Search Results - (feed OR need)-forward ((prediction algorithm) OR (pollination algorithm))

Refine Results
  1. 1

    A Single Objective Flower Pollination Algorithm for Modeling the Horizontal Flexible Plate System by Siti Zakiah, Maseri, Muhamad Sukri, Hadi, Annisa, Jamali, Hanim, Mohd Yatim, Mat Hussin, Ab Talib, Intan Zaurah, Mat Darus

    Published 2020
    “…However, this structure has a disadvantage that needs to be avoided which is easy to vibrate. Thus, this project presents the modelling of horizontal flexible plate system using bio-inspired flower pollination algorithm. …”
    Get full text
    Get full text
    Get full text
    Proceeding
  2. 2

    Flower pollination algorithm for data generation and analytics - a diagnostic analysis by Odili, Julius Beneoluchi, Noraziah, Ahmad, Babalola, Asegunloluwa Eunice

    Published 2020
    “…After a number of empirical evaluations, the study finds out that the Flower Pollination Algorithm is not only a fast technique but also obtained good results when the appropriate iteration and flower population is used.…”
    Get full text
    Get full text
    Get full text
    Article
  3. 3

    Dynamic Probability Selection for Flower Pollination Algorithm based on Metropolis-hastings Criteria by Zamli, Kamal Zuhairi, Din, Fakhrud, Nasser, Abdullah, Ramli, Nazirah, Mohamed, Noraini

    Published 2021
    “…Flower Pollination Algorithm (FPA) is a relatively new meta-heuristic algorithm that adopts its metaphor from the proliferation role of flowers in plants. …”
    Get full text
    Get full text
    Article
  4. 4

    An alternative method to solve combined economic emission dispatch problems using flower pollination algorithm by Hong, Mee Song

    Published 2016
    “…Flower Pollination Algorithm (FPA) is a new biologically inspired meta-heuristic optimization technique based the pollination process of flowers. …”
    Get full text
    Get full text
    Thesis
  5. 5

    An elitist-flower pollination-based strategy for constructing sequence and sequence-less t-way test suite by Abdullah, Nasser, Kamal Z., Zamli, Alsewari, Abdulrahman A., Ahmed, Bestoun S.

    Published 2018
    “…In line with such a need, this paper presents a unified strategy based on the new meta-heuristic algorithm, called the elitist flower pollination algorithm (eFPA), for sequence and sequence-less coverage. …”
    Get full text
    Get full text
    Get full text
    Article
  6. 6

    Comparative Study between Flower Pollination Algorithm and Cuckoo Search Algorithm for t-way Test Data Generation by Abdullah, Nasser, Kamal Z., Zamli

    Published 2018
    “…This paper presents a comparative study between two meta-heuristic strategies for t-way test data generation: Flower Pollination Algorithm (FPA) and Cuckoo Search (CS). …”
    Get full text
    Get full text
    Get full text
    Article
  7. 7

    Dynamic probability selection for flower pollination algorithm based on metropolis-hastings criteria by Zamli, Kamal Zuhairi, Din, Fakhrud, Nasser, Abdullah, Ramli, Nazirah, Mohamed, Noraini

    Published 2021
    “…Flower Pollination Algorithm (FPA) is a relatively new meta-heuristic algorithm that adopts its metaphor from the proliferation role of flowers in plants. …”
    Get full text
    Get full text
    Get full text
    Article
  8. 8

    Self-adaptive Population Size Strategy Based on Flower Pollination Algorithm for T-Way Test Suite Generation by Abdullah, Nasser, Kamal Z., Zamli

    Published 2019
    “…In the proposed algorithm, the population size of FPA is dynamically varied based on the current need of the search process. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  9. 9

    Comparative Performance Analysis of Flower Pollination Algorithm and Harmony Search based strategies: A Case Study of Applying Interaction Testing in the Real World by Nasser, Abdul B., Alsewari, Abdulrahman A., Mu’azu, Aminu A., Kamal Z., Zamli

    Published 2016
    “…In this paper, we present a comparison between two strategies, Harmony Search (HS) and Flower Pollination Algorithm (FPA) based strategies. Our experiments have performed on a real-world case study. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  10. 10

    A modified flower pollination algorithm and carnivorous plant algorithm for solving engineering optimization problem by Ong, Kok Meng

    Published 2021
    “…Flower pollination algorithm (FPA) is a biomimicry optimisation algorithm inspired by natural pollination. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
  11. 11

    A Standard Deviation Selection in Evolutionary Algorithm for Grouper Fish Feed Formulation by Soong, Cai Juan, Razamin, Ramli, Rosshairy, Abdul Rahman

    Published 2016
    “…In order to farm grouper fish, there is a need to have prior knowledge of the proper nutrients needed because there is no exact data available. …”
    Get full text
    Get full text
    Get full text
    Article
  12. 12

    Sequence and sequence-less t-way test suite generation strategy based on the elitist flower pollination algorithm by Mohammed Abdullah, Abdullah Nasser

    Published 2018
    “…Addressing these aforementioned issues and complementing the existing sequence based strategies such as t-SEQ, Sequence Covering Array Generator and Bee Algorithm, this thesis presents a unified strategy based on the new meta-heuristic algorithm, called the Elitist Flower Pollination Algorithm (eFPA). …”
    Get full text
    Get full text
    Thesis
  13. 13

    A standard deviation selection in evolutionary algorithm for grouper fish feed formulation by Soong, Cai Juan, Ramli, Razamin, Abdul Rahman, Rosshairy

    Published 2016
    “…Malaysia is one of the major producer countries for fishery production due to its location in the equatorial environment.Grouper fish is one of the potential markets in contributing to the income of the country due to its desirable taste, high demand and high price.However, the demand of grouper fish is still insufficient from the wild catch.Therefore, there is a need to farm grouper fish to cater to the market demand.In order to farm grouper fish, there is a need to have prior knowledge of the proper nutrients needed because there is no exact data available.Therefore, in this study, primary data and secondary data are collected even though there is a limitation of related papers and 30 samples are investigated by using standard deviation selection in Evolutionary algorithm.Thus, this study would unlock frontiers for an extensive research in respect of grouper fish feed formulation.Results shown that the fitness of standard deviation selection in evolutionary algorithm is applicable.The feasible and low fitness, quick solution can be obtained. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  14. 14
  15. 15
  16. 16

    Performance properties optimization of triaxial ceramic-palm oil fuel ash by employing Taguchi design and flower pollination algorithm by Zainudin, Azlan

    Published 2018
    “…The excessive cost and time consumed is a main issue if high number of experiments need to be performed. Primarily, this research is about the optimization of triaxial ceramic employing the POFA process by the Taguchi design and Flower Pollination Algorithm (FPA). …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
  17. 17
  18. 18

    Prediction and investigation of surface response in high speed end milling of Ti-6Al-4V and optimization by genetic algorithm by Alam, Md. Shah, Amin, A. K. M. Nurul, Patwari, Muhammed Anayet Ullah, Konneh, Mohamed

    Published 2010
    “…The developed quadratic prediction model on surface roughness was coupled with the genetic algorithm to optimize the cutting parameters for the minimum surface roughness.…”
    Get full text
    Get full text
    Get full text
    Article
  19. 19

    An Improved Mathematical Model to Predict Surface Roughness Using Hybrid Method by M. F. F., Ab Rashid

    Published 2015
    “…Therefore, an accurate mathematical model to predict surface roughness is totally needed. This research presents a hybrid method which combine conventional multiple regression analysis and genetic algorithm to improve the accuracy of mathematical model to predict surface roughness. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  20. 20