Loading...
Please wait, while we are loading the content...
Similar Documents
Moth–Flame Optimization (MFO) Algorithm
| Content Provider | Scilit |
|---|---|
| Author | Cuevas, Erik Rodríguez, Alma |
| Copyright Year | 2020 |
| Description | This chapter describes the inspiration of the Moth–Flame Optimization (MFO) algorithm, as well as its search strategy that it implements to solve optimization problems. Throughout the chapter, the operators used by the MFO are defined with the objective of analyzing the theoretical concepts involved that allow the computational implementation of the algorithm in the $MATLAB^{®}$ environment. Then, the algorithm is used to solve optimization problems. The examples illustrate the use of MFO for solving problems with and without constraints. Book Name: Metaheuristic Computation with MATLAB® |
| Related Links | https://content.taylorfrancis.com/books/download?dac=C2019-0-08346-3&isbn=9781003006312&doi=10.1201/9781003006312-4&format=pdf |
| Ending Page | 137 |
| Page Count | 25 |
| Starting Page | 113 |
| DOI | 10.1201/9781003006312-4 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2020-07-07 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Metaheuristic Computation with Matlab® Cybernetical Science Algorithm Implementation Matlab Inspiration Flame Optimization |
| Content Type | Text |
| Resource Type | Chapter |