Solving Multiobjective Optimization Problems Using an Artificial Immune System

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Coello, Carlos A. Coello, and Nareli Cruz Cort�s. “Solving Multiobjective Optimization Problems Using an Artificial Immune System”. Genetic Programming and Evolvable Machines, vol. 6, no. 2, 2005, pp. 163-90, https://doi.org/10.1007/s10710-005-6164-x.
Coello, C. A. C., & Cort�s, N. C. (2005). Solving Multiobjective Optimization Problems Using an Artificial Immune System. Genetic Programming and Evolvable Machines, 6(2), 163-190. https://doi.org/10.1007/s10710-005-6164-x
Coello CAC, Cort�s NC. Solving Multiobjective Optimization Problems Using an Artificial Immune System. Genetic Programming and Evolvable Machines. 2005;6(2):163-90.
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Science: Mathematics: Instruments and machines: Electronic computers. Computer science266
Technology: Mechanical engineering and machinery152
Technology: Engineering (General). Civil engineering (General)151
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics143
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software85
The first research to cite this article was titled Hybrid enhanced genetic algorithm to select optimal machining parameters in turning operation and was published in 2006. The most recent citation comes from a 2024 study titled Hybrid enhanced genetic algorithm to select optimal machining parameters in turning operation . This article reached its peak citation in 2022 , with 67 citations.It has been cited in 188 different journals, 15% of which are open access. Among related journals, the Applied Soft Computing cited this research the most, with 29 citations. The chart below illustrates the annual citation trends for this article.
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