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- W2285751577 abstract "This chapter discusses constraint resolution in genetic algorithms. Solutions that appear to be very good on the basis of the objective criteria, may be unacceptable for some other reason. For example, a design optimised to minimise cost must also meet stress and manufacturing requirements. These constraints are important in solving applications, whether design, scheduling, system identification or control, or any of the myriad of areas to which genetic algorithms have been applied." @default.
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- W2285751577 date "2011-10-06" @default.
- W2285751577 modified "2023-09-26" @default.
- W2285751577 title "Constraint resolutions in genetic algorithms" @default.
- W2285751577 doi "https://doi.org/10.1049/pbce055e_ch4" @default.
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