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A novel hybrid PSO–GWO approach for unit commitment problem

A novel hybrid PSO–GWO approach for unit commitment problem

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_1007_s00521_015_1962_4

A novel hybrid PSO–GWO approach for unit commitment problem

About this item

Full title

A novel hybrid PSO–GWO approach for unit commitment problem

Author / Creator

Publisher

London: Springer London

Journal title

Neural computing & applications, 2016-08, Vol.27 (6), p.1643-1655

Language

English

Formats

Publication information

Publisher

London: Springer London

More information

Scope and Contents

Contents

Particle swarm optimization algorithm is a inhabitant-based stochastic search procedure, which provides a populace-based search practice for getting the best solution from the problem by taking particles and moving them around in the search space and efficient for global search. Grey Wolf Optimizer is a recently developed meta-heuristic search algo...

Alternative Titles

Full title

A novel hybrid PSO–GWO approach for unit commitment problem

Authors, Artists and Contributors

Author / Creator

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_crossref_primary_10_1007_s00521_015_1962_4

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_1007_s00521_015_1962_4

Other Identifiers

ISSN

0941-0643

E-ISSN

1433-3058

DOI

10.1007/s00521-015-1962-4

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