Simulated Binary Crossover for Continuous Search Space.
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Cites background from "Simulated Binary Crossover for Cont..."
...Unless mutation or crossover operators are capable of creating solutions in the basin of another better attractor, the improvement in the convergence toward the true Pareto-optimal front is not possible....
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Cites methods from "Simulated Binary Crossover for Cont..."
...The variables are treated as real numbers and the simulated binary crossover (SBX) [2] and the real-parameter mutation operator are used....
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...The variables are treate d as real numbers and the simulated binary crossover (SBX) [2] and the real-param eter mutation operator are used....
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4,321 citations
References
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"Simulated Binary Crossover for Cont..." refers background in this paper
..., [6]), proper population sizing is import an t for the successful work ing of GAs ....
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...In bin ary-coded GAs, a larger popu lation is required to achieve a desired solution accuracy for a problem coded in a bigger st ring [6]....
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"Simulated Binary Crossover for Cont..." refers background or methods or result in this paper
...lThe design of a crossover ope rator depends on a numb er of ot her factors such as respect, assortment , and tra nsmissibility of formae (simil arity temp lates) as suggested in [7] ....
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...It is worth mentioning here that in [7] an ergodicity crit erion is also defined as the ab ility to access any sear ch point through genetic operators from any population....
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...It may be mentioned here that t he interval schemata are conceptually similar to the vir tual alphabets introduced in [10] and locality form ae defined in [7] ....
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...A number of crit eria for the successful design of a crossover operator ar e suggested in [7] ....
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...Since such schemata would be a vari ati on of the int erval schemata or locality form ae, they would also sat isfy the design criteria in [7]....
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