An effective multi-objective artificial hummingbird algorithm with dynamic elimination-based crowding distance for solving engineering design problems

DOI10.1016/j.cma.2022.115223OpenAlexW4283692374MaRDI QIDQ2160426

Nima Khodadadi, Liying Wang, Weiguo Zhao, Seyed Mohammad Mirjalili, Zhenxing Zhang, SeyedAli Mirjalili

Publication date: 3 August 2022

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cma.2022.115223

zbMATH Keywords

multi-objective optimizationnon-dominated sortingengineering design problemsartificial hummingbird algorithmconvergence and diversitydynamic elimination-based crowding distance

Mathematics Subject Classification ID

Numerical optimization and variational techniques (65K10)

Related Items

LCAHA: a hybrid artificial hummingbird algorithm with multi-strategy for engineering applications ⋮ IYDSE: ameliorated Young's double-slit experiment optimizer for applied mechanics and engineering ⋮ DTCSMO: an efficient hybrid starling murmuration optimizer for engineering applications ⋮ MNEARO: a meta swarm intelligence optimization algorithm for engineering applications

Uses Software

• SPEA2
• RM-MEDA
• WCA
• MOMPA
• SSA
• WOA
• GWO
• ALO
• AHA
• AOA
• MOGOA
• MOALO
• MOGWO

Cites Work

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• Multiobjective cuckoo search for design optimization
• Survey of multi-objective optimization methods for engineering
• Multi-objective optimization of turbomachinery using improved NSGA-II and approximation model
• A taxonomy and an empirical analysis of multiple objective ant colony optimization algorithms for the bi-criteria TSP
• A modified multi-objective particle swarm optimization approach and its application to the design of a deepwater composite riser
• Generating well-distributed sets of Pareto points for engineering design using physical programming
• Multi-objective isogeometric integrated optimization for shape control of piezoelectric functionally graded plates
• Artificial hummingbird algorithm: a new bio-inspired optimizer with its engineering applications
• Starling murmuration optimizer: a novel bio-inspired algorithm for global and engineering optimization
• An efficient multi-objective reliability-based design optimization method for structure based on probability and interval hybrid model
• Material and shape optimization of bi-directional functionally graded plates by GIGA and an improved multi-objective particle swarm optimization algorithm
• MOMPA: multi-objective marine predator algorithm
• Multi-objective optimization of distributed-order fractional damping
• A comparative study of artificial bee colony algorithm
• Design of microvascular flow networks using multi-objective genetic algorithms
• A Memetic Coevolutionary Multi-Objective Differential Evolution Algorithm