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

来源：

2018 IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC CONTROL AND INTELLIGENT SYSTEMS (I2CACIS) | 2018年

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

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页码：99 / 104

页数：6

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