Words starting with evolutionarya
Maybe these words will be useful:
- evolutionary computation — Computer-based problem solving systems that use computational models of evolutionary processes as the key elements in design and implementation. A number of evolutionary computational models have been proposed, including evolutionary algorithms, genetic algorithms, the evolution strategy, evolutionary programming, and artificial life.
- evolutionary programming — (EP) A stochastic optimisation strategy originally conceived by Lawrence J. Fogel in 1960. An initially random population of individuals (trial solutions) is created. Mutations are then applied to each individual to create new individuals. Mutations vary in the severity of their effect on the behaviour of the individual. The new individuals are then compared in a "tournament" to select which should survive to form the new population. EP is similar to a genetic algorithm, but models only the behavioural linkage between parents and their offspring, rather than seeking to emulate specific genetic operators from nature such as the encoding of behaviour in a genome and recombination by genetic crossover. EP is also similar to an evolution strategy (ES) although the two approaches developed independently. In EP, selection is by comparison with a randomly chosen set of other individuals whereas ES typically uses deterministic selection in which the worst individuals are purged from the population.
- evolutionary algorithm — (EA) An algorithm which incorporates aspects of natural selection or survival of the fittest. An evolutionary algorithm maintains a population of structures (usually randomly generated initially), that evolves according to rules of selection, recombination, mutation and survival, referred to as genetic operators. A shared "environment" determines the fitness or performance of each individual in the population. The fittest individuals are more likely to be selected for reproduction (retention or duplication), while recombination and mutation modify those individuals, yielding potentially superior ones. EAs are one kind of evolutionary computation and differ from genetic algorithms. A GA generates each individual from some encoded form known as a "chromosome" and it is these which are combined or mutated to breed new individuals. EAs are useful for optimisation when other techniques such as gradient descent or direct, analytical discovery are not possible. Combinatoric and real-valued function optimisation in which the optimisation surface or fitness landscape is "rugged", possessing many locally optimal solutions, are well suited for evolutionary algorithms.
- evolutionary — Of or relating to evolution.
- evolutionarily — In an evolutionary manner.
- evolutional — Of or pertaining to evolution, coming about as a result of the principles of evolution.
- evolutionism — (countable) Any of several theories that explain the evolution of systems or organisms.
- evolutionist — A person who believes in the theories of evolution and natural selection.
- evolutions — Plural form of evolution.
- evolution strategy — (ES) A kind of evolutionary algorithm where individuals (potential solutions) are encoded by a set of real-valued "object variables" (the individual's "genome"). For each object variable an individual also has a "strategy variable" which determines the degree of mutation to be applied to the corresponding object variable. The strategy variables also mutate, allowing the rate of mutation of the object variables to vary. An ES is characterised by the population size, the number of offspring produced in each generation and whether the new population is selected from parents and offspring or only from the offspring. ES were invented in 1963 by Ingo Rechenberg, Hans-Paul Schwefel at the Technical University of Berlin (TUB) while searching for the optimal shapes of bodies in a flow.