Continuous function optimization using hybrid ant colony approach with orthogonal design scheme

A hybrid Orthogonal Scheme Ant Colony Optimization (OSACO) algorithm for continuous function optimization (CFO) is presented in this paper. The methodology integrates the advantages of Ant Colony Optimization (ACO) and Orthogonal Design Scheme (ODS). OSACO is based on the following principles: a) each independent variable space (IVS) of CFO is dispersed into a number of random and movable nodes; b) the carriers of pheromone of ACO are shifted to the nodes; c) solution path can be obtained by choosing one appropriate node from each IVS by ant; d) with the ODS, the best solved path is further improved. The proposed algorithm has been successfully applied to 10 benchmark test functions. The performance and a comparison with CACO and FEP have been studied

An artificial immune system for fuzzy-rule induction in data mining

This work proposes a classification-rule discovery algorithm integrating artificial immune systems and fuzzy systems. The algorithm consists of two parts: a sequential covering procedure and a rule evolution procedure. Each antibody (candidate solution) corresponds to a classification rule. The classification of new examples (antigens) considers not only the fitness of a fuzzy rule based on the entire training set, but also the affinity between the rule and the new example. This affinity must be greater than a threshold in order for the fuzzy rule to be activated, and it is proposed an adaptive procedure for computing this threshold for each rule. This paper reports results for the proposed algorithm in several data sets. Results are analyzed with respect to both predictive accuracy and rule set simplicity, and are compared with C4.5rules, a very popular data mining algorithm

Web page classification with an ant colony algorithm

This paper utilizes Ant-Miner - the first Ant Colony algorithm for discovering classification rules - in the field of web content mining, and shows that it is more effective than C5.0 in two sets of BBC and Yahoo web pages used in our experiments. It also investigates the benefits and dangers of several linguistics-based text preprocessing techniques to reduce the large numbers of attributes associated with web content mining

Classification of petroleum well drilling operations with a hybrid particle swarm/ant colony algorithm

This paper describes an investigation of the hybrid PSO/ACO algorithm to classify automatically the well drilling operation stages. The method feasibility is demonstrated by its application to real mud-logging dataset. The results are compared with bio-inspired methods, and rule induction and decision tree algorithms for data mining. © 2009 Springer Berlin Heidelberg

A Pattern Recognition System For Detecting Use Of Mobile Phones While Driving

It is estimated that 80% of crashes and 65% of near collisions involved drivers inattentive to traffic for three seconds before the event. This paper develops an algorithm for extracting characteristics allowing the cell phones identification used during driving a vehicle. Experiments were performed on sets of images with 100 positive images (with phone) and the other 100 negative images (no phone), containing frontal images of the driver. Support Vector Machine (SVM) with Polynomial kernel is the most advantageous classification system to the features provided by the algorithm, obtaining a success rate of 91.57% for the vision system. Tests done on videos show that it is possible to use the image datasets for training classifiers in real situations. Periods of 3 seconds were correctly classified at 87.43% of cases. Copyright © 2014 SCITEPRESS - Science and Technology Publications. All rights reserved.2411418Information, Control and Communication (INSTICC),Institute for Systems and Technologies ofBalbinot, A.B., Zaro, M.A., Timm, M.I., Funções psicológicas e cognitivas presentes no ato de dirigir e sua importância para os motoristas no trânsito (2011) Ciências e Cogniça̧o/Science and Cognition, 16 (2)Dadgostar, F., Sarrafzadeh, A., An adaptive real-time skin detector based on hue thresholding: A comparison on two motion tracking methods (2006) Pattern Recognition Letters, 27 (12), pp. 1342-1352Drews, F.A., Pasupathi, M., Strayer, D.L., Passenger and cell phone conversations in simulated driving (2008) Journal of Experimental Psychology: Applied, 14 (4), p. 392Enriquez, I.J.G., Bonilla, M.N.I., Cortes, J.M.R., Segmentacion de rostro por color de la piel aplicado a deteccion de somnolencia en el conductor (2009) Congreso Nacional de Ingenieria Electronica Del Golfo CONAGOLFO, pp. 67-72Goldberg, D.E., (1989) Genetic Algorithms in Search, Optimization, and Machine Learning, , Addison-Wesley Professional, 1 editionGoodman, M., Benel, D., Lerner, N., Wierwille, W., Tijerina, L., Bents, F., (1997) An Investigation of the Safety Implications of Wireless Communications in Vehicles, , US Dept. of Transportation, National Highway Transportation Safety AdministrationHearst, M.A., Dumais, S.T., Osman, E., Platt, J., Schölkopf, B., Support vector machines (1998) Intelligent Systems and Their Applications IEEE, 13 (4), pp. 18-28Hu, M.K., Visual pattern recognition by moment invariants (1962) Information Theory, IRE Transactions on, 8 (2), pp. 179-187Kohavi, R., A study of cross-validation and bootstrap for accuracy estimation and model selection (1995) International Joint Conference on Artificial Intelligence, 14, pp. 1137-1145. , Lawrence Erlbaum Associates LtdDriver electronic device use in 2010 (2011) Traffic Safety Facts-December 2011, pp. 1-8. , NHTSAPeissner, M., Doebler, V., Metze, F., (2011) Can Voice Interaction Help Reducing the Level of Distraction and Prevent Accidents?Regan, M.A., Lee, J.D., Young, K.L., Driver distraction: Theory, effects, and mitigation (2008) CRCSmith, J.R., Chang, S.F., Tools and techniques for color image retrieval (1996) SPIE Proceedings, 2670, pp. 1630-1639Stanimirova, I., Üstun̈, B., Cajka, T., Riddelova, K., Hajslova, J., Buydens, L., Walczak, B., Tracing the geographical origin of honeys based on volatile compounds profiles assessment using pattern recognition techniques (2010) Food Chemistry, 118 (1), pp. 171-176Strayer, D.L., Cooper, J.M., Turrill, J., Coleman, J., Medeiros-Ward, N., Biondi, F., Measuring cognitive distraction in the automobile (2013) AAA Foundation for Traffic Safety-June 2013, pp. 1-34Strayer, D.L., Watson, J.M., Drews, F.A., 2 cognitive distraction while multitasking in the automobile (2011) Psychology of Learning and Motivation-Advances in Research and Theory, 54, p. 29Vapnik, V., (1995) The Nature of Statistical Learning Theory, , Springer-Verlag, New YorkVeeraraghavan, H., Bird, N., Atev, S., Papanikolopoulos, N., Classifiers for driver activity monitoring (2007) Transportation Research Part C: Emerging Technologies, 15 (1), pp. 51-67Viola, P., Jones, M., Robust real-time object detection (2001) International Journal of Computer Vision, 57 (2), pp. 137-154Wang, L., (2005) Support Vector Machines: Theory and Applications, 177. , Springer, Berlin, GermanyWatkins, M.L., Amaya, I.A., Keller, P.E., Hughes, M.A., Beck, E.D., Autonomous detection of distracted driving by cell phone (2011) Intelligent Transportation Systems (ITSC), 2011 14th International IEEE Conference on, pp. 1960-1965. , IEEEYang, J., Sidhom, S., Chandrasekaran, G., Vu, T., Liu, H., Cecan, N., Chen, Y., Martin, R.P., Detecting driver phone use leveraging car speakers (2011) Proceedings of the 17th Annual International Conference on Mobile Computing and Networking, pp. 97-108. , AC

Using Bat Algorithm with Levy Walk to Solve Directing Orbits of Chaotic Systems

Part 1: Machine LearningInternational audienceBat algorithm is a novel swarm intelligent version by simulating the bat seeking behavior. However, due to the poor exploitation, the performance is not well. Therefore, a new variant named bat algorithm with Gaussian walk is proposed in which the original uniform sample manner is replaced by one Gaussian sample. In this paper, we want to further investigate the performance with Levy sampling manner. To test its performance, three other variants of bat algorithms are employed to compare, simulation results show our modification is superior to other algorithms