) 2007 Elsevier Ltd. All rights reserved.

关键词： genetic algorithms generative design systems Pareto multicriteria optimization design automation sustainable construction bioclimatic architecture energy efficiency embodied energy life-cycle analysis

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Algorithmic Foundations of Robotics VIII 2010

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丛书名： Springer Tracts in Advanced Robotics

2010年

作者： Gregory S. Chirikjian Howie Choset Marco Morales Todd Murphey

ISBN: (数字)9783642003127

ISBN: (纸本)9783642003110

This volume is the outcome of the eighth edition of the biennial workshop Algorithmic Foundations of Robotics (WAFR). Edited by G. Chirikjian, H. Choset, M. Morales and T. Murphey, the book offers a collection of a wide range of topics in advanced robotics, including networked robots, distributed systems, manipulation, planning under uncertainty, minimalism, geometric sensing, geometric computation, stochastic planning methods, and medical applications. The contents of the forty-two contributions represent a cross-section of the current state of research from one particular aspect: algorithms, and how they are inspired by classical disciplines, such as discrete and computational geometry, differential geometry, mechanics, optimization, operations research, computer science, probability and statistics, and information theory. Validation of algorithms, design concepts, or techniques is the common thread running through this focused collection. Richin topics and authoritative contributors,WAFR culminates with this unique reference on the current developments and new directions in the field of algorithmic foundations.

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Research on Web text clustering based on DBSCAN optimization algorithm 6

Research on Web text clustering based on DBSCAN optimization...

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6th international workshop on Advanced algorithms and Control Engineering, IWAACE 2022

作者： Liu, Zhiwei Yang, Yan Department of Games Software Engineering Institute of Guangzhou Guangzhou510990 China

ISBN: (纸本)9781510657755

As the amount of information on the Web continues to expand, the way people access information has also changed. Instead of searching for information in paper books or libraries, people are now searching for relevant information on the Web. However, the amount of data on the Web is so large that it is almost impossible to construct an effective data warehouse to replicate, store and integrate all the data on the Web, and there is neither a unified category code nor an effective organisation of indexing in such a large collection of data, which makes content management and information filtering on the Web increasingly difficult and important. In traditional Web applications there are a large number of redundant words, syntax and other problems that make it impossible to use computers to extract useful information accurately and efficiently, so how to effectively use the available resources is one of the urgent and pressing issues that need to be addressed. Therefore, this paper explores Web text clustering based on the DBSCAN optimization algorithm. © 2022 SPIE.

关键词： Cluster analysis

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An Image Enhancement optimization Method Based on Differential Evolution Algorithm and Cuckoo Search Through Serial Coupled Mode 10

An Image Enhancement Optimization Method Based on Differenti...

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10th IEEE international Conference on Intelligent Data Acquisition and Advanced Computing Systems - Technology and applications (IDAACS)

作者： Ye, Zhiwei Cao, Ye Zhang, Aixin Jin, Can Ma, Lie Hu, Xiang Hu, Jiwei Hubei Univ Technol Wuhan Peoples R China Wuhan Jizhi Technol Co LTD Wuhan Peoples R China Wuhan Fiberhome Tech Serv Co Ltd Wuhan 430074 Hubei Peoples R China

ISBN: (纸本)9781728140681

Image enhancement based on Beta function is a widely used method for it is able to fit multiple transformation curves, which is a significant step for image analysis. The key step for the method is to find the appropriate parameters to determine the grayscale transformation function. However, it needs a lot of time to seek applicable parameters when enumeration is used and random optimization algorithms often have failures within a limited time and are prone to fall into the local optimum. In order to solve the problems a serial coupled mode of stochastic optimization algorithms is investigated in the paper. According to the model, the differential evolution algorithm and cuckoo search algorithm are tried in image enhancement through serial coupling mode and compared with the traditional optimization algorithm. The experimental results reveals that the proposed approach is feasible and the performance is more balanced, which has a good performance on the image enhancement.

关键词： Image Enhancement Hybrid algorithm Differential Evolution Algorithm Cuckoo search Algorithm

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optimization of the Hausdorff distance between convex polyhedrons in R3 16

Optimization of the Hausdorff distance between convex polyhe...

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16th IFAC workshop on Control applications of optimization, CAO 2015

作者： Ushakov, V.N. Lebedev, P.D. Tarasyev, A.M. Ushakov, A.V. Institute of Mathematics and Mechanics Named after N.N. Krasovskii Ural Branch of the Russian Academy of Sciences S. Kovalevskaya str. 16 Yekaterinburg620990 Russia Ural Federal University Named after B.N. Yeltsin Mira str. 19 620002 Russia

In this article, approximation of sets is under consideration using convex polyhedrons in the three dimensional Euclidean space. In the problem statement, it is necessary to find such disposition of two given polyhedrons A and B that the Hausdorff distance between them obtains the minimal value. Elements of convex analysis, non-smooth analysis, and numerical geometry are used for construction numerical algorithms solving this problem. Numerical algorithms are implemented in the software whose efficiency is demonstrated in applications. © 2015, IFAC Hosting by Elsevier Ltd.

关键词： Geometry

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REVISITING THE JOHNSON ALGORITHM FOR FLOWSHOP SCHEDULING WITH GENETIC algorithms

REVISITING THE JOHNSON ALGORITHM FOR FLOWSHOP SCHEDULING WIT...

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IFIP TC5/WG5.7 international workshop on Knowledge-Based Reactive Scheduling

作者： MULKENS, H

ISBN: (纸本)0444818146

The Johnson algorithm is well known for computing an optimized job schedule for a sequence of 2 or 3 machines. However, only heuristic techniques may be applied for more than 3 machines. Among those, new iteratives techniques like genetic algorithms (GA) have proven to be efficient. It is shown here that those techniques may even be better than the Johnson algorithm, for 2 and 3 machines case, due to the numerous equivalent solutions they give to the scheduling problem, hence permitting to take into account other optimisation factors, like the average time in queue. A comparison is also made with the multimachine flow shop CDS and NEH heuristics.

关键词： NUMERICAL ANALYSIS, optimization ARTIFICIAL INTELLIGENCE, PROBLEM SOLVING SIMULATION AND MODELING, applications

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Approximation, Randomization and Combinatorial optimization. algorithms and Techniques 1

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丛书名： Lecture Notes in Computer Science

1000年

ISBN: (数字)9783540853633

ISBN: (纸本)9783540853626

This volume contains the papers presented at the 11th international Wo- shop on Approximation algorithms for Combinatorial optimization Problems (APPROX 2008) and the 12th international workshop on Randomization and Computation (RANDOM 2008), which took place concurrently at the MIT (M- sachusetts Institute of Technology) in Boston, USA, during August 25–27, 2008. APPROX focuses on algorithmic and complexity issues surrounding the development of e?cient approximate solutions to computationally di?cult problems, and was the 11th in the series after Aalborg (1998), Berkeley (1999), Saarbru ¨cken (2000), Berkeley (2001), Rome (2002), Princeton (2003), Cambridge (2004), Berkeley (2005), Barcelona (2006), and Princeton (2007). RANDOM is concerned with applications of randomness to computational and combinatorial problems, and was the 12th workshop in the series following Bologna (1997), Barcelona (1998), Berkeley (1999), Geneva (2000), Berkeley (2001), Harvard (2002), Princeton (2003), Cambridge (2004), Berkeley (2005), Barcelona (2006), and Princeton (2007). Topics of interest for APPROX and RANDOM are: design and analysis of - proximation algorithms, hardness of approximation, small space, sub-linear time, streaming, algorithms, embeddings and metric space methods, mathematical programming methods, combinatorial problems in graphs and networks, game t- ory, markets, economic applications, geometric problems, packing, covering, scheduling, approximate learning, design and analysis of randomized algorithms, randomized complexity theory, pseudorandomness and derandomization, random combinatorial structures, random walks/Markov chains, expander graphs and randomness extractors, probabilistic proof systems, random projections and - beddings, error-correcting codes,average-case analysis, property testing, com- tational learning theory, and other applications of approximation and randomness.

关键词： Programming Techniques Theory of Computation Algorithm Analysis and Problem Complexity Discrete Mathematics in Computer Science Numeric Computing

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Simultaneous determination of thickness, thermal conductivity and porosity in textile material design

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JOURNAL OF INVERSE AND ILL-POSED PROBLEMS 2016年第1期24卷 59-66页

作者： Xu, Dinghua Cui, Peng Zhejiang Sci Tech Univ Engn Res Ctr Clothing Zhejiang Prov Hangzhou 310018 Zhejiang Peoples R China Zhejiang Sci Tech Univ Coll Sci Dept Math Hangzhou 310018 Zhejiang Peoples R China

The thickness, thermal conductivity and porosity of textile material are three key factors which determine the heat-moisture comfort level of the human body to a large extent based on the heat and moisture transfer process in the human body-clothing-environment system. This paper puts forward an Inverse Problem of Textile Thickness-Heat conductivity-Porosity Determination (IPT(THP)D) based on the steady-state model of heat and moisture transfer and the heat-moisture comfort indexes. Adopting the idea of the weighted least-squares method, we formulate IPT(THP) D into a function minimization problem. We employ the Particle Swarm optimization (PSO) method to stochastically search the optimal solution of the objective function. We put the optimal solution into the corresponding direct problem to verify the effectiveness of the proposed numerical algorithms and the validity of the IPT(THP)D.

关键词： Inverse problems textile material heat and moisture transfer particle swarm optimization thickness-heat conductivity-porosity determination weighted least-squares solution

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