Category
page 1Evolutionary algorithms
evolutionary algorithm
subset of evolutionary computation
fitness function
objective function of an evolutionary algorithm
mutation
type of genetic operator used to maintain genetic diversity from one generation of a population of genetic algorithm chromosomes to the next
evolutionary programming
evolutionary algorithm paradigm where the structure of the program to be optimized is fixed, while its numerical parameters are allowed to evolve
crossover (genetic algorithm)
operator used to vary the programming of chromosomes from one generation to the next
AlphaEvolve
AlphaEvolve is an evolutionary coding agent for designing advanced algorithms based on large language models such as Gemini. It was developed by Google DeepMind and unveiled in May 2025.
differential evolution
method of mathematical optimization
genetic operator
type of operator used in genetic algorithms to guide the algorithm towards a solution to a given problem
memetic algorithm
algorithm to accelerate the evolutionary search for the optimum.
chromosome
set of parameters for a genetic algorithm
learning classifier system
type of system