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An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…In order to address the challenges that mentioned above in this study, in the first phase, a novel architecture based on ensemble feature selection techniques include Modified Binary Bat Algorithm (NBBA), Binary Quantum Particle Swarm Optimization (QBPSO) Algorithm and Binary Quantum Gravita tional Search Algorithm (QBGSA) is hybridized with the Multi-layer Perceptron (MLP) classifier in order to select relevant feature subsets and improve classification accuracy. …”
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A genetic similarity algorithm for searching the Gene Ontology terms and annotating anonymous protein sequences
Published 2008“…The genetic similarity algorithm combines semantic similarity measure algorithm with parallel genetic algorithm. …”
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An Efficient Genetic Algorithm for Large Scale Vehicle Routing Problem Subject to Precedence Constraints
Published 2015“…Vehicle routing problem is difficult to solve using exact methods especially for large size instances due to computational expensive. Therefore, metaheuristic method based genetic algorithm has been developed to obtain feasible and optimal solution with less computation time. …”
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A genetic algorithm for the cryptanalysis of Chor-Rivest knapsack public key cryptosystem (PKC)
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Proceeding Paper -
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Assignation of PSM evaluator using genetic algorithm
Published 2012“…The purpose of this paper is to present a design of development for Assignation of PSM Evaluator using Genetic Algorithm(APEGA)system.This is an application system that is used to assist the Faculty of Computer System and Software Engineering(FSKKP)of University Malaysia Pahang(UMP)in matching the optimum evaluators for the students in PSM presentation carnival.In the methodology part,a development model which involves with client participation is designed in order to use in the development of this project.The target user of the system is PSM coordinator who is responsible in assigning the PSM evaluator.Assignation of PSM Evaluator using Genetic Algorithm APEGA)is expected to be able in developing a well-distributed matching and overcoming the relevant constraints in an intelligent way. …”
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Undergraduates Project Papers -
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Exam hall allocation using genetic algorithm / Norisyani Binti Fauzai
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Improved elitist genetic algorithm for reactive power planning in power system / Mohamad Fadhil Mohd Kamal
Published 2010“…The study conducts comparative analyses on the performances of the elitist genetic algorithms (EGA). Modified steady state genetic algorithms (SSGA) and computationally enhanced steady state genetic algorithm (CSGA) in improving the voltage stability and minimizing loss via the optimization of the RPP in power system. …”
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Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
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Genetic Algorithm for vehicle routing problem / W.Nurfahizul Ifwah W.Alias, Mohd Shaiful Sharipudin and Shamsunarnie Mohamed Zukri.
Published 2012“…They are also robust and effective algorithms that are computationally simple and easy to implement.…”
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Research Reports -
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Intelligent agent for e-commerce using genetic algorithm / Kok Sun Sun
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Computer Lab Timetabling Using Genetic Algorithm Case Study - Unit ICT
Published 2006“…Genetic Algorithm is one of the most popular optimization solutions used in various applications such as scheduling. …”
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Genetic-local hybrid optimizer for solving advance layout problem
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Efficient genetic partitioning-around-medoid algorithm for clustering
Published 2019“…One of the main issues in genetic k-means based algorithms is their sensitivity to outliers and unevenly distributed clusters due to the mean compromised computations. …”
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Rational drug design using genetic algorithm: case of malaria disease
Published 2012“…Currently, number of researchers are working in this filed to overcome the recent issues of docking by using genetic algorithm approach. Moreover, Genetic Algorithm facilities the researchers and scientists in molecular docking experiments. …”
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The online mastermind game / Cheong Kuen Leion
Published 2003“…In the other words, the aim of this project is to develop an online Mastermind game using genetic algorithm between a computer and a player or (ideally) a group of players over the network. …”
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Hybrid multiobjective genetic algorithm for integrated dynamic scheduling and routing of jobs and automated guided vehicles in flexible manufacturing systems
Published 2014“…Computational experiments were conducted on the developed algorithm coded in Matlab to test the effectiveness of the algorithm. …”
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