Search Results - (( basic optimization _ algorithm ) OR ( data solution using algorithm ))
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1
Data Analysis using Particle Swarm Optimization Algorithm
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Final Year Project / Dissertation / Thesis -
2
Embedding Malaysian House Red Ant Behavior into an Ant Colony System
Published 2008“…Problem statement: Ant Colony System (ACS) is the most popular algorithm used to find a shortest path solution in Traveling Salesman Problem (TSP). …”
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3
Hybrid artificial bee colony algorithm with branch and bound for two–sided assembly line balancing
Published 2018“…Recently, the artificial bee colony (ABC) algorithm was used in the solution process where it was considered as a very useful, effective and well-known algorithm. …”
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Thesis -
4
Cubic spline based particle swarm optimization for microstrip antennas
Published 2011“…Using the generated data, the CSPSO program is developed and executed. …”
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Article -
5
Potential of data minimization techniques approach in improving DNA sequences alignment and comparison / Syed Abdul Mutalib Al Junid … [et al.]
Published 2012“…At the end of the study, it is expecting that we will discover the potential of data minimization technique in minimizing the size of data towards aligning DNA sequences using basic dynamic programming concept.…”
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Research Reports -
6
Quality of service and energy efficient aware (QEEA) scheduling algorithm for long term evolution (LTE) network / Nurulanis Mohd Yusoff
Published 2017“…Hence, efficient solutions are necessary to optimize EE and at the same time achieve high data rates to meet green LTE requirements. …”
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Thesis -
7
Modeling and control of a Pico-satellite attitude using Fuzzy Logic Controller
Published 2010“…This algorithm encode a potential solution to a specific problem on a simple chromosome like data structure and apply recombination operators to this structure to preserve critical information. …”
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Thesis -
8
Heuristic resource allocation algorithm for controller placement in multi-control 5G based on SDN/NFV architecture
Published 2021“…A Greedy Randomized Search (GRS) algorithm was used to solve the dynamic assignment of nodes to controllers to achieve load balancing. …”
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9
Improving Attentive Sequence-to-Sequence Generative-Based Chatbot Model Using Deep Neural Network Approach
Published 2022“…The strategies applied showed that the final accuracy obtained through the training after implementing a modification in the algorithm is at 81% accuracy rate compared to the basic model that recorded its final accuracy at 79% accuracy rate. …”
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Thesis -
10
Optimizing the SEIRD model for COVID-19 in Malaysia using pymoo framework
Published 2025“…However, the introduction of time-dependent coefficients in both models increases the number of optimization variables. To solve this, the Nelder-Mead and Pattern Search algorithms were recommended. …”
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Article -
11
Power System State Estimation In Large-Scale Networks
Published 2010“…This thesis provides solutions to enhance the WLS algorithm in order to increase the performance of SE. …”
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12
Improved Segregated Advancement (I-SA): a new method for solving full triangular fuzzy transportation problems
Published 2023“…The flaw of SA is that it uses the classical algorithms which are NWC, LCM, and VAM. …”
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13
Improved Segregated Advancement (I-SA): a new method for solving full triangular fuzzy transportation problems
Published 2023“…The flaw of SA is that it uses the classical algorithms which are NWC, LCM, and VAM. …”
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14
Improved Segregated Advancement (I-SA): a new method for solving full triangular fuzzy transportation problems
Published 2023“…The flaw of SA is that it uses the classical algorithms which are NWC, LCM, and VAM. …”
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15
Improved Segregated Advancement (I-SA): a new method for solving full triangular fuzzy transportation problems
Published 2023“…The flaw of SA is that it uses the classical algorithms which are NWC, LCM, and VAM. …”
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16
Improved Segregated Advancement (I-SA): a new method for solving full triangular fuzzy transportation problems
Published 2022“…The flaw of SA is that it uses the classical algorithms which are NWC, LCM, and VAM. …”
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17
Improved Segregated Advancement (I-SA): a new method for solving full triangular fuzzy transportation problems
Published 2023“…The flaw of SA is that it uses the classical algorithms which are NWC, LCM, and VAM. …”
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Article -
18
Improved Segregated Advancement (I-SA): a new method for solving full triangular fuzzy transportation problems
Published 2023“…The flaw of SA is that it uses the classical algorithms which are NWC, LCM, and VAM. …”
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Article -
19
Basic firefly algorithm for document clustering
Published 2015“…To address the shortcoming, this paper proposes a Basic Firefly (Basic FA) algorithm to cluster text documents.The algorithm employs the Average Distance to Document Centroid (ADDC) as the objective function of the search. …”
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Conference or Workshop Item -
20
Solving power system state estimation using orthogonal decomposition algorithm / Tey Siew Kian
Published 2009“…By using real time measurements and historical data base, power system state estimator detects errors in measurements and the data base; and calculates an optimal estimate of the system state vector of the bus voltage magnitudes and angles. …”
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