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114 results for “Heuristic”
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Research ArticleOpen accessIn the abstractMCMC-Fuzzy: A Fuzzy Metric Applied to Bayesian Network Structure LearningBeatriz Wilges, Ademar Crotti Junior, Silvia Modesto NassarBayesian network structure learning is considered a complex task as the number of possible structures grows exponentially with the number of variables. Two main methods are used for Bayesian network structure learning: Conditional independence, a method in which a structure is created consistently with independence tests performed on data; and the heuristic search method that explores the structure space. Hybrid … …Journal of Computer Science, Vol. 14, Issue 8 · 24 Aug 2018 · 8,243 accessesView PDFCite
Research ArticleOpen accessIn the abstractLocation-Aware Energy-Efficient Workload Allocation in Geo Distributed Cloud EnvironmentSoha Rawas, Ahmed ZekriThe proliferation of cloud computing relied on the virtualization of the compute and storage resources and provisioning them dynamically according to users’ needs on a pay-per-use model. Massive cloud providers have geo-distributed cloud data centers to ensure service reliability, availability and satisfy user’s need. Therefore, cloud management systems are necessary to increase the profit of cloud providers and to improve … …Journal of Computer Science, Vol. 14, Issue 3 · 13 Mar 2018 · 8,034 accessesView PDFCite
Research ArticleOpen accessIn the abstractMining Sports Articles using Cuckoo Search and Tabu Search with SMOTE Preprocessing TechniqueWaheeda AlmayyanSentiment analysis is one of the most popular domains for natural language text classification, crucial for improving information extraction. However, massive data availability is one of the biggest problems for opinion mining due to accuracy considerations. Selecting high discriminative features from an opinion mining database is still an ongoing research topic. This study presents a two-stage heuristic feature selection method … …Journal of Computer Science, Vol. 17, Issue 3 · 12 Mar 2021 · 6,534 accessesView PDFCite
Research ArticleOpen accessIn the abstractExploring Learning Capability of an Agent in SOAR: Using 8-Queens ProblemNeha Rajan, Sunderrajan SrinivasanCognitive architecture deals with describing the intelligent behavior of an agent. The description of intelligent behavior states how well an agent can solve and represent variety of problems of the domain-independent task. The intelligence of an agent is considered in terms of its learning capabilities. In this study, we are exploring solving 8-Queens combinatorial problem using SOAR symbolic cognitive architecture. … …Journal of Computer Science, Vol. 16, Issue 5 · 25 May 2020 · 7,067 accessesView PDFCite
Research ArticleOpen accessIn the abstractModeling of a Dynamic Interaction of Motor Transport and Natural Systems in Order to Minimize the Risks of Project and Management DecisionsL. G. Gagarina, D. N. Kavtaradze, A. A. Mordovin et al.Fundamental tasks for the problem of scientific support for the design of transport infrastructure in the ecosystem splits are analyzed. New aspects of simulational application in dynamic interaction of motor transport and natural systems are considered. Method for simulational studies is analyzed. The problems and advantages of the simulation of complex systems are investigated. Mathematical model of the transport infrastructure … …Journal of Computer Science, Vol. 11, Issue 2 · 2 Oct 2014 · 7,174 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnt Colony Optimization for Container Loading ProblemC. N. Yap, L. S. Lee, Z. A. Majid, H. V. SeowProblem statement: The Container Loading Problem (CLP) considers packing a subset of given rectangular boxes into a rectangular container of fixed dimensions in the most optimum way. This was very important in the logistics industries and warehousing problems, since the cost can be reduced by increasing the space utilization ratio. Approach: This problem was solved in a two-phased Ant Colony … …Journal of Mathematics and Statistics, Vol. 8, Issue 2 · 20 Mar 2012 · 8,561 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Performance Metric for Building an Optimized ClassifierMohammad Hossin, Md Nasir Sulaiman, Aida Mustapha, Norwati MustaphaProblem statement: Typically, the accuracy metric is often applied for optimizing the heuristic or stochastic classification models. However, the use of accuracy metric might lead the searching process to the sub-optimal solutions due to its less discriminating values and it is also not robust to the changes of class distribution. Approach: To solve these detrimental effects, we propose a novel … …Journal of Computer Science, Vol. 7, Issue 4 · 4 Apr 2011 · 8,477 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplication of Intelligence Based Genetic Algorithm for Job Sequencing Problem on Parallel Mixed-Model Assembly LineA. Norozi, M.K.A. Ariffin, N. IsmailProblem statement: In the area of globalization the degree of competition in the market increased and many companies attempted to manufacture the products efficiently to overcome the challenges faced. Approach: Mixed model assembly line was able to provide continuous flow of material and flexibility with regard to model change. The problem under study attempted to describe the mathematical programming limitation … …American Journal of Engineering and Applied Sciences, Vol. 3, Issue 1 · 31 Mar 2010 · 9,341 accessesView PDFCite
Research ArticleOpen accessIn the abstractNew Graph Coloring AlgorithmsHussein Al-Omari, Khair E. SabriTwo new heuristic graph-coloring algorithms, based on known heuristic algorithms, have been introduced. One of them is a modification of the Largest Degree Ordering (LDO) algorithm, and the other one is a modification of the Saturation Degree Ordering (SDO) algorithm. The two new algorithms proposed in this paper, were compared empirically, in terms of used colors, with some of the … …Journal of Mathematics and Statistics, Vol. 2, Issue 4 · 31 Dec 2007 · 7,044 accessesView PDFCite