Search Results - (( variable representation based algorithm ) OR ( java simulation optimization algorithm ))

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  1. 1
    Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection

    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

    Published 2022
    “…The simulation is implemented with iFogSim and java programming language. …”
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  2. 2
    Switching algorithm to avoid attitude representation singularity

    Switching algorithm to avoid attitude representation singularity by Okasha, Mohamed Elsayed Aly Abd Elaziz, Newman, Brett

    Published 2009
    “…This description may possess computational savings and allow continued use of insightful variables when compared with nonminimal representations such as Euler parameters. …”
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  3. 3
    Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing

    Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing by Husna, Jamal Abdul Nasir

    Published 2011
    “…Global pheromone update is performed after the completion of processing the jobs in order to reduce the pheromone value of resources. A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against existing grid resource management algorithms such as Antz algorithm, Particle Swarm Optimization algorithm, Space Shared algorithm and Time Shared algorithm, in terms of processing time and resource utilization. …”
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  4. 4
    Ant colony optimization algorithm for load balancing in grid computing

    Ant colony optimization algorithm for load balancing in grid computing by Ku-Mahamud, Ku Ruhana, Mohamed Din, Aniza

    Published 2012
    “…The proposed algorithm is known as the enhance ant colony optimization (EACO). …”
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  5. 5
    A review of crossover methods and problem representation of genetic algorithm in recent engineering applications

    A review of crossover methods and problem representation of genetic algorithm in recent engineering applications by Zainuddin, Farah Ayiesya, Abd Samad, Md Fahmi

    Published 2020
    “…Genetic algorithm (GA) is a popular technique of optimization that is bio-inspired and based on Charles Darwin's proposed principles of natural genetics and natural selection theories. …”
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  6. 6
    OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT

    OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT by Murad S.S., Badeel R., Alsandi N.S.A., Alshaaya R.F., Ahmed R.A., Muhammed A., Derahman M.

    Published 2023
    “…To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. …”
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  7. 7
    Path optimization using genetic algorithm in laser scanning system

    Path optimization using genetic algorithm in laser scanning system by Chen C.P., Koh S.P., Aris I.B., Albert F.Y.C., Tiong S.K.

    Published 2023
    “…The GA would base on the real-number representation, namely Real-Coded Genetic Algorithm (RCGA). …”
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  8. 8
    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization

    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization by Mohammad Ata, Karimeh Ibrahim

    Published 2019
    “…This study proposes a car parking management system which applies Dijkstra’s algorithm, Ant Colony Optimization (ACO) and Binary Search Tree (BST) in structuring a guidance system for indoor parking. …”
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  9. 9
    Features selection for intrusion detection system using hybridize PSO-SVM

    Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

    Published 2016
    “…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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  10. 10
    Switching principles to circumvent Euler angle singularity

    Switching principles to circumvent Euler angle singularity by Okasha, Mohamed Elsayed Aly Abd Elaziz, Newman, Brett

    Published 2010
    “…This description may possess computational savings and allow continued use of insightful variables when compared with nonminimal representations such as Euler parameters. …”
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  11. 11
    Resource management in grid computing using ant colony optimization

    Resource management in grid computing using ant colony optimization by Ku-Mahamud, Ku Ruhana, Mohamed Din, Aniza

    Published 2011
    “…Resources with high pheromone value are selected to process the submitted jobs.Global pheromone update is performed after completion processing the jobs in order to reduce the pheromone value of resources.A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against other ant based algorithm, in terms of resource utilization.Experimental results show that EACO produced better grid resource management solution.…”
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  12. 12
    Dynamic Bayesian Networks and Variable Length Genetic Algorithm for Dialogue Act Recognition

    Dynamic Bayesian Networks and Variable Length Genetic Algorithm for Dialogue Act Recognition by Ali Yahya, Anwar

    Published 2007
    “…In the selection phase, a new variable length genetic algorithm is applied to select the lexical cues. …”
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  13. 13
    Implementation of locust inspired scheduling algorithm with huge number of servers for energy efficiency in a cloud datacenter

    Implementation of locust inspired scheduling algorithm with huge number of servers for energy efficiency in a cloud datacenter by Azhar, Nur Huwaina

    Published 2019
    “…Cloudsim is used as Discrete Event Simulation tool and Java as coding language to evaluate LACE algorithm. …”
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  14. 14
    Extremal region detection and selection with fuzzy encoding for food recognition

    Extremal region detection and selection with fuzzy encoding for food recognition by Razali @ Ghazali, Mohd Norhisham

    Published 2019
    “…Three algorithms were used to accomplish the task of feature representation. …”
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  15. 15
    Path optimization using genetic algorithm in laser scanning system

    Path optimization using genetic algorithm in laser scanning system by Chen, Chai Phing, Koh, Johnny Siaw Paw, Aris, Ishak, Fong, Albert Yu Chooi, Tiong, Sieh Kiong

    Published 2008
    “…The GA would base on the real-number representation, namely Real-Coded Genetic Algorithm (RCGA). …”
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  16. 16
    A Comparative Study Of Fuzzy C-Means And K-Means Clustering Techniques

    A Comparative Study Of Fuzzy C-Means And K-Means Clustering Techniques by Sharifah Sakinah, Syed Ahmad

    Published 2014
    “…Then, we apply six datasets to measure the quality of clustering result based on the similarity measure used in the algorithm and its representation of clustering result. …”
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  17. 17
    Fault diagnosis by using multi-scale signed directed graph

    Fault diagnosis by using multi-scale signed directed graph by Ali, H., Maulud, A.S., Zabiri, H., Nawaz, M., Ismail, L.

    Published 2022
    “…It describes and represents the causal relations between the process variables and their effect relations in systems. The conventional SDG fault diagnosis algorithm is a single-scale fault representation origin, and it cannot effectively solve multiple fault representation origins. …”
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  18. 18
    Cryptanalysis of elliptic curve scalar multiplication algorithms

    Cryptanalysis of elliptic curve scalar multiplication algorithms by Leong, Zhen Hong

    Published 2025
    “…The binary method uses a double-and-add approach, which introduces conditional branches that increase execution variability, making it more vulnerable to timing-based side-channel attacks. …”
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  19. 19
    Optimization of Upstream Offshore Oilfield Production Planning under Uncertainty and Downstream Crude Oil Scheduling at Refinery Front-End

    Optimization of Upstream Offshore Oilfield Production Planning under Uncertainty and Downstream Crude Oil Scheduling at Refinery Front-End by Tan Yin Keong, Tan Yin

    Published 2012
    “…The solution obtained from the LB–MILP model, i.e., the decision variables (binary variables), was used to obtain a feasible solution for model UB–NLP. …”
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  20. 20
    Optimization of Upstream Offshore Oilfield Production Planning under Uncertainty and Downstream Crude Oil Scheduling at Refinery Front-End

    Optimization of Upstream Offshore Oilfield Production Planning under Uncertainty and Downstream Crude Oil Scheduling at Refinery Front-End by Tan , Yin Keong

    Published 2009
    “…The solution obtained from the LB-MILP model, i.e., the decision variables (binary variables), was used to obtain a feasible solution for model UB-NLP. …”
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