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- W1594647002 abstract "This paper presents a Genetic Algorithm approach to two-dimensional shape optimization. Shapes are represented as arrays of boolean pixels (material/void), or bit-arrays. The inadequacy of the (one-dimensional) bitstring representation is emphasized, both a priori and experimentally. This leads to the design of crossover operators adapted to the two-dimensional representation. Similarly, some non standard mutation operators are introduced and studied. A strategy involving evolutionary choice among these different operators is finally proposed. All experiments are performed on a simple test-problem of Optimum Design, as the computational cost of real-world problems forbids extensive experimental tests." @default.
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- W1594647002 date "1996-01-01" @default.
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- W1594647002 title "Genetic operators for two-dimentional shape optimization" @default.
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- W1594647002 doi "https://doi.org/10.1007/3-540-61108-8_50" @default.
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