Guided Local Search
Guided Local Search is a metaheuristic optimization framework that extends local search algorithms by systematically penalizing entrenched suboptimal solution features to escape local optima and guide the search toward higher-quality regions of the solution space.
197
Publications
14K
Citations
541
Authors
300
Institutions
Publications per year
2017–2026
80
Variants
Gls
Parents
197
1–5 of 197
541
5
h-index
3
h-index
3
h-index
3
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3
h-index
1–5 of 541
300

University of Nottingham
Nottingham, United Kingdom
8 h-index
15 publications
461 citations

University of Essex
Colchester, United Kingdom
7 h-index
10 publications
918 citations
KU Leuven
Leuven, Belgium
5 h-index
18 publications
2.4K citations
Islamic Azad University of Urmia
Urmia, Iran
4 h-index
8 publications
1.3K citations
Torrens University Australia
Adelaide, Australia
4 h-index
4 publications
635 citations

Zagazig University
Zagazig, Egypt
4 h-index
6 publications
2K citations
Liaoning Technical University
Fuxin, China
3 h-index
11 publications
3.3K citations
University of Nottingham Ningbo China
Ningbo, China
3 h-index
4 publications
113 citations
1–8 of 300
13 publications · 1.4K citations
12
h-index
9 publications · 491 citations
9
h-index
8 publications · 320 citations
8
h-index
8 publications · 1.3K citations
8
h-index
6 publications · 212 citations
6
h-index
1–5