Use a genetic algorithm to evolve populations of bit strings.

Mike b256a47cde Convenience: Can now evaluate a lambda for fitness on every chromosome, using threads		2018-04-14 04:10:31 -07:00
Breeder.cpp	Added functions to control crossover rate and type	2018-04-14 01:07:56 -07:00
Breeder.h	Added functions to control crossover rate and type	2018-04-14 01:07:56 -07:00
Chromosome.cpp	Modification mutexes	2018-04-14 02:23:29 -07:00
Chromosome.h	Modification mutexes	2018-04-14 02:23:29 -07:00
Defines.h	Moved defines to constants in-class	2018-04-14 01:08:22 -07:00
Enums.h	Added functions to control crossover rate and type	2018-04-14 01:07:56 -07:00
ForwardDeclarations.h	First commit - Seems to pass "all 1's" evolution test	2018-04-13 23:59:20 -07:00
Includes.h	First commit - Seems to pass "all 1's" evolution test	2018-04-13 23:59:20 -07:00
Makefile	New class: RouletteWheel	2018-04-14 02:24:05 -07:00
Population.cpp	Convenience: Can now evaluate a lambda for fitness on every chromosome, using threads	2018-04-14 04:10:31 -07:00
Population.h	Convenience: Can now evaluate a lambda for fitness on every chromosome, using threads	2018-04-14 04:10:31 -07:00
Random.cpp	First commit - Seems to pass "all 1's" evolution test	2018-04-13 23:59:20 -07:00
Random.h	First commit - Seems to pass "all 1's" evolution test	2018-04-13 23:59:20 -07:00
RouletteWheel.cpp	New class RouletteWheel !	2018-04-14 02:23:43 -07:00
RouletteWheel.h	New class RouletteWheel !	2018-04-14 02:23:43 -07:00