Analysing Equilibrium States for Population Diversity

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Lengler, Johannes, et al. “Analysing Equilibrium States for Population Diversity”. Algorithmica, 2024, https://doi.org/10.1007/s00453-024-01226-3.
Lengler, J., Opris, A., & Sudholt, D. (2024). Analysing Equilibrium States for Population Diversity. Algorithmica. https://doi.org/10.1007/s00453-024-01226-3
Lengler, Johannes, Andre Opris, and Dirk Sudholt. “Analysing Equilibrium States for Population Diversity”. Algorithmica, 2024. https://doi.org/10.1007/s00453-024-01226-3.
Lengler J, Opris A, Sudholt D. Analysing Equilibrium States for Population Diversity. Algorithmica. 2024;.
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10.1162/evco\_a\_00292 Evolutionary Computation
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  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
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Category Category Repetition
Science: Mathematics: Instruments and machines: Electronic computers. Computer science36
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software17
Science: Mathematics13
Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods12
Technology: Engineering (General). Civil engineering (General)12
Science: Biology (General)8
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware7
Technology: Mechanical engineering and machinery5
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics5
Science: Biology (General): Genetics4
Medicine: Medicine (General): Computer applications to medicine. Medical informatics3
Science: Chemistry: Organic chemistry: Biochemistry3
Science: Biology (General): Ecology3
Technology: Environmental technology. Sanitary engineering2
Science: Physics2
Science: Science (General)1
Technology: Technology (General): Industrial engineering. Management engineering1
Science: Biology (General): Evolution1
Geography. Anthropology. Recreation: Environmental sciences1
Science: Mathematics: Probabilities. Mathematical statistics1
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 36 is the most frequently represented among the references in this article. It primarily includes studies from Algorithmica The chart below illustrates the number of referenced publications per year.
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