Using Constraint Programming in Selection Operators for Constraint Databases

Gómez-López, María Teresa; Gasca, Rafael M.

doi:10.1016/j.eswa.2014.04.047

Cited by 10 publications

(9 citation statements)

References 28 publications

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“…Algorithm description was as follows: where "get models()" was the function of reading the corresponding model formula from the model database; moreover, the relational schema of model tables was Models (Number, SiteIndexClass, TreeName, UpperModel, LowerModel, EntileModel, X-axis, Y-axis…), and Number and SiteIndexClass were primary keys in the model table. "analytic models()" was model analytic function that converts the model formula into a language that computer programs can recognize; this technology was used in several studies (Chandy et al 1975;Kennedy & Hagan A 2001;Gomez-Lopez & Gasca, 2014). "glVertex2f()" was the graph function.…”

Section: D Image Constructionmentioning

confidence: 99%

Study on crown profile models for Chinese fir (Cunninghamia lanceolata) in Fujian Province and its visualization simulation

Chen

Wang

et al. 2015

Scandinavian Journal of Forest Research

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Crown profile models were developed for Chinese fir (Cunninghamia lanceolata) in Shunchang County, Fujian Province. We used data from 360 trees located in 65 pure, even-aged, and unthinned temporary plots. The data was divided into three groups according to site index. Nine models, including models for upper crown, lower crown, and entire crown, were fit; the optimal ones in each group were validated and chosen to estimate crown shape. The optimal models explained at least 70% variability in crown radius. In addition, models for crown width, height above ground to crown base, and height above ground to largest crown radius were also developed to facilitate the convenient simulation of crown profile models. These three models explained 85.4%, 85.1%, and 86.9%variability. All models also passed the F-test and residual test. The 3D images of a single tree and stands were presented by OpenGL technology on visual c++ platform based on the proposed models. Tree growth was compared and analyzed using crown profile curves under constrained conditions. The analysis results accorded with plant growth.

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Section: D Image Constructionmentioning

confidence: 99%

Study on crown profile models for Chinese fir (Cunninghamia lanceolata) in Fujian Province and its visualization simulation

Chen

Wang

et al. 2015

Scandinavian Journal of Forest Research

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“…Furthermore, although the description of the set of constraints can be a hard task, it is done once and applied to every set of data. FABIOLA also provides an easy language to define the constraints based on the query language of Constraint Databases [9,10,11].…”

Section: Methodsmentioning

confidence: 99%

FABIOLA: Towards the Resolution of Constraint Optimization Problems in Big Data Environment

Parody

Varela-Vaca

Gómez-López

et al. 2018

Lecture Notes in Information Systems and Organisation

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The optimization problems can be found in several examples within companies, such as the minimization of the production costs, the faults produced, or the maximization of customer loyalty. The resolution of them is a challenge that entails an extra effort. In addition, many of today's enterprises are encountering the Big Data problems added to these optimization problems. Unfortunately, to tackle this challenge by medium and small companies is extremely difficult or even impossible. In this paper, we propose a framework that isolates companies from how the optimization problems are solved. More specifically, we solve optimization problems where the data is heterogeneous, distributed and of a huge volume. FABIOLA (FAst BIg cOstraint LAb) framework enables to describe the distributed and structured data used in optimization problems that can be parallelized (the variables are not shared between the various optimization problems), and obtains a solution using Constraint Programming Techniques.

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“…However, if the relations between the variables that delineate the Stages of the business have to be described, then Business Rules have the capacity to describe Business Compliance Rules [5]. This is the focus of this subsection, the modeling of the Business Rules by using an adaptation of the Business Data Constraints introduced in [13,16].…”

Section: Business Rulesmentioning

confidence: 99%

Decision-making support for input data in business processes according to former instances

Pérez-Álvarez¹,

Parody

López

et al. 2021

COMSIS J

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Business Processes facilitate the execution of a set of activities to achieve the strategic plans of a company. During the execution of a business process model, several decisions can be made that frequently involve the values of the input data of certain activities. The decision regarding the value of these input data concerns not only the correct execution of the business process in terms of consistency, but also the compliance with the strategic plans of the company. Smart decision-support systems provide information by analyzing the process model and the business rules to be satisfied, but other elements, such as the previous temporal variation of the data during the former executed instances of similar processes, can also be employed to guide the input data decisions at instantiation time. Our proposal consists of learning the evolution patterns of the temporal variation of the data values in a process model extracted from previous process instances by ap plying Constraint Programming techniques. The knowledge obtained is applied in a Decision Support System (DSS) which helps in the maintenance of the alignment of the process execution with the organizational strategic plans, through a framework and a methodology. Finally, to present a proof of concept, the proposal has been applied to a complete case study.

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Using Constraint Programming in Selection Operators for Constraint Databases

Cited by 10 publications

References 28 publications

Study on crown profile models for Chinese fir (Cunninghamia lanceolata) in Fujian Province and its visualization simulation

Study on crown profile models for Chinese fir (Cunninghamia lanceolata) in Fujian Province and its visualization simulation

FABIOLA: Towards the Resolution of Constraint Optimization Problems in Big Data Environment

Decision-making support for input data in business processes according to former instances

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