Barnacles Mating Optimizer: An Evolutionary Algorithm for Solving Optimization

被引:0
|
作者
Sulaiman, Mohd Herwan [1 ]
Mustaffa, Zuriani [2 ]
Saari, Mohd Mawardi [1 ]
Daniyal, Hamdan [1 ]
Musirin, Ismail [3 ]
Daud, Mohd Razali [1 ]
机构
[1] Univ Malaysia Pahang, Fac Elect & Elect Engn, Pekan, Pahang, Malaysia
[2] Univ Malaysia Pahang, Fac Comp Syst & Software Engn, Gambang, Pahang, Malaysia
[3] Univ Teknol MARA, Fac Elect Engn, Shah Alam, Malaysia
关键词
BMO; evolutionary algorithm; optimization; swarm intelligence;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A new evolutionary algorithm called Barnacles Mating Optimizer (BMO) to solve optimization problems is presented in this paper. BMO is inspired from the behavior of barnacle' mating in nature. They are known as micro-organisms that existed since Jurassic times and classified as hermaphroditic micro-organisms. They have a unique feature which is they own long penises that can be said as the longest among microorganisms, relatively to size of their body. To show the effectiveness of proposed BMO in solving optimization problems, a set of 23 mathematical functions are used to test the characteristic of BMO in finding the optimal solutions especially in unimodal, multimodal and composite test functions. Comparisons with other evolutionary and swarm algorithms also will he presented.
引用
收藏
页码:99 / 104
页数:6
相关论文
共 50 条
  • [31] Sine–Cosine-Barnacles Algorithm Optimizer with disruption operator for global optimization and automatic data clustering
    Elaziz, Mohamed Abd
    Ewees, Ahmed A.
    Al-qaness, Mohammed A.A.
    Abualigah, Laith
    Ibrahim, Rehab Ali
    Expert Systems with Applications, 2022, 207
  • [32] Sine-Cosine-Barnacles Algorithm Optimizer with disruption operator for global optimization and automatic data clustering
    Abd Elaziz, Mohamed
    Ewees, Ahmed A.
    Al-qaness, Mohammed A. A.
    Abualigah, Laith
    Ibrahim, Rehab Ali
    EXPERT SYSTEMS WITH APPLICATIONS, 2022, 207
  • [33] Hybrid Evolutionary Algorithm for Solving Global Optimization Problems
    Thangaraj, Radha
    Pant, Millie
    Abraham, Ajith
    Badr, Youakim
    HYBRID ARTIFICIAL INTELLIGENCE SYSTEMS, 2009, 5572 : 310 - +
  • [34] A hybrid evolutionary algorithm for solving function optimization problems
    Gu, Fahui
    Li, Kangshun
    Liu, Yue
    PROCEEDINGS OF 2016 12TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY (CIS), 2016, : 526 - 529
  • [35] Extracting the Parameters of Three-Diode Model of Photovoltaics Using Barnacles Mating Optimizer
    Agwa, Ahmed M.
    Elsayed, Salah K.
    Elattar, Ehab E.
    SYMMETRY-BASEL, 2022, 14 (08):
  • [36] Bird Mating Optimizer for Combinatorial Optimization Problems
    Arram, Anas
    Ayob, Masri
    Kendall, Graham
    Sulaiman, Alaa
    IEEE ACCESS, 2020, 8 (08) : 96845 - 96858
  • [37] Water Flow Optimizer: A Nature-Inspired Evolutionary Algorithm for Global Optimization
    Luo, Kaiping
    IEEE TRANSACTIONS ON CYBERNETICS, 2022, 52 (08) : 7753 - 7764
  • [38] A Honeybee Mating Optimization Algorithm For Solving The Static Bike Rebalancing Problem
    Sebai, Mariem
    Fatnassi, Ezzeddine
    Rejeb, Lilia
    PROCEEDINGS OF THE 2019 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE COMPANION (GECCCO'19 COMPANION), 2019, : 77 - 78
  • [39] Improved evolutionary algorithm as function optimizer
    Bandyopadhyay, Sanghamitra
    Maulik, Ujjwal
    2000, IETE, New Delhi, India (46) : 1 - 2
  • [40] Boosted Barnacles Algorithm Optimizer: Comprehensive Analysis for Social IoT Applications
    Al-Qaness, Mohammed A. A.
    Ewees, Ahmed A. A.
    Abd Elaziz, Mohamed
    Dahou, Abdelghani
    Al-Betar, Mohammed Azmi
    Aseeri, Ahmad O. O.
    Yousri, Dalia
    Ibrahim, Rehab Ali
    IEEE ACCESS, 2023, 11 : 73062 - 73079