Filters








523 Hits in 3.0 sec

Building and Using an Ontology of Preference-Based Multiobjective Evolutionary Algorithms [chapter]

Longmei Li, Iryna Yevseyeva, Vitor Basto-Fernandes, Heike Trautmann, Ning Jing, Michael Emmerich
2017 Lecture Notes in Computer Science  
Detailed procedure is given on how to build and use the ontology with the help of Protégé.  ...  This paper proposes a Web Ontology Language (OWL) ontology to model and systematize the knowledge of preferencebased multiobjective evolutionary algorithms (PMOEAs).  ...  Then, in the experiment part of the DF-SMS-EMOA paper we set the test problems using property canSolve.  ... 
doi:10.1007/978-3-319-54157-0_28 fatcat:ye774ilqynh5xngqoepzs5fq2a

Cooperative search for fair nurse rosters

Simon Martin, Djamila Ouelhadj, Pieter Smet, Greet Vanden Berghe, Ender Özcan
2013 Expert systems with applications  
To this end, a generic agentbased cooperative search framework utilising new mechanisms is described, aiming to combine the strengths of multiple metaheuristics.  ...  Building on an existing nurse rostering problem, a set of fairness-based objective functions recently introduced in the literature has been extended.  ...  In the first test scenario, the metaheuristic agents use cooperative search to generate the nurse rosters using the same fairness objective function, while in the second one, the metaheuristic agents use  ... 
doi:10.1016/j.eswa.2013.06.019 fatcat:6vluvxlvendfzg66zdqpwg5cvu

A multi-agent based cooperative approach to scheduling and routing

Simon Martin, Djamila Ouelhadj, Patrick Beullens, Ender Ozcan, Angel A. Juan, Edmund K. Burke
2016 European Journal of Operational Research  
In this paper, we propose a general agent-based distributed framework where each agent is implementing a different metaheuristic/local search combination.  ...  Moreover, an agent continuously adapts itself during the search process using a direct cooperation protocol based on reinforcement learning and pattern matching.  ...  Each metaheuristic agent conducts its search using the messaging structure defined in the ontology for scheduling and routing and uses no problem specific data and as such is generic.  ... 
doi:10.1016/j.ejor.2016.02.045 fatcat:adt7jr6bqjdw3lx3hd6okapxbq

A Review of Feature Selection Algorithms in Sentiment Analysis for Drug Reviews

Siti Rohaidah Ahmad, Nurhafizah Moziyana Mohd Yusop, Afifah Mohd Asri, Mohd Fahmi Muhamad Amran
2021 International Journal of Advanced Computer Science and Applications  
Sentiment analysis (SA) is a technology that analyses text-based data using machine learning techniques and Natural Language Processing to interpret and classify emotions in the subjective language.  ...  This review paper has also identified previous studies that applied metaheuristics algorithm as a feature selection algorithm in the medical domain, especially studies that used drug review data.  ...  Tests based on domains could also play an important role in each study. [22] , metaheuristic techniques have been used for over 20 years in numerous applications.  ... 
doi:10.14569/ijacsa.2021.0121217 fatcat:zjfk7mw36jbk3g22z2gxai5p3q

Application of Greedy Randomized Adaptive Search Procedure to the Biclustering of Gene Expression Data

Shyama Das, Sumam Mary Idicula
2010 International Journal of Computer Applications  
In the first step high quality bicluster seeds are generated using K-Means clustering algorithm.  ...  Microarray technology demands the development of data mining algorithms for extracting useful and novel patterns.  ...  RESULTS Datasets Used We have implemented the proposed algorithm in Matlab and tested on bench mark data set namely Yeast Saccharomyces Cerevisiae cell cycle expression dataset.  ... 
doi:10.5120/650-907 fatcat:wi4rk4g2brahppfycazkjlftua

Using Competitive Binary Particle Swarm Optimization Algorithm for Matching Sensor Ontologies

Lei Xiao, Junhong Feng, Xishuan Niu, Jian-Hong Wang, Jianhui Lv
2022 Mobile Information Systems  
Developing sensor ontologies and using them to annotate the sensor data is a feasible way to address the data heterogeneity issue on Internet of Things (IoT).  ...  The experiment uses ontology alignment evaluation initiative (OAEI)'s benchmark and three real sensor ontologies to test CBPSO's performance.  ...  Inspired by the success of metaheuristics-based matching technique in ontology matching domain, this work further proposes a competitive binary particle swarm optimization algorithm (CBPSO) and uses it  ... 
doi:10.1155/2022/2207252 fatcat:lxc3a4rigvahzhhey2tcdnnkru

Simulation data management for adaptive design of experiments: A litterature review

Gaëtan Blondet, Julien Le Duigou, Nassim Boudaoud, Benoît Eynard
2015 Mechanics & Industry  
Adaptive design of experiments is based on several methods implying a profusion of different technics.  ...  Re-using best practices may help designers to choose relevant methods to reduce computational cost and simulation process duration.  ...  OntoSTEP-NC, an ontology based on STEP-NC (AP238) standard data model was proposed [34] .  ... 
doi:10.1051/meca/2015041 fatcat:5lgrvxctofgz5p2rbfnjelik2m

Automatically Specifying a Parallel Composition of Matchers in Ontology Matching Process by Using Genetic Algorithm

Marko Gulić, Boris Vrdoljak, Marina Ptiček
2018 Information  
To facilitate the integration of these heterogeneous data sources, an ontology can be used as it enriches the knowledge of a data source by giving a detailed description of entities and their mutual relations  ...  Ontology matching is a key issue in integrating heterogeneous data sources described by ontologies as it eases the management of data coming from various sources.  ...  Genetic algorithm is nature-inspired metaheuristic based on the process of natural selection [8] .  ... 
doi:10.3390/info9060138 fatcat:b35d7qln6zhwlphrf3rbkccicy

A knowledge-based approach to automated simulation model adaptation

Andreas D. Lattner, Tjorben Bogon, Yann Lorion, Ingo J. Timm
2010 Proceedings of the 2010 Spring Simulation Multiconference on - SpringSim '10  
For illustration we apply our system to a test scenario and present first results.  ...  changes in simulation models, and thus for the generation of simulation model variants.  ...  In order to set the right Prolog generated model input for Plant Simulation and to test the outcome of the different model variants we used a Dynamic Data Exchange (DDE) bridge to connect to Plant Simulation  ... 
doi:10.1145/1878537.1878697 fatcat:54pd7goygng4hkuv42zrldo7ny

A Novel Adaptive Cuckoo Search for Optimal Query Plan Generation

Ramalingam Gomathi, Dhandapani Sharmila
2014 The Scientific World Journal  
The extent to which the algorithm is efficient is tested and the results are documented.  ...  This paper focuses on the problem of query optimization of semantic web data.  ...  The algorithm has been applied and tested with datasets of varying sizes and the best query plan is generated based on the fitness function.  ... 
doi:10.1155/2014/727658 pmid:25215330 pmcid:PMC4158119 fatcat:tuo4vc3hjrch3g7n3oarohqnku

Integrating Cross-lingual Ontologies through Co-Evolutionary Algorithm

Lili Huang, Leong Ko, Jianhui Lv
2022 Mobile Information Systems  
The experiment utilizes OAEI's multifarm track for testing purpose, and the experimental results show that CoEA is able to effectively integrate various cross-lingual ontologies.  ...  One of the challenges is that different ontologies in the same application domain might use different languages to describe the same concept, which yields the cross-lingual heterogeneity problem, i.e.,  ...  Data Availability e data used to support the findings of this study are available from the corresponding author upon request.  ... 
doi:10.1155/2022/8587896 fatcat:xgfw6pmy3vfvpjf63qqxxgsa7m

Editorial

David Pinto, Dárnes Villariño, Beatríz Beltrán
2018 Journal of Computacion y Sistemas  
A well-known machine learning classifier, Support Vector Machine was used to train and test the system.  ...  The proposed evaluation approach is able to provide a score obtained through the metric, which is based on the accuracy measure used for each ontology evaluated.  ... 
doi:10.13053/cys-22-1-2924 fatcat:f6zztisw3vf6pht7lm4oi54wby

Preface

Jose Aguilar, Gabriela Marin
2014 Electronical Notes in Theoretical Computer Science  
Martins, proposed an approach in order to emulate XSS attack against Web Services, based on two Security Testing techniques, namely Penetration Testing and Fault Injection.  ...  The first one, "An Ontological Rule-Based Approach for Analyzing Dead and False Optional Features in Feature Models", by L. Rincn, G. Giraldo, R. Mazo, and C.  ... 
doi:10.1016/j.entcs.2014.01.017 fatcat:6yiuamwkrfg3tduu7ksiuc75ta

A Hybrid Adaptive Educational eLearning Project based on Ontologies Matching and Recommendation System [article]

Vasiliki Demertzi, Konstantinos Demertzis
2020 arXiv   pre-print
It is a novel hybrid machine learning system that combines a Semi-Supervised Classification method for ontology matching and a Recommendation Mechanism that uses a hybrid method from neighborhood-based  ...  collaborative and content-based filtering techniques, in order to provide a personalized educational environment for each student.  ...  Generally, the SWeb technologies "enable people to create data stores on the web, build ontologies, and write rules for handling data.  ... 
arXiv:2007.14771v3 fatcat:m7sa4xnifvgr7k3n42n55mfjja

Service Composition in IoT using Genetic algorithm and Particle swarm optimization

Neeti Kashyap, A. Charan Kumari, Rita Chhikara
2020 Open Computer Science  
In this paper, two of the metaheuristic algorithms namely Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) are utilized to tackle QoS based service composition issues.  ...  To obtain results via simulation, the PSO algorithm is used to solve the SC problem in IoT. This is further assessed and contrasted with GA.  ...  Empirical evaluation of the implemented algorithms on the real-world application data set Description of the data set To test the implemented algorithms, a well-known data set is used to facilitate the  ... 
doi:10.1515/comp-2020-0011 fatcat:jzt3jv66dzgshfpbz7w56vsxfi
« Previous Showing results 1 — 15 out of 523 results