The positive goal of middle adulthood interpreted in terms of procreation and of creativity and fulfilling your full parental and social responsibilities toward the next generation.

A computerized search technique inspired by evolutionary biology and used in computer science to find approximate solutions to optimization and search problems.

An algorithm

A method for solving optimisation problems by mimicking the process of natural selection and biological evolution. The algorithm randomly selects pairs of individuals from the population (whereby the best performing individuals are more likely to be chosen) to be used as parents. These individuals are then crossed over to create a new generation of [..]

Genetic algorithms are a family of computational search and learning methods inspired by biological evolution.  Evolution takes place on a population of individuals, each of which represents a candida [..]

Heuristic optimization algorithms that, borrowing from evolutionary biology, use replication, mutation, recombination, and natural selection processes operating on a parent population of potential sol [..]

Method for library design by evaluating the fit of a parent library to some desired property (e.g. the level of activity in a biological assay or the computationally determined diversity of the compou [..]

A genetic algorithm is a heuristic search method used in artificial intelligence and computing. It is used for finding optimized solutions to search problems based on the theory of natural selection a [..]

An algorithm for optimizing a property based on an evolutionary mechanism that uses replication, deletion, and mutation processes carried out over many generations.

Genetic algorithms (GAs) are a class of algorithms inspired by the mechanisms of genetics, which has been applied to global optimization

A population containing a number of trial solutions each of which is evaluated (to yield a fitness

Population-based stochastic global optimization algorithm inspired by the mechanisms of genetics, evolution, and survival of the fittest.

A search algorithm which locates optimal binary strings by processing an initially random population of strings using artificial mutation, crossover and selection operators, in an analogy with the pro [..]