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  1. 1
    Hybrid firefly and particle swarm optimization algorithm for multi-objective optimal power flow with distributed generation

    Hybrid firefly and particle swarm optimization algorithm for multi-objective optimal power flow with distributed generation by Khan, Abdullah

    Published 2022
    “…A new meta-heuristic optimization technique called the Slime Mould Algorithm (SMA) approach has a high convergence rate or a few iterations and superior optimization indices analyzed against other algorithms. …”
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  2. 2
    Development of an augmented reality based facility layout planning and optimization / Tan Chee Hau

    Development of an augmented reality based facility layout planning and optimization / Tan Chee Hau by Tan , Chee Hau

    Published 2020
    “…This study presents an augmented reality (AR) based facility layout planning (FLP) system with an optimization algorithm to assist facility layout designers in decision making. …”
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  3. 3
    Modified ant colony optimization algorithms for deterministic and stochastic inventory routing problems / Lily Wong

    Modified ant colony optimization algorithms for deterministic and stochastic inventory routing problems / Lily Wong by Lily , Wong

    Published 2018
    “…The computational results also show that the algorithms of population based ACO performs better than the algorithms of non-population based ACO. …”
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  4. 4
    Eccentricity Optimization of NGB System by using Multi-Objective Genetic Algorithm

    Eccentricity Optimization of NGB System by using Multi-Objective Genetic Algorithm by Yazdi, H.M., Ramli Sulong, N.H.

    Published 2009
    “…In this study, a new method for designing a particular braced system by using multi-objective genetic algorithm is proposed. …”
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  5. 5
    A novel hybrid evolutionary data-intelligence algorithm for irrigation and power production management: Application to multi-purpose reservoir systems

    A novel hybrid evolutionary data-intelligence algorithm for irrigation and power production management: Application to multi-purpose reservoir systems by Yaseen Z.M., Ehteram M., Hossain M.S., Fai C.M., Koting S.B., Mohd N.S., Jaafar W.Z.B., Afan H.A., Hin L.S., Zaini N., Ahmed A.N., El-Shafie A.

    Published 2023
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  6. 6
    Location and sizing of distributed generation photovoltaic (DGPV) via multi-objective pareto algorithm

    Location and sizing of distributed generation photovoltaic (DGPV) via multi-objective pareto algorithm by Mustaffa S.A.S., Musirin I., Othman M.M., Mansor M.H.

    Published 2023
    Conference Paper
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  7. 7
    A Novel Hybrid Evolutionary Data-Intelligence Algorithm for Irrigation and Power Production Management: Application to Multi-Purpose Reservoir Systems

    A Novel Hybrid Evolutionary Data-Intelligence Algorithm for Irrigation and Power Production Management: Application to Multi-Purpose Reservoir Systems by Yaseen, Zaher, Ehteram, Mohammad, Hossain, Md., Fai, Chow, Koting, Suhana, Mohd, Nuruol Syuhadaa, Jaafar, Wan Zurina Wan, Afan, Haitham Abdulmohsin, Lai, Sai Hin, Zaini, Nuratiah, Ahmed, Ali, El-Shafie, Ahmed

    Published 2019
    “…The proposed hybrid modelling method was applied for the multi-purpose reservoir system of Bhadra Dam, which is located in the state of Karnataka, India. The average monthly demand for irrigation is 142.14 (106 m3), and the amount of released water based on the new hybrid algorithm (NHA) is 141.25 (106 m3). …”
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  8. 8
    New robot navigation algorithm for arbitrary unknown dynamic environments based on future prediction and priority behavior

    New robot navigation algorithm for arbitrary unknown dynamic environments based on future prediction and priority behavior by Tang, Sai Hong, Kamil, Farah, Zulkifli, Norzima, Ahmad, Siti Azfanizam, Khaksar, Weria, Moghrabiah, Mohammed Yasser

    Published 2017
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  9. 9
    Landslide susceptibility mapping using decision-tree based chi-squared automatic interaction detection (CHAID) and logistic regression (LR) integration

    Landslide susceptibility mapping using decision-tree based chi-squared automatic interaction detection (CHAID) and logistic regression (LR) integration by Althuwaynee, Omar F., Pradhan, Biswajeet, Ahmad, Noordin

    Published 2014
    “…This new algorithm was developed to overcome the subjectivity of the manual categorization of scale data of landslide conditioning factors, and to predict rainfall-induced susceptibility map in Kuala Lumpur city and surrounding areas using geographic information system (GIS). …”
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  10. 10
    Public healthcare facility planning in Malaysia : Using location allocation models / S. Sarifah Radiah Shariff

    Public healthcare facility planning in Malaysia : Using location allocation models / S. Sarifah Radiah Shariff by S. Sarifah Radiah, Shariff

    Published 2012
    “…There is still lack of formal analysis being carried out. As a result the decisions can very often be far from optimal. This study attempts to develop some mathematical location-allocation models for the locations of the public health care facilities in Malaysia. …”
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  11. 11
    Assessment of suitable hospital location using GIS and machine learning

    Assessment of suitable hospital location using GIS and machine learning by Almansi, Khaled Y. M.

    Published 2022
    “…Choosing the suitable site for a new hospital is a difficult aspect of decision-making for the decision-makers. …”
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  12. 12
    Machine-learning-based adaptive distance protection relay to eliminate zone-3 protection under-reach problem on statcom-compensated transmission lines

    Machine-learning-based adaptive distance protection relay to eliminate zone-3 protection under-reach problem on statcom-compensated transmission lines by Aker, Elhadi Emhemed Alhaaj Ammar

    Published 2020
    “…The BayesNet provides the best integrated MLADR fault classifier model better at a 5 % significance level than other deployed algorithms in the intelligent supervised learning model realization. …”
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  13. 13
    Optimal load shedding for microgrids with unlimited DGs

    Optimal load shedding for microgrids with unlimited DGs by Mustapha, Nik Mohd. Zaitul Akmal

    Published 2013
    “…The main objective of this project is to optimize the load shedding in the micro grid system with unlimited DG’s by applied optimization technique Gravitational Search Algorithm (GSA). …”
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  14. 14
    A new optimisation framework based on Monte Carlo embedded hybrid variant mean–variance mapping considering uncertainties

    A new optimisation framework based on Monte Carlo embedded hybrid variant mean–variance mapping considering uncertainties by Norhafidzah, Mohd Saad, Muhamad Zahim, Sujod, Mohd Ikhwan, Muhammad Ridzuan, Mohammad Fadhil, Abas, Mohd Shawal, Jadin, Mohd Fadzil, Abdul Kadir

    Published 2024
    “…The findings showed that uncertainty significantly impacted the optimal location and size of PVDG in the RDN.…”
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  15. 15
    Prediction accuracy improvement for Bitcoin market prices based on symmetric volatility information using artificial neural network approach

    Prediction accuracy improvement for Bitcoin market prices based on symmetric volatility information using artificial neural network approach by Othman, Anwar Hasan Abdullah, Kassim, Salina, Rosman, Romzie, Redzuan, Nur Harena

    Published 2020
    “…The optimal model employs a multilayer neural network (NN) along with an “optimised operator” with the ability to locate the optimal factor loading of the applied algorithm. …”
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  16. 16
    An optimization approach for a joint location inventory model considering quantity discount policy

    An optimization approach for a joint location inventory model considering quantity discount policy by Firoozi, Zahra, Tang, Sai Hong, Ariafar, Shahram, Mohd Ariffin, Mohd Khairol Anuar

    Published 2013
    “…Joint location inventory problems involve determination of two key decisions in a supply chain network: inventory control decisions and facility location decisions. …”
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  17. 17
    Classification model for hotspot occurrences using a decision tree method

    Classification model for hotspot occurrences using a decision tree method by Sitanggang, Imas Sukaesih, Ismail, Mohd Hasmadi

    Published 2011
    “…The model can be used to predict hotspot occurrences in new locations for fire prediction.…”
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  18. 18
    Extended spatial decision tree algorithm for classifying hotspot occurrence

    Extended spatial decision tree algorithm for classifying hotspot occurrence by Sitanggang, Imas Sukaesih

    Published 2013
    “…Therefore spatial objects should be included in forest fires datasets for classifying hotspots occurrence in order to obtain the classifiers with high accuracy. This work proposes a new spatial decision tree algorithm namely the extended spatial ID3 decision tree algorithm to classify hotspots occurrence from a forest fires dataset that contains point, line and polygon features. …”
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  19. 19
    Opposition-based Whale Optimization Algorithm

    Opposition-based Whale Optimization Algorithm by Alamri, Hammoudeh S., Alsariera, Yazan A., Kamal Z., Zamli

    Published 2018
    “…In order to improve solution accuracy and reliability, this paper proposes a new algorithm based on WOA. The new algorithm called Opposition-based Whale Optimization (OWOA). …”
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  20. 20
    Fuzzy adaptive teaching learning-based optimization for solving unconstrained numerical optimization problems

    Fuzzy adaptive teaching learning-based optimization for solving unconstrained numerical optimization problems by Din, Fakhrud, Khalid, Shah, Fayaz, Muhammad, Gwak, Jeonghwan, Kamal Z., Zamli, Mashwani, Wali Khan

    Published 2022
    “…To overcome these drawbacks and to achieve an appropriate percentage of exploitation and exploration, this study presents a new modified teaching learning-based optimization algorithm called the fuzzy adaptive teaching learning-based optimization algorithm. …”
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