Search Results - (( parallel optimization path algorithm ) OR ( problem representation based algorithm ))

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  1. 1
    Tool path generation of contour parallel based on ant colony optimisation

    Tool path generation of contour parallel based on ant colony optimisation by Abdullah, Haslina, Ramli, Rizauddin, Abd Wahab, Dzuraidah, Abu Qudeiri, Jaber

    Published 2016
    “…An Ant Colony Optimisation (ACO) method is used to optimize the tool path length because of its capability to find the shortest tool path length. …”
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  2. 2
    Minimizing machining airtime motion with an ant colony algorithm

    Minimizing machining airtime motion with an ant colony algorithm by Abdullah, Haslina, Ramli, Rizauddin, Abd Wahab, Dzuraidah, Abu Qudeiri, Jaber

    Published 2016
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  3. 3
    OPTIMAL DATAPATH DESIGN FOR A CRYPTOGRAPHIC PROCESSOR: THE BLOWFISH ALGORITHM

    OPTIMAL DATAPATH DESIGN FOR A CRYPTOGRAPHIC PROCESSOR: THE BLOWFISH ALGORITHM by Zain Ali, Noohul Basheer, Noras, James

    Published 2001
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  4. 4
    A comparative representation approach to modern heuristic search methods in a job shop

    A comparative representation approach to modern heuristic search methods in a job shop by Dominic P, Dhanapal Durai, Ahmad, Kamil, Parthiban, P, Lenny Koh, SC

    Published 2008
    “…This research article addresses the problem of static job shop scheduling on the job-based representation and the rule-based representations. …”
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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
    “…This paper reviews crossover methods and problem representation, e.g. in the form of binary coded and real coded representation, used by researchers in order to solve engineering operations. …”
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  6. 6
    Restoration planning strategy of transmission system based on optimal energizing time of sectionalizing islands / Dian Najihah Abu Talib

    Restoration planning strategy of transmission system based on optimal energizing time of sectionalizing islands / Dian Najihah Abu Talib by Dian Najihah , Abu Talib

    Published 2019
    “…There are two discrete optimization techniques used in this work, which are the Artificial Bee Colony algorithm and Evolutionary Programming. …”
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  7. 7
    Object-Oriented Programming semantics representation utilizing agents

    Object-Oriented Programming semantics representation utilizing agents by Mohd Aris, Teh Noranis

    Published 2011
    “…The algorithm requires source codes comparison based on keyword similarity to extract the words that exist in the two related source codes. …”
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  8. 8
    Ball surface representations using partial differential equations

    Ball surface representations using partial differential equations by Kherd, Ahmad Saleh Abdullah

    Published 2015
    “…This algorithm is then tested in positivity preserving of surface and image enlargement problems. …”
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  9. 9
    USING LATENT SEMANTIC INDEXING FOR DOCUMENT CLUSTERING

    USING LATENT SEMANTIC INDEXING FOR DOCUMENT CLUSTERING by MUFLIKHAH, LAILIL

    Published 2010
    “…Based on the new representation, the documents are then subjected to the clustering algorithm itself, which is Fuzzy c-Means algorithm. …”
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  10. 10
    Optimization Of Two-Dimensional Dual Beam Scanning System Using Genetic Algorithms

    Optimization Of Two-Dimensional Dual Beam Scanning System Using Genetic Algorithms by Koh, Johnny Siaw Paw

    Published 2008
    “…In addition, the performance of the new operators called GA_INSP (GA Inspection Module), DTC (Dynamic Tuning Crossover), and BCS (Bi-Cycle Selection Method) for a better evolutionary approach to the time-based problem has been discussed in the thesis. The simulation results indicate that the algorithm is able to segregate and assign the tasks for each scanning head and also able to find the shortest scanning path for different types of objects coordination. …”
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  11. 11
    Hybrid multiobjective genetic algorithm for integrated dynamic scheduling and routing of jobs and automated guided vehicles in flexible manufacturing systems

    Hybrid multiobjective genetic algorithm for integrated dynamic scheduling and routing of jobs and automated guided vehicles in flexible manufacturing systems by Umar, Umar Ali

    Published 2014
    “…The algorithm used weight mapping crossover (WMX) and Insertion Mutation (IM) as genetic operators for sub-chromosomes represented with priority-based representation. …”
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  12. 12
    Food image representation based on modified orientation map

    Food image representation based on modified orientation map by Abdulateef, Salwa Khalid, Mahmuddin, Massudi, Harun, Nor Hazlyna

    Published 2017
    “…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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  13. 13
    Conflict-free automated guided vehicles routing using multi-objective genetic algorithm

    Conflict-free automated guided vehicles routing using multi-objective genetic algorithm by Umar, Ali Umar, Mohd Ariffin, Mohd Khairol Anuar, Ismail, Napsiah, Tang, Sai Hong

    Published 2013
    “…The algorithm used weight mapping crossover (WMX) and Insertion Mutation (IM) for priority-based representation and parameterized uniform crossover (PUX) for random-key based representation. …”
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  14. 14
    Multi-objective spiral dynamic algorithms-based for a better accuracy and diversity

    Multi-objective spiral dynamic algorithms-based for a better accuracy and diversity by Ahmad Azwan, Abdul Razak

    Published 2019
    “…A more complex problem in which has two conflicting objectives where it is not solvable by the single objective type algorithm is the right type of problem for the multi-objective algorithm. …”
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  15. 15
    Multi-State Particle Swarm Optimization for Discrete Combinatorial Optimization Problem

    Multi-State Particle Swarm Optimization for Discrete Combinatorial Optimization Problem by Ismail, Ibrahim, Hamzah, Ahmad, Zuwairie, Ibrahim, Mohd Falfazli, Mat Jusof, Zulkifli, Md. Yusof, Sophan Wahyudi, Nawawi, Kamal, Khalil, Muhammad Arif, Abdul Rahim

    Published 2014
    “…The binary-based algorithms including the binary particle swarm optimization (BPSO) algorithm are proposed to solve discrete optimization problems. …”
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  16. 16
    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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  17. 17
    DATA REPRESENTATION AND REASONING BASED ON SEMANTIC WEB INTEGRATION

    DATA REPRESENTATION AND REASONING BASED ON SEMANTIC WEB INTEGRATION by USMAN DANYARO, KAMALUDDEEN

    Published 2015
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  18. 18
    Recent Evolutionary Algorithm Variants for Combinatorial Optimization Problem

    Recent Evolutionary Algorithm Variants for Combinatorial Optimization Problem by Anniza, Hamdan, San Nah, Sze, Say Leng, Goh, Kang Leng, Chiew, Wei King, Tiong

    Published 2023
    “…The evolutionary algorithm has been extensively used to solve a range of combinatorial optimization problems. …”
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  19. 19
    Mobile robot path planning using hybrid genetic algorithm and traversability vectors method

    Mobile robot path planning using hybrid genetic algorithm and traversability vectors method by Loo, C.K., Rajeswari, M., Wong, E.K., RaoTask, M.V.C.

    Published 2004
    “…Recent advances in robotics and machine intelligence have led to the application of modern optimization method such as the genetic algorithm (GA), to solve the path-planning problem. …”
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  20. 20
    Crossover and mutation operators of real coded genetic algorithms for global optimization problems

    Crossover and mutation operators of real coded genetic algorithms for global optimization problems by Lim, Siew Mooi

    Published 2016
    “…This study is primarily aimed at investigating two issues in genetic algorithm (GA) and one issue in conformational search (CS) problems. …”
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