A comparative study on recently-introduced nature-based global optimization methods in complex mechanical system design
DOI10.3390/a10040120zbMath1461.90193OpenAlexW2765104507WikidataQ125019434 ScholiaQ125019434MaRDI QIDQ2633187
Abdulbaset El Hadi Saad, Zuomin Dong, Meysam Karimi
Publication date: 8 May 2019
Published in: Algorithms (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.3390/a10040120
bat algorithmfirefly algorithmartificial bee colonycuckoo searchgrey wolf optimizerflower pollination algorithmnature based optimization
Numerical mathematical programming methods (65K05) Approximation methods and heuristics in mathematical programming (90C59)
Uses Software
Cites Work
- Unnamed Item
- Multiobjective cuckoo search for design optimization
- An efficient two phase approach for solving reliability-redundancy allocation problem using artificial bee colony technique
- A literature survey of benchmark functions for global optimisation problems
- An efficient and robust artificial bee colony algorithm for numerical optimization
- Gbest-guided artificial bee colony algorithm for numerical function optimization
- A hybrid PSO-GA algorithm for constrained optimization problems
- Parameter setting in evolutionary algorithms.
- Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: A survey of the state-of-the-art
- An easily understandable grey wolf optimizer and its application to fuzzy controller tuning
- A direct search algorithm for global optimization
- Branch-and-bound algorithms: a survey of recent advances in searching, branching, and pruning
- A modified artificial bee colony algorithm
- An improved ant colony algorithm for solving the path planning problem of the omnidirectional mobile vehicle
- A novel hybrid bat algorithm with harmony search for global numerical optimization
- A comparative study of artificial bee colony algorithm
- A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm
- Solving structural engineering design optimization problems using an artificial bee colony algorithm
- A New Metaheuristic Bat-Inspired Algorithm
- The Tunneling Algorithm for the Global Minimization of Functions
This page was built for publication: A comparative study on recently-introduced nature-based global optimization methods in complex mechanical system design