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  1. 1
    Clustering ensemble learning method based on incremental genetic algorithms

    Clustering ensemble learning method based on incremental genetic algorithms by Ghaemi, Reza

    Published 2012
    “…In order to address the above mentioned challenges, this study is devoted towards the development of a clusterer and a clustering ensemble learning method based on incremental genetic algorithms addressing group unlabeled samples. Firstly, an architecture for the clustering ensemble based on incremental genetic-based algorithms is proposed consisting of two phases: (i) to produce cluster partitions as initial populations, (ii) to combine cluster partitions and to generate final clustering solution by incremental genetic based clustering ensemble learning algorithm. …”
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  2. 2
    Multistage optimal homotopy asymptotic method for solving initial-value problems

    Multistage optimal homotopy asymptotic method for solving initial-value problems by Anakira, N. R., Alomari, A. K., Jameela, Ali, Hashim, Ishak

    Published 2016
    “…In this paper, a new approximate analytical algorithm namely multistage optimal homotopy asymptotic method (MOHAM) is presented for the first time to obtain approximate analytical solutions for linear, nonlinear and system of initial value problems (IVPs).This algorithm depends on the standard optimal homotopy asymptotic method (OHAM), in which it is treated as an algorithm in a sequence of subinterval. …”
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  3. 3
    Vehicle Routing Problem with Simultaneous Pickup and Delivery

    Vehicle Routing Problem with Simultaneous Pickup and Delivery by Sze, San Nah, Sek, Siaw Ying Doreen, Sze, Jeeu Fong, Cheah, Wai Shiang, Chiew, Kang Leng

    Published 2020
    “…A simple heuristic is used to generate the initial solution in the first phase. Then, the feasible solution obtained in the first phase will become the initial input for the improvement phase, which applied the VNS algorithm. …”
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  4. 4
    Enhancing the Sorting Layers in the Initial Stage of High School Timetabling

    Enhancing the Sorting Layers in the Initial Stage of High School Timetabling by Arbaoui, Billel, Wahid, Juliana, Abdul-Rahman, Syariza

    Published 2020
    “…KHE is an algorithm that generates initial solution of HSTP. …”
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  5. 5
    Hybrid of firefly algorithm and pattern search for solving optimization problems

    Hybrid of firefly algorithm and pattern search for solving optimization problems by Wahid, Fazli, Ghazali, Rozaida

    Published 2018
    “…The proposed approach consists of three stages. In the first stage, the parameters of standard FA are initialized. …”
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  6. 6
    An improved genetic bat algorithm for unconstrained global optimization problems

    An improved genetic bat algorithm for unconstrained global optimization problems by Muhammad Zubair, Rehman, Kamal Z., Zamli, Abdullah, Nasser

    Published 2020
    “…Therefore, to ensure that GA converges to a global solution, this paper proposed a two-stage improved Genetic Bat algorithm (GBa) in which the GA finds the optimal solution first and then Bat starts from where the GA has converged. …”
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  7. 7
    The Determination of Pile Capacity Using Artificial Neural-net: An Optimization Approach

    The Determination of Pile Capacity Using Artificial Neural-net: An Optimization Approach by Ab. Malik, Rosely, Jamil S., Mohamed

    Published 2001
    “…Using the developed algorithm, the safety measures involved are such as reliability index and the probability of failure; instead of only factor of safety if conventional deterministic approach is used. …”
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  8. 8
    Kinetic Parameter Estimation in Alkylation of Benzene with 1-Decene through Hybrid Particle Swarm Optimization

    Kinetic Parameter Estimation in Alkylation of Benzene with 1-Decene through Hybrid Particle Swarm Optimization by Mohd Zulkefle, Nurul Farihah

    Published 2012
    “…Afterwards, the solution obtained using PSO algorithm is given as initial guesses to the Levenberg–Marquardt algorithm to determine the improved optimal solution. …”
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  9. 9
    Flexible job shop scheduling using priority heuristics and genetic algorithm

    Flexible job shop scheduling using priority heuristics and genetic algorithm by Farashahi, Hamid Ghaani

    Published 2010
    “…In the next method, a genetic algorithm has been developed. It has been shown that proposed genetic algorithm with a reinforced initial population (GA2) has better efficiency compared to a proposed genetic algorithm with fully random initial population (GA0). …”
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  10. 10
    Comparison between Newton’s Method and a new Scaling Newton Method / Ramizah Baharuddin

    Comparison between Newton’s Method and a new Scaling Newton Method / Ramizah Baharuddin by Baharuddin, Ramizah

    Published 2021
    “…In Newton’s method, approximation is done by using tangential lines. The solution process begins with choosing a value as the first estimate of the solution (normally obtained from graphing). …”
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  11. 11
    Block backward differentiation formulas for solving first and second order fuzzy differential equations

    Block backward differentiation formulas for solving first and second order fuzzy differential equations by Tiaw, Kah Fook

    Published 2016
    “…The first part of the thesis discussed the combination of BBDF and Block Simpson into Hybrid method for solving first order FDEs. …”
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  12. 12
    Hexagon pattern particle swarm optimization based block matching algorithm for motion estimation / Siti Eshah Che Osman

    Hexagon pattern particle swarm optimization based block matching algorithm for motion estimation / Siti Eshah Che Osman by Che Osman, Siti Eshah

    Published 2019
    “…In this HPSO algorithm, totally seven particles positions are initialized. …”
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  13. 13
    Formulating and solving stochastic truck and trailer routing problems using meta-heuristic algorithms / Seyedmehdi Mirmohammadsadeghi

    Formulating and solving stochastic truck and trailer routing problems using meta-heuristic algorithms / Seyedmehdi Mirmohammadsadeghi by Seyedmehdi, Mirmohammadsadeghi

    Published 2015
    “…The solutions have been significantly improved by the algorithms. …”
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  14. 14
    Automatic selection of initial points for exploratory vessel tracing in fluoroscopic images

    Automatic selection of initial points for exploratory vessel tracing in fluoroscopic images by Boroujeni, Farsad Zamani, O. K. Rahmat, Rahmita Wirza, Mustapha, Norwati, Affendey, Lilly Suriani, Maskon, Oteh

    Published 2011
    “…The first step of most automatic exploratory tracing algorithms is collecting a number of candidate initial seed points and their initial tracing directions. …”
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  15. 15
    Fifth order 2−point implicit block method with an off-stage function for solving first order stiff initial value problems

    Fifth order 2−point implicit block method with an off-stage function for solving first order stiff initial value problems by Zainal, Siti Zhafirah

    Published 2014
    “…Numerical solution schemes are often referred to as being explicit or implicit.However, implicit numerical methods are more accurate than explicit for the same number of back values in solving still Initial Value Problems (IVPs). …”
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  16. 16
    Solving Boundary Value Problems for Ordinary Differential Equations Using Direct Integration and Shooting Techniques

    Solving Boundary Value Problems for Ordinary Differential Equations Using Direct Integration and Shooting Techniques by V., Malathi

    Published 1999
    “…When using simple shooting technique, sometimes stability difficulties arise when the differential operator of the given ODE contains rapidly growing and decaying fundamental solution modes. Then the initial value solution is very sensitive to small changes in the initial condition. …”
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  17. 17
    Hybrid artificial immune system-genetic algorithm optimization based on mathematical test functions

    Hybrid artificial immune system-genetic algorithm optimization based on mathematical test functions by Ali M.O., Koh S.P., Chong K.H., Yap D.F.W.

    Published 2023
    “…Secondly, a Genetic Algorithm is typically initializing population randomly. …”
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  18. 18
    A Preliminary Study On Firefly Algorithm Approach For Travelling Salesman Problem

    A Preliminary Study On Firefly Algorithm Approach For Travelling Salesman Problem by Ismail, Mohd Muzafar, Che Hasan, Mohd Hanif, Mohamad @ Ab Rahman, Syahrul Hisham, Jaafar, Hazriq Izzuan

    Published 2013
    “…Each firefly in Firefly Algorithm represents a candidate solution of the Travelling Salesman Problem. …”
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  19. 19
    Variable Neighbourhood Search Algorithm for Vehicle Routing Problem with Backhaul

    Variable Neighbourhood Search Algorithm for Vehicle Routing Problem with Backhaul by Siaw Ying Doreen, Sek

    Published 2023
    “…A simple priority heuristic rule is developed in the first phase to generate the initial dataset solution for each benchmark instance. …”
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  20. 20
    An improved bat algorithm with artificial neural networks for classification problems

    An improved bat algorithm with artificial neural networks for classification problems by Rehman Gillani, Syed Muhammad Zubair

    Published 2016
    “…Then, the proposed BAGD algorithm is frnther hybridized with Simulated Annealing (SA) and Genetic Algorithm (GA) to perform two stage optimization in which the former algorithm finds the optimal solution and the latter algorithm starts from where the first one is converged. …”
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