Heuristic Optimization is a computational methodology within optimization theory that employs heuristic techniques to efficiently identify satisfactory solutions to complex problems where exact methods are computationally infeasible.
20.9K
Publications
1.4M
Citations
38.5K
Authors
5.8K
Institutions
Publications per year
2017–2026
7.8K
Publications
20.9K
1–5 of 20.9K
Authors
38.5K
- SM
65
h-index
- LA
49
h-index
- AK
47
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- GL
45
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- MG
44
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1–5 of 38.5K
Institutions
5.8K
Iran University of Science and Technology
Tehran, Iran
64 h-index
434 publications
31.6K citations
Université de Montréal
Montreal, Canada
63 h-index
173 publications
48.7K citations
Zagazig University
Zagazig, Egypt
58 h-index
208 publications
24.1K citations
University of Tehran
Tehran, Iran
57 h-index
300 publications
18K citations
HEC Montréal
Montreal, Canada
56 h-index
134 publications
20.2K citations
University of Nottingham
Nottingham, United Kingdom
54 h-index
335 publications
25.6K citations
Amirkabir University of Technology
Tehran, Iran
53 h-index
303 publications
23.8K citations
Tsinghua University
Beijing, China
53 h-index
296 publications
21K citations
1–8 of 5.8K
Venues
- European Journal of Operational Research
434 publications · 45.5K citations
113
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- Applied Soft Computing
388 publications · 29.1K citations
94
h-index
- Computers & Operations Research
402 publications · 30.7K citations
93
h-index
- IEEE Access
476 publications · 26.5K citations
80
h-index
- Expert Systems with Applications
277 publications · 23.7K citations
80
h-index
1–5