Search Results - (( solution population techniques ) OR ( evolution computing techniques ))

Refine Results
  1. 1

    Hybrid Harmony Search Algorithm Integrating Differential Evolution and Lévy Flight for Engineering Optimization by Qin, Feng, AZLAN, MOHD ZAIN, KAI-QING, ZHOU, Norfadzlan, Yusup, DIDIK DWI, PRASETYA, ROZITA, ABDUL JALIL, ZAHEERA, ZAINAL ABIDIN, MAHADI, BAHARI, YUSRI, KAMIN, MAZLINA, ABDUL MAJID

    Published 2025
    “…This paper proposes HSA-DELF, a novel hybrid algorithm that combines differential evolution (DE) and Lévy flight (LF) techniques to enhance the performance of HSA. HSA-DELF leverages multi-mutation strategies of DE and LF random walk combined with weighted individuals to improve exploration and exploitation based on population fitness standard deviation comparison, and adopts pairwise iterative updates of the population to achieve faster convergence and higher solution quality. …”
    Get full text
    Get full text
    Get full text
    Article
  2. 2

    Hybrid harmony search algorithm integrating differential evolution and lévy flight for engineering optimization by Qin, Feng, Azlan, Mohd Zain, Zhou, Kaiqing, Norfadzlan, Yusup, Dwi Prasetya, Didik, Rozita, Abdul Jalil, Zaheera, Zainal Abidin, Mahadi, Bahari, Yusri, Kamin, Mazlina, Abdul Majid

    Published 2025
    “…This paper proposes HSA-DELF, a novel hybrid algorithm that combines differential evolution (DE) and Lévy flight (LF) techniques to enhance the performance of HSA. HSA-DELF leverages multi-mutation strategies of DE and LF random walk combined with weighted individuals to improve exploration and exploitation based on population fitness standard deviation comparison, and adopts pairwise iterative updates of the population to achieve faster convergence and higher solution quality. …”
    Get full text
    Get full text
    Get full text
    Article
  3. 3

    Modification of species-based differential evolution for multimodal optimization by Al Idrus, Said Iskandar, Syahputra, Hermawan, Firdaus, Muliawan

    Published 2015
    “…Optimization problem is the problem of maximizing or minimizing a function of one variable or many variables, which include unimodal and multimodal functions. Differential Evolution (DE), is a random search technique using vectors as an alternative solution in the search for the optimum. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  4. 4
  5. 5

    Design of digital circuit structure based on evolutionary algorithm method by Chong, Kok Hen, Aris, Ishak, Bashi, Senan Mahmood, Koh, Johnny Siaw Paw

    Published 2008
    “…This method is based on randomized search techniques mimicking natural genetic evolution. The proposed method is an iterative procedure that consists of a constant-size population of individuals, each one encoding a possible solution in a given problem space. …”
    Get full text
    Get full text
    Get full text
    Article
  6. 6

    Midrange exploration exploitation searching particle swarm optimization in dynamic environment by Nurul Izzatie Husna, Fauzi, Zalili, Musa, Nor Saradatul Akmar, Zulkifli

    Published 2021
    “…The main objective of this improvement is to enhance the searching ability of poor particles in finding the best solution in dynamic problems. In MEESPSO, we still applied the basic process in conventional Particle Swarm Optimization such as initialization of particle location, population evolution, and updating particle location. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  7. 7

    Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh by Rawaa Dawoud Hassan, Al-Dabbagh

    Published 2015
    “…These comparisons are conducted in terms of the solution precision, successful rate and robustness over thirty-three standard and transformed benchmark functions. …”
    Get full text
    Get full text
    Thesis
  8. 8

    Development of heuristic methods based on genetic algorithm (GA) for solving vehicle routing problem by Ismail, Zuhaimy, Nurhadi, Irhamah, Zainuddin, Zaitul Marlizawati

    Published 2008
    “…Simulated Annealing is a global optimization technique which traverses the search space by generating neighboring solutions of the current solution. …”
    Get full text
    Get full text
    Monograph
  9. 9

    Coordination of PSS and PID controller for power system stability enhancement - overview by Kasilingam G., Pasupuleti J.

    Published 2023
    “…Research showed the design of controllers based on conventional methods; soft computing and population based algorithms suffer from limitations. …”
    Article
  10. 10

    Representation Of Rational Bézier Quadratics Using Genetic Algorithm, Differential Evolution And Particle Swarm Optimization by Yahya, Zainor Ridzuan

    Published 2013
    “…For each proposed soft computing technique, parameter tuning is done as an essential study. …”
    Get full text
    Get full text
    Thesis
  11. 11

    Overview of metaheuristic: classification of population and trajectory by Zainul Rashid, Zarina

    Published 2010
    “…One of the classifications is population vs. trajectory. In this paper, several algorithm techniques based on population and trajectory characteristics are discussed. …”
    Get full text
    Get full text
    Monograph
  12. 12

    Differential evolution technique of HEPWM for three-phase voltage source inverter by Azziddin, Mohamad Razali, Kamisman, Norazelina, Jurifa, Mat Lazi, Bahari, Norhazilina

    Published 2016
    “…This paper presents the execution of Differential Evolution (DE) algorithm in order to understand the principle operation of Harmonic Elimination Pulse-Width Modulation (HEPWM) switching technique. …”
    Get full text
    Get full text
    Get full text
    Article
  13. 13

    Harmonic Elimination Pulse Width Modulation Using Differential Evolution Technique For Three Phase Voltage Source Inverter by Kamisman, Norazelina

    Published 2018
    “…Differential Evolution (DE) has been gaining popularity among researchers as an effective yet simple evolutionary algorithm to solve the optimization problems. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
  14. 14
  15. 15

    HEAT EXCHANGER NETWORK SYNTHESIS AND OPTIMIZATION BY PINCH ANALYSIS AND DIFFERENTIAL EVOLUTION METHOD by NGO , THI PHUONG THUY

    Published 2016
    “…This metadology way uses an algorithm which combines Pinch Design Method and Differential Evolution Method. In this technique, the Heat Exchanger Network synthesis is carried out in three levels. …”
    Get full text
    Get full text
    Thesis
  16. 16

    Decomposition–based multi-objective differential evolution for extractive multi-document automatic text summarization by Wahab, Muhammad Hafizul Hazmi, Abdul Hamid, Nor Asilah Wati, Subramaniam, Shamala, Latip, Rohaya, Othman, Mohamed

    Published 2024
    “…However, the current approach faces a significant hurdle due to the computational intensity of the process, particularly when employing complex optimization techniques like swarm intelligence optimization alongside a costly ATS repair operator. …”
    Get full text
    Get full text
    Article
  17. 17
  18. 18

    Computational intelligence based technique for solving economic dispatch problem / Nur Azzammudin Rahmat by Rahmat, Nur Azzammudin

    Published 2016
    “…Therefore, this research proposes a new computational technique termed as Differential Evolution Immunized Ant Colony Optimization (DEIANT) as an approach to solve the complex economic dispatch process. …”
    Get full text
    Get full text
    Book Section
  19. 19

    Major issues in the development of a Hacker's Code of Ethics / Ahmad Hafidz Baharom Alam Shah by Baharom Alam Shah, Ahmad Hafidz

    Published 2005
    “…The first day, the computer was invented. The next day it was hacked. …”
    Get full text
    Get full text
    Thesis
  20. 20

    Two level Differential Evolution algorithms for ARMA parameters estimatio by Salami, Momoh Jimoh Emiyoka, Tijani, Ismaila, Aibinu, Abiodun Musa

    Published 2013
    “…An Evolutionary Algorithm (EA) comprising two-level Differential Evolution (DE) optimization scheme is proposed. The first level searches for the appropriate model order while the second level computes the optimal/sub-optimal corresponding parameters. …”
    Get full text
    Get full text
    Get full text
    Proceeding Paper