Differential Evolution is a population-based optimization algorithm within evolutionary computation that iteratively improves candidate solutions by combining existing individuals through a differential mutation operator and crossover to solve real-valued function optimization problems.
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367.8K
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2017–2026
2.9K
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13.7K
- PNPonnuthurai Nagaratnam Suganthan
Nanyang Technological University, Singapore
85 publications · 21K citations
45
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- SD
37
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- WG
35
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- JZ
30
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- LW
28
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3.2K
Jadavpur University
Kolkata, India
51 h-index
280 publications
25.1K citations
Nanyang Technological University
Singapore, Singapore
50 h-index
215 publications
39.2K citations
Huazhong University of Science and Technology
Wuhan, China
47 h-index
308 publications
21.5K citations
China University of Geosciences
Wuhan, China
46 h-index
299 publications
17.7K citations
National University of Singapore
Singapore, Singapore
42 h-index
143 publications
13.4K citations
Tsinghua University
Beijing, China
41 h-index
162 publications
11.2K citations
South China University of Technology
Guangzhou, China
38 h-index
164 publications
11.5K citations
University of Maribor
Maribor, Slovenia
38 h-index
221 publications
28.5K citations
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- Applied Soft Computing
209 publications · 16.2K citations
69
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- IEEE Transactions on Evolutionary Computation
92 publications · 35.2K citations
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- Information Sciences
127 publications · 9.9K citations
57
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- IEEE Transactions on Cybernetics
79 publications · 8.3K citations
55
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- Expert Systems with Applications
131 publications · 8.9K citations
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