Titlebook: Genetic Algorithms + Data Structures = Evolution Programs; Zbigniew Michalewicz Book 1996Latest edition Springer-Verlag Berlin Heidelberg

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A Hierarchy of Evolution Programsn the principle of evolution. Evolution programs borrow heavily from genetic algorithms However, they incorporate problem-specific knowledge by using “natural” data structures and problem-sensitive “genetic” operators. The basic difference between GAs and EPs is that the former are classified as wea

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ext for a senior undergraduate/graduate one semester courseGenetic algorithms are founded upon the principle of evolution, i.e., survival of the fittest. Hence evolution programming techniques, based on genetic algorithms, are applicable to many hard optimization problems, such as optimization of fu

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https://doi.org/10.1007/978-3-319-01035-9r programs) and specialized “genetic” operators. Also, both methods must control the complexity of the structure (some measure of the complexity of a finite state machine or a tree might be incorporated in the evaluation function). We discuss them in turn.

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The Transportation Problemnote the number of sources and destinations, respectively; see the description of the transportation problem below). However, it would be very interesting to see what can we gain by introducing extra problem-specific knowledge into an evolution program.