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Solution of non-convex economic load dispatch problem using Grey Wolf Optimizer

Solution of non-convex economic load dispatch problem using Grey Wolf Optimizer

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_1007_s00521_015_1934_8

Solution of non-convex economic load dispatch problem using Grey Wolf Optimizer

About this item

Full title

Solution of non-convex economic load dispatch problem using Grey Wolf Optimizer

Publisher

London: Springer London

Journal title

Neural computing & applications, 2016-07, Vol.27 (5), p.1301-1316

Language

English

Formats

Publication information

Publisher

London: Springer London

More information

Scope and Contents

Contents

Grey Wolf Optimizer (GWO) is a recently developed meta-heuristic search algorithm inspired by grey wolves (Canis lupus), which simulate the social stratum and hunting mechanism of grey wolves in nature and based on three main steps of hunting: searching for prey, encircling prey and attacking prey. This paper presents the application of GWO algorit...

Alternative Titles

Full title

Solution of non-convex economic load dispatch problem using Grey Wolf Optimizer

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_crossref_primary_10_1007_s00521_015_1934_8

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_1007_s00521_015_1934_8

Other Identifiers

ISSN

0941-0643

E-ISSN

1433-3058

DOI

10.1007/s00521-015-1934-8

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