2011 11th International Conference on Intelligent Systems Design and Applications最新文献_第6页

A cooperative strategy for parameter estimation problems in Systems Biology: Preliminary results 系统生物学参数估计问题的合作策略:初步结果

2011 11th International Conference on Intelligent Systems Design and Applications Pub Date : 2011-11-01 DOI: 10.1109/ISDA.2011.6121823

A. Masegosa, Federico Rutolo, D. Pelta

引用次数: 0

Object detection in non-stationary video surveillance for an autonomous vehicle 自动驾驶汽车非静止视频监控中的目标检测

2011 11th International Conference on Intelligent Systems Design and Applications Pub Date : 2011-11-01 DOI: 10.1109/ISDA.2011.6121736

Néstor Morales, J. Toledo, L. Acosta

引用次数: 7

Finding promoter profiles with multiobjective identification of cis-regulatory modules based on constraints 基于约束的顺式调控模块的多目标识别寻找启动子配置文件

2011 11th International Conference on Intelligent Systems Design and Applications Pub Date : 2011-11-01 DOI: 10.1109/ISDA.2011.6121826

R. Romero-Záliz, J. Arnedo-Fdez, I. Zwir, C. Val

引用次数: 0

A sequantial distributed approach for the joint scheduling of jobs and maintenance operations in the flowshop sequencing problem 流水车间排序问题中作业和维修作业联合调度的一种顺序分布式方法

2011 11th International Conference on Intelligent Systems Design and Applications Pub Date : 2011-11-01 DOI: 10.1109/ISDA.2011.6121692

S. Khelifati, F. Benbouzid-Sitayeb

{"title":"A sequantial distributed approach for the joint scheduling of jobs and maintenance operations in the flowshop sequencing problem","authors":"S. Khelifati, F. Benbouzid-Sitayeb","doi":"10.1109/ISDA.2011.6121692","DOIUrl":"https://doi.org/10.1109/ISDA.2011.6121692","url":null,"abstract":"Many works refer to the scheduling problem of both preventive maintenance and production activities. Few works concern the dynamic scheduling problem of these two activities. This aspect is mainly concerned by corrective maintenance activities (equipment failure). In this regard, we propose a distributed approach using multi-agent paradigm for scheduling independent jobs and maintenance operations in the flowshop sequencing problem. The proposed multi-agent system introduces a dialogue between two communities of agents (production and maintenance) based on a two-step sequential strategy: first scheduling the production jobs then inserting the preventive maintenance operations, taking the production schedule as a mandatory constraint, to generate a joint production and maintenance schedule. The objective is then to optimize a bi-objective function which takes into account both maintenance and production criterion. It also provides a framework in order to react to the disturbances occurring in the workshop. The main point is to show how the proposed multi-agent system provides a better compromise between the satisfactions of respective objectives of the two functions.","PeriodicalId":433207,"journal":{"name":"2011 11th International Conference on Intelligent Systems Design and Applications","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129683713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Multi-constrained route optimization for Electric Vehicles (EVs) using Particle Swarm Optimization (PSO) 基于粒子群算法的电动汽车多约束路径优化

2011 11th International Conference on Intelligent Systems Design and Applications Pub Date : 2011-11-01 DOI: 10.1109/ISDA.2011.6121687

U. F. Siddiqi, Y. Shiraishi, S. M. Sait

{"title":"Multi-constrained route optimization for Electric Vehicles (EVs) using Particle Swarm Optimization (PSO)","authors":"U. F. Siddiqi, Y. Shiraishi, S. M. Sait","doi":"10.1109/ISDA.2011.6121687","DOIUrl":"https://doi.org/10.1109/ISDA.2011.6121687","url":null,"abstract":"Route optimization (RO) is an important feature of the Electric Vehicles (EVs) which is responsible for finding optimized paths between any source and destination nodes in the road network. In this paper, the RO problem of EVs is solved by using the Multi Constrained Optimal Path (MCOP) approach. The proposed MCOP problem aims to minimize the length of the path and meets constraints on total travelling time, total time delay due to signals, total recharging time, and total recharging cost. The Penalty Function method is used to transform the MCOP problem into unconstrained optimization problem. The unconstrained optimization is performed by using a Particle Swarm Optimization (PSO) based algorithm. The proposed algorithm has innovative methods for finding the velocity of the particles and updating their positions. The performance of the proposed algorithm is compared with two previous heuristics: H_MCOP and Genetic Algorithm (GA). The time of optimization is varied between 1 second (s) and 5s. The proposed algorithm has obtained the minimum value of the objective function in at-least 9.375% more test instances than the GA and H_MCOP","PeriodicalId":433207,"journal":{"name":"2011 11th International Conference on Intelligent Systems Design and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129531200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 44

A bottom-up oblique decision tree induction algorithm 一种自底向上倾斜决策树归纳算法

2011 11th International Conference on Intelligent Systems Design and Applications Pub Date : 2011-11-01 DOI: 10.1109/ISDA.2011.6121697

Rodrigo C. Barros, R. Cerri, P. Jaskowiak, A. Carvalho

{"title":"A bottom-up oblique decision tree induction algorithm","authors":"Rodrigo C. Barros, R. Cerri, P. Jaskowiak, A. Carvalho","doi":"10.1109/ISDA.2011.6121697","DOIUrl":"https://doi.org/10.1109/ISDA.2011.6121697","url":null,"abstract":"Decision tree induction algorithms are widely used in knowledge discovery and data mining, specially in scenarios where model comprehensibility is desired. A variation of the traditional univariate approach is the so-called oblique decision tree, which allows multivariate tests in its non-terminal nodes. Oblique decision trees can model decision boundaries that are oblique to the attribute axes, whereas univariate trees can only perform axis-parallel splits. The majority of the oblique and univariate decision tree induction algorithms perform a top-down strategy for growing the tree, relying on an impurity-based measure for splitting nodes. In this paper, we propose a novel bottom-up algorithm for inducing oblique trees named BUTIA. It does not require an impurity-measure for dividing nodes, since we know a priori the data resulting from each split. For generating the splitting hyperplanes, our algorithm implements a support vector machine solution, and a clustering algorithm is used for generating the initial leaves. We compare BUTIA to traditional univariate and oblique decision tree algorithms, C4.5, CART, OC1 and FT, as well as to a standard SVM implementation, using real gene expression benchmark data. Experimental results show the effectiveness of the proposed approach in several cases.","PeriodicalId":433207,"journal":{"name":"2011 11th International Conference on Intelligent Systems Design and Applications","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131442245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 26

Multiscale edge detection based on the Sobel method 基于Sobel法的多尺度边缘检测

2011 11th International Conference on Intelligent Systems Design and Applications Pub Date : 2011-11-01 DOI: 10.1109/ISDA.2011.6121732

C. López-Molina, H. Bustince, E. Tartas, A. Jurio, B. Baets

引用次数: 5

Reduction of rejections in cold rolled strip welding by intelligent analysis of image and process data 通过图像和工艺数据的智能分析来减少冷轧带钢焊接中的缺陷

2011 11th International Conference on Intelligent Systems Design and Applications Pub Date : 2011-11-01 DOI: 10.1109/ISDA.2011.6121690

Luis Fernandez, J. Balsera, F. Rodriguez, José Manuel Mesa Fernández

引用次数: 0

Intelligent management for cooperative logistics 合作物流的智能化管理

2011 11th International Conference on Intelligent Systems Design and Applications Pub Date : 2011-11-01 DOI: 10.1109/ISDA.2011.6121739

I. Satoh

引用次数: 1

Automatic aspect discrimination in relational data clustering 关系数据聚类中的自动方面识别

2011 11th International Conference on Intelligent Systems Design and Applications Pub Date : 2011-11-01 DOI: 10.1109/ISDA.2011.6121709

Danilo Horta, R. Campello

引用次数: 1