Search Results - (( problem orientation a algorithm ) OR ( java data optimization algorithm ))

Fuzzy modeling using Bat Algorithm optimization for classification by Noor Amidah, Ahmad Sultan

“…A Sazonov Engine which is a fuzzy java engine is use to apply Bat Algorithm in the experiment. …”
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection by Nwogbaga, Nweso Emmanuel, Latip, Rohaya, Affendey, Lilly Suriani, Abdul Rahiman, Amir Rizaan

“…Therefore, in this paper, we proposed Dynamic tasks scheduling algorithm based on attribute reduction with an enhanced hybrid Genetic Algorithm and Particle Swarm Optimization for optimal device selection. …”
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A random search based effective algorithm for pairwise test data generation by Sabira, Khatun, K. F., Rabbi, Che Yahaya, Yaakub, Klaib, Mohammad F. J.

“…This paper proposes an effective random search based pairwise test data generation algorithm named R2Way to optimize the number of test cases. …”
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Inverse kinematics of six degrees of freedom robot manipulator based on improved dung beetle optimizer algorithm by Haohao, Ma, As’arry, Azizan, Haoyang, Zhang, Ismail, Mohd Idris Shah, Ramli, Hafiz Rashidi, Zuhri, Mohd Yusoff Moh, Delgoshaei, Aidin

“…Inverse kinematics is a basic problem in robotics, which aims to solve the robot’s joint angles according to the end effector’s position and orientation. …”
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Scalable approach for mining association rules from structured XML data by Abazeed, Ashraf Riad, Mamat, Ali, Sulaiman, Md. Nasir, Ibrahim, Hamidah

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EasyA: Easy and effective way to generate pairwise test data by Rabbi, Khandakar Fazley, Sabira, Khatun, Che Yahaya, Yaakub, Klaib, Mohammad F. J.

“…This paper proposes a matrix based calculation for pairwise test data generation algorithm named EasyA to optimize the number of test cases. …”
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An ensemble learning method for spam email detection system based on metaheuristic algorithms by Behjat, Amir Rajabi

“…In the second phase, a classifier ensemble learning model is proposed consisting of separate outputs: (i) To select a relevant subset of original features based on Binary Quantum Gravitational Search Algorithm (QBGSA), (ii) To mine data streams using various data chunks and overcome a failure of single classifiers based on SVM, MLP and K-NN algorithms. …”
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A Genetic Algorithm for Two-Dimensional Bin Packing Problem by Lee, Lai Soon

“…A genetic algorithm (GA) hybridised with a heuristic placement routine is proposed to solve the problem. …”
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Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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Improved Multicrossover Genetic Algorithm For Twodimensional Rectangular Bin Packing Problem by Sarabian, Maryam

“…Bin Packing Problem is a branch of Cutting and Packing problems which has many applications in wood and metal industries. …”
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Applying case reuse and Rule-Based Reasoning (RBR) in object-oriented application framework documentation: Analysis and design by Jani H.M., Lee S.P.

“…In order to come up with new solutions to new problems posed by the framework users, our proposed documentation approach will reuse previously documented cases, which have solved similar framework usage problems in the past. …”

Enhanced bibliographic data retrieval and visualization using query optimization and spectral centrality measure by Ramasamy, Chitra, Zolkepli, Maslina

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Two-level QoS-oriented downlink packet schedulers in LTE networks: a review by Ferdosian, Nasim, Othman, Mohamed

“…The future direction for solving these problems will be stated. Overall this study summarises the current state of knowledge on the QoS-oriented scheduling algorithms for LTE networks.…”
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Food image representation based on modified orientation map by Abdulateef, Salwa Khalid, Mahmuddin, Massudi, Harun, Nor Hazlyna

“…Orientation map is an image representation method representing edges of objects in an image as a set of short line segments instead of pixels representation.The orientation map approach not only aims to extract the key orientation information which constitutes the semantic framework of the visual scene, but also to remove the insignificant elements which barely play a role in image understanding.However, there are two main problems in the current computational approach of orientation map: 1-the outliers in the orientation map 2- the deformities in some line segments.These two problems have an adverse impact on any algorithmic work for image interpretation. …”
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Object-Oriented Programming semantics representation utilizing agents by Mohd Aris, Teh Noranis

“…To cater the problems faced by these novices, a novel agent-based model have been designed to assist them in comprehending OOP concepts through source codes examples. …”
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A carnivorous plant algorithm for solving global optimization problems by Ong, Kok Meng, Ong, Pauline, Sia, Chee Kiong

“…The applicability of the CPA was further examined on mechanical engineering design problems and a real-world challenging application of controlling the orientation of a five degree-of-freedom robotic arm. …”
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A modified partially mapped multiCrossover genetic algorithm for Two-Dimensional Bin Packing Problem by Sarabian, Maryam, Lee, Lai Soon

“…Problem statement: Non-oriented case of Two-Dimensional Rectangular Bin Packing Problem (2DRBPP) was studied in this study. …”
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Tourist Trip Design Problem with user preference and popularity: a case study of Langkawi Island / Nabilah Anuar Ahmad and Huda Zuhrah Ab. Halim by Anuar Ahmad, Nabilah, Ab. Halim, Huda Zuhrah

“…This study proposed enhancement in the greedy algorithm approach (Benjamin et al., 2019). A greedy algorithm solves a problem that selects the most appropriate option based on the current situation. …”
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Genetic algorithms for single machine family scheduling problems with maximum lateness and completion time by Lee, Lai Soon, Habibeh, Nazif

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Software metrics selection model for predicting maintainability of object-oriented software using genetic algorithms by Bakar, Abubakar Diwani

“…The latest effort to solve this selection problem is the development of the metrics selection model that uses genetic algorithm (GA). …”
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