Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

A hybrid differential evolution based on gaining‑sharing knowledge algorithm and harris hawks optimization.

PloS one - 1 Jan 2021

Zhong Xuxu, Duan Meijun, Zhang Xiao, Cheng Peng

Abstract excerpt

Differential evolution (DE) is favored by scholars for its simplicity and efficiency, but its ability to balance exploration and exploitation needs to be enhanced. In this paper, a hybrid differential evolution with gaining-sharing knowledge algorithm (GSK) and harris hawks optimization (HHO) is proposed, abbreviated as DEGH. Its main contribution lies are as follows. First, a hybrid mutation operator is...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Algorithms
Share to Computer Simulation
Share to Evolution, Molecular

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Models, Genetic

Share to Mutation

Share to Pattern Recognition, Automated

Source

Open in PubMed Open full text

Identifiers

PMID: 33930074
DOI: 10.1371/journal.pone.0250951
PMCID: PMC8087089

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A hybrid differential evolution based on gaining‑sharing knowledge algorithm and harris hawks optimization.PMID 33930074Read ↗

An adaptive differential evolution algorithm with elite gaussian mutation and bare-bones strategy.Semantic proximity Read ↗

An Enhanced Differential Evolution Algorithm Based on Multiple Mutation Strategies.Semantic proximity Read ↗

A Dynamic Adaptive Weighted Differential Evolutionary Algorithm.Semantic proximity Read ↗

An adaptive Cauchy differential evolution algorithm for global numerical optimization.Semantic proximity Read ↗

Differential evolution with ranking-based mutation operators.Semantic proximity Read ↗

An External Selection Mechanism for Differential Evolution Algorithm.Semantic proximity Read ↗

Constrained evolutionary optimization by means of (μ + λ)-differential evolution and improved adaptive trade-off model.Semantic proximity Read ↗

Ranking-based hierarchical random mutation in differential evolution.Semantic proximity Read ↗

A cluster-based differential evolution algorithm with external archive for optimization in dynamic environments.Semantic proximity Read ↗

Improved ensemble of differential evolution variants.Semantic proximity Read ↗

Grey Wolf Optimization algorithm based on Cauchy-Gaussian mutation and improved search strategy.Semantic proximity Read ↗

A novel differential evolution algorithm with multi-population and elites regeneration.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.