| Description: |
This collection of gene representation-independent
mechanisms for evolutionary and genetic algorithms contains
four groups of functions: First, functions for selecting a gene
in a population of genes according to its fitness value and for
adaptive scaling of the fitness values as well as for
performance optimization and measurement offer several variants
for implementing the survival of the fittest. Second,
evaluation functions for deterministic functions avoid
recomputation. Evaluation of stochastic functions incrementally
improve the estimation of the mean and variance of fitness
values at almost no additional cost. Evaluation functions for
gene repair handle error-correcting decoders. Third, timing and
counting functions for profiling the algorithm pipeline are
provided to assess bottlenecks in the algorithms. Fourth, a
small collection of problem environments for function
optimization, combinatorial optimization, and grammar-based
genetic programming and grammatical evolution is provided for
tutorial examples. The methods in the package are described by
the following references: Baker, James E. (1987,
ISBN:978-08058-0158-8), De Jong, Kenneth A. (1975)
<https://deepblue.lib.umich.edu/handle/2027.42/4507>,
Geyer-Schulz, Andreas (1997, ISBN:978-3-7908-0830-X),
Grefenstette, John J. (1987, ISBN:978-08058-0158-8),
Grefenstette, John J. and Baker, James E. (1989,
ISBN:1-55860-066-3), Holland, John (1975, ISBN:0-472-08460-7),
Lau, H. T. (1986) <doi:10.1007/978-3-642-61649-5>, Price,
Kenneth V., Storn, Rainer M. and Lampinen, Jouni A. (2005)
<doi:10.1007/3-540-31306-0>, Reynolds, J. C. (1993)
<doi:10.1007/BF01019459>, Schaffer, J. David (1989,
ISBN:1-55860-066-3), Wenstop, Fred (1980)
<doi:10.1016/0165-0114(80)90031-7>, Whitley, Darrell (1989,
ISBN:1-55860-066-3), Wickham, Hadley (2019,
ISBN:978-815384571). |
