Dragonfly algorithm: a new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems

Title
Dragonfly algorithm: a new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems
Authors
Keywords
Optimization, Multi-objective optimization, Constrained optimization, Binary optimization, Benchmark, Swarm intelligence, Evolutionary algorithms, Particle swarm optimization, Genetic algorithm
Journal
NEURAL COMPUTING & APPLICATIONS
Volume 27, Issue 4, Pages 1053-1073
Publisher
Springer Nature
Online
2015-05-28
DOI
10.1007/s00521-015-1920-1

Ask authors/readers for more resources

Reprint

Contact the author

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started