Titlebook: Genetic and Evolutionary Computation — GECCO 2004; Genetic and Evolutio Kalyanmoy Deb Conference proceedings 2004 Springer-Verlag Berlin He

BRINK

https://doi.org/10.1007/978-1-4471-2377-4s been studied extensively in the evolutionary computation literature. The algorithm presented uses efficient linkage discovery in conjunction with local search. Using our algorithm, the global optimum of an order-. additively separable function defined on strings of length ℓ can be found using .(ℓ

BOOM

History and Neurological Examination,s of a standard genetic algorithm augmented by a communal building block memory system and associated memory chromosomes and operators. A new .x. MaxSum fitness function used for this work is also described. Results show that a ChGA equipped with memory capacity equal to or greater than the minimal

ETCH

https://doi.org/10.1007/978-3-319-75259-4ctive chromosome representations as well as carefully designed parameters for crossover and mutation to achieve efficient search. This paper proposes a new chromosome representation and a design of related parameters to solve the FJSP efficiently. The results of applying the new chromosome represent

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Winnowing Wheat from Chaff: The Chunking GAum fitness function used for this work is also described. Results show that a ChGA equipped with memory capacity equal to or greater than the minimal size of an optimal solution naturally eliminates unexpressed genes.

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