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Genetic operation used to add population diversity
Mutation is a genetic operator used to maintain genetic diversity of the chromosomes of a population of an evolutionary algorithm (EA), including genetic
Mutation (evolutionary algorithm)
Mutation_(evolutionary_algorithm)
Competitive algorithm for searching a problem space
genetic algorithm (GA) is a metaheuristic inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms (EA) in
Genetic_algorithm
Evolutionary algorithm with a defined structure
Evolutionary programming is an evolutionary algorithm, where a share of new population is created by mutation of previous population without crossover
Evolutionary_programming
Subset of evolutionary computation
Evolutionary algorithms (EA) reproduce essential elements of biological evolution in a computer algorithm in order to solve "difficult" problems, at least
Evolutionary_algorithm
Trial and error problem solvers with a metaheuristic or stochastic optimization character
Evolutionary computation (EC) from computer science is a family of algorithms for global optimization inspired by biological evolution, and a subfield
Evolutionary_computation
Change in the heritable traits of populations
adaptive and non-adaptive forces in driving evolutionary change is an area of current research. Mutation bias is usually conceived as a difference in
Evolution
Set of parameters for a genetic or evolutionary algorithm
genotype in evolutionary algorithms (EA) is a set of parameters which define a proposed solution of the problem that the evolutionary algorithm is trying
Chromosome (evolutionary algorithm)
Chromosome_(evolutionary_algorithm)
goal. This is implemented using an evolutionary algorithm that includes all the common genetic operators (e.g. mutation, cross-over, selection). The main
Fly_algorithm
Algorithm for searching a problem space
operations research, a memetic algorithm (MA) is an extension of an evolutionary algorithm (EA) that aims to accelerate the evolutionary search for the optimum
Memetic_algorithm
used in evolutionary algorithms (EA) to guide the algorithm towards a solution to a given problem. There are three main types of operators (mutation, crossover
Genetic_operator
Alteration in the nucleotide sequence of a genome
junctional diversity. Mutation is the ultimate source of all genetic variation, providing the raw material on which evolutionary forces such as natural
Mutation
Data structure and types for evolutionary computation
have also been successfully used and tested in evolutionary algorithms (EA) in general and genetic algorithms in particular, although the implementation of
Genetic_representation
Selection is a genetic operator in an evolutionary algorithm (EA). An EA is a metaheuristic inspired by biological evolution and aims to solve challenging
Selection (evolutionary algorithm)
Selection_(evolutionary_algorithm)
Optimization algorithm
computer science and operations research, the ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems
Ant colony optimization algorithms
Ant_colony_optimization_algorithms
Algorithm for determining similar regions between two molecular sequences
distantly related biological sequences, because mutations have added too much 'noise' over evolutionary time to allow for a meaningful comparison of those
Smith–Waterman_algorithm
Evolving computer programs with techniques analogous to natural genetic processes
Genetic programming (GP) is an evolutionary algorithm, an artificial intelligence technique mimicking natural evolution, which operates on a population
Genetic_programming
Algorithm in computer science
science is a subclass of evolutionary algorithms, which serves as an optimization technique. It uses the major genetic operators mutation, recombination and
Evolution_strategy
convergence to a single solution. The field of Evolutionary algorithms encompasses genetic algorithms (GAs), evolution strategy (ES), differential evolution
Evolutionary multimodal optimization
Evolutionary_multimodal_optimization
Method of mathematical optimization
Differential evolution (DE) is an evolutionary algorithm to optimize a problem by iteratively trying to improve a candidate solution with regard to a given
Differential_evolution
Operator used to vary the programming of chromosomes from one generation to the next
Crossover in evolutionary algorithms and evolutionary computation, also called recombination, is a genetic operator used to combine the genetic information
Crossover (evolutionary algorithm)
Crossover_(evolutionary_algorithm)
Form of artificial intelligence
neuro-evolution, is a form of artificial intelligence that uses evolutionary algorithms to generate artificial neural networks (ANN), parameters, and rules
Neuroevolution
Study of the evolution of life
Evolutionary biology is a subfield of biology that analyzes the four mechanisms of evolution: natural selection, mutation, genetic drift, and gene flow
Evolutionary_biology
In evolutionary computation, a human-based genetic algorithm (HBGA) is a genetic algorithm that allows humans to contribute solution suggestions to the
Human-based_genetic_algorithm
Technique in statistical genetics
efficiently computing the likelihood of an evolutionary tree from nucleic acid sequence data. The algorithm is often used as a subroutine in a search for
Felsenstein's tree-pruning algorithm
Felsenstein's_tree-pruning_algorithm
Audio counterpart to evolutionary art
Evolutionary music is the audio counterpart to evolutionary art, whereby algorithmic music is created using an evolutionary algorithm. The process begins
Evolutionary_music
Overview of and topical guide to change in the heritable characteristics of organisms
natural selection, mutation, gene flow, and genetic drift. Also known as descent with modification. Over time these evolutionary processes lead to formation
Outline_of_evolution
unwanted effect in evolutionary algorithms (EA), a metaheuristic that mimics the basic principles of biological evolution as a computer algorithm for solving
Premature_convergence
Overview of and topical guide to machine learning
learning Evolutionary multimodal optimization Expectation–maximization algorithm FastICA Forward–backward algorithm GeneRec Genetic Algorithm for Rule
Outline_of_machine_learning
explains both the origin of sex and its early evolutionary advantage in purging deleterious mutations. Some questions biologists have attempted to answer
Evolution of sexual reproduction
Evolution_of_sexual_reproduction
Genetic algorithm for making artificial neural networks
control tasks, the NEAT algorithm often arrives at effective networks more quickly than other contemporary neuro-evolutionary techniques and reinforcement
Neuroevolution of augmenting topologies
Neuroevolution_of_augmenting_topologies
Cultural algorithms (CA) are a branch of evolutionary computation where there is a knowledge component that is called the belief space in addition to the
Cultural_algorithm
Objective function of evolutionary algorithm
important component of evolutionary algorithms (EA), such as genetic programming, evolution strategies or genetic algorithms. An EA is a metaheuristic
Fitness_function
Mechanism of evolution by differential reproduction
simulated reproduction and mutation of a population of solutions defined by an initial probability distribution. Such algorithms are particularly useful
Natural_selection
Technique of using algorithms to create music
algorithms. The composition is being built by the means of evolutionary process. Through mutation and natural selection, different solutions evolve towards
Algorithmic_composition
Kind of evolutionary algorithm
A cellular evolutionary algorithm (cEA) is a kind of evolutionary algorithm (EA) in which individuals cannot mate arbitrarily, but every one interacts
Cellular evolutionary algorithm
Cellular_evolutionary_algorithm
Optimization technique
of memetic algorithm is the use of a local search algorithm instead of or in addition to a basic mutation operator in evolutionary algorithms. A parallel
Metaheuristic
Evolutionary algorithm
Gene expression programming (GEP) in computer programming is an evolutionary algorithm that creates computer programs or models. These computer programs
Gene_expression_programming
Embodied approach to artificial intelligence
designs are discarded and replaced with mutations and/or combinations of the better designs. This evolutionary algorithm continues until a prespecified amount
Evolutionary_robotics
Application of game theory to evolving populations in biology
Coevolutionary modelling therefore often includes genetic algorithms to reflect mutational effects, while computers simulate the dynamics of the overall
Evolutionary_game_theory
Application of Darwinian theory to other fields
Genetic algorithms, a subset of evolutionary computation, models variation by "genetic" operators (mutation and recombination) Evolutionary robotics
Universal_Darwinism
A. dos Santos-Paulino, J.-C. Nebel and F.Florez-Revuelta (2014) Evolutionary algorithm for dense pixel matching in presence of distortions, EvoStar Conference
List of genetic algorithm applications
List_of_genetic_algorithm_applications
Component of an evolutionary algorithm
optional components of an evolutionary algorithm (EA). An EA reproduces essential elements of biological evolution as a computer algorithm in order to solve demanding
Genotypic and phenotypic repair
Genotypic_and_phenotypic_repair
Process of finding the optimal set of variables for a machine learning algorithm
via crossover and mutation Repeat steps 2-4 until satisfactory algorithm performance is reached or is no longer improving. Evolutionary optimization has
Hyperparameter_optimization
Evolutionary algorithm designed for maximizing manufacturing yield
adaptation (GA), also called normal or natural adaptation (NA) is an evolutionary algorithm designed for the maximization of manufacturing yield due to statistical
Gaussian_adaptation
biology—the modern synthesis. Following the establishment of evolutionary biology, studies of mutation and genetic diversity in natural populations, combined
History of evolutionary thought
History_of_evolutionary_thought
The B-Cell Algorithm Artificial immune system Biologically inspired computing Computational immunology Computational intelligence Evolutionary computation
Clonal_selection_algorithm
Narrow band of mutation step size that is conducive to significant evolutionary progress
Cybernetics Evolutionary Algorithm Optimization (mathematics) H.-G. Beyer. Toward a Theory of Evolution Strategies: Self-Adaptation. Evolutionary Computation
Evolution_window
Computational search for optimal designs
including heuristic search techniques such as evolutionary computation, and swarm intelligence algorithms. To meet the ever-growing demand of quality and
Computer-automated_design
Topics referred to by the same term
common ancestor language Genetic algorithm, in computer science, a kind of search technique modeled on evolutionary biology Genetic memory (disambiguation)
Genetic
Population models of evolutionary algorithms
The population model of an evolutionary algorithm (EA) describes the structural properties of its population to which its members are subject. A population
Population model (evolutionary algorithm)
Population_model_(evolutionary_algorithm)
Types of approximate algorithm
genetic programming, evolution strategies and evolutionary programming. These algorithms use crossover, mutation, and selection. Crossover, or recombination
Soft_computing
Alignment of more than two molecular sequences
infer evolutionary relationships via phylogenetic analysis and can highlight homologous features between sequences. Alignments highlight mutation events
Multiple_sequence_alignment
Evolutionary process
genome Adaptive memory Adaptive mutation Adaptive system Anti-predator adaptation Body reactivity Ecological trap Evolutionary pressure Evolvability Intragenomic
Adaptation
Grammar model in linguistics
parameterization requires evolutionary history information derived from an alignment tree in addition to probabilities of columns and mutations. The grammar probabilities
Probabilistic context-free grammar
Probabilistic_context-free_grammar
Code-breaking game
of eligible solutions or the sample of them found by the evolutionary algorithm. The algorithm works as follows, with P = length of the solution used in
Mastermind_(board_game)
Evolutionary algorithm
problems. They belong to the class of evolutionary algorithms and evolutionary computation. An evolutionary algorithm is broadly based on the principle of
CMA-ES
Branching diagram of evolutionary relationships between organisms
optimal evolutionary ancestry between a set of species or taxa. Computational phylogenetics (also phylogeny inference) focuses on the algorithms involved
Phylogenetic_tree
Paradigm of rule-based machine learning methods
that combine a discovery component (e.g. typically a genetic algorithm in evolutionary computation) with a learning component (performing either supervised
Learning_classifier_system
Antenna designed by an evolutionary computer algorithm
substantially by an automatic computer design program that uses an evolutionary algorithm that mimics Darwinian evolution. This procedure has been used since
Evolved_antenna
Process in bioinformatics that identifies equivalent sites within molecular sequences
Accepted Mutation matrices, originally defined by Margaret Dayhoff and sometimes referred to as "Dayhoff matrices") explicitly encode evolutionary approximations
Sequence_alignment
classes analogous to ones in evolutionary computation. There are three basic types of innovation: initialization, mutation, and recombination. Here is
Human-based evolutionary computation
Human-based_evolutionary_computation
learning (PBIL) is an optimization algorithm, and an estimation of distribution algorithm. This is a type of genetic algorithm where the genotype of an entire
Population-based incremental learning
Population-based_incremental_learning
Genetic programming technique
operators in evolutionary algorithms. Although GE was originally described in terms of using an Evolutionary Algorithm, specifically, a Genetic Algorithm, other
Grammatical_evolution
Engineering model
comparison-based surrogate models (e.g., ranking support vector machines) for evolutionary algorithms, such as CMA-ES, allow preservation of some invariance properties
Surrogate_model
Model used to visualise relationship between genotypes and reproductive success
evolutionary biology, the concept of a fitness landscape has also gained importance in evolutionary optimization methods such as genetic algorithms or
Fitness_landscape
Cultural idea that spreads through imitation
machine Dual inheritance theory Evolutionary biology Framing (social sciences) Infodemic The Leiden school Memetic algorithm Memetic engineering Muslim meme
Meme
Theorem on genetic algorithms
fundamental theorem of genetic algorithms, is an inequality that results from coarse-graining an equation for evolutionary dynamics. The Schema Theorem
Holland's_schema_theorem
Method that evolves both the topology and weights of artificial neural networks
et al., the method uses a type of parametric mutation that comes from evolution strategies and evolutionary programming (now using the most advanced form
Evolutionary acquisition of neural topologies
Evolutionary_acquisition_of_neural_topologies
Solving problems using biological models
context of evolutionary algorithms or in the context of swarm intelligence algorithms, are subdivided into Population Based Bio-Inspired Algorithms (PBBIA)
Bio-inspired_computing
Genetic fuzzy systems are fuzzy systems constructed by using genetic algorithms or genetic programming, which mimic the process of natural evolution,
Genetic_fuzzy_systems
results (stored in registers) can be reused and a simple intron removal algorithm exists that can be executed to remove all non-effective code prior to
Linear_genetic_programming
Application of computational algorithms, methods and programs to phylogenetic analyses
algorithms, heuristics, and approaches involved in phylogenetic analyses. The goal is to find a phylogenetic tree representing optimal evolutionary ancestry
Computational_phylogenetics
Solution concept in game theory
An evolutionarily stable strategy (ESS) is a strategy (or set of strategies) that is impermeable when adopted by a population in adaptation to a specific
Evolutionarily stable strategy
Evolutionarily_stable_strategy
Type of similarity matrix in computational biology
column through a series of one or more point accepted mutations during a specified evolutionary interval, rather than these two amino acids being aligned
Point_accepted_mutation
Volunteer distributed computing project
allowed to "mate." The genetic algorithm crosses over the mathematical code of the two parent sheep and introduces random mutations to create offspring animations
Electric_Sheep
Subset of artificial intelligence
genetic algorithm (GA) is a search algorithm and heuristic technique that mimics the process of natural selection, using methods such as mutation and crossover
Machine_learning
Reproductive success given genetic mutation
effective fitness which takes into account crossover and mutation. Effective fitness is used in Evolutionary Computation to understand population dynamics. While
Effective_fitness
Software for statistical analysis of molecular evolution
Molecular Evolutionary Genetics Analysis (MEGA) is computer software for conducting statistical analysis of molecular evolution and for constructing phylogenetic
Molecular Evolutionary Genetics Analysis
Molecular_Evolutionary_Genetics_Analysis
Branch of psychology
Evolutionary psychology is a theoretical approach in psychology that examines cognition and behavior from a modern evolutionary perspective. It seeks
Evolutionary_psychology
Mating pool is a concept used in evolutionary algorithms and means a population of parents for the next population. The mating pool is formed by candidate
Mating_pool
Practical application of biological evolution
applications in computer science. Here, simulations of evolution using evolutionary algorithms and artificial life started with the work of Nils Aall Barricelli
Applications_of_evolution
Self-replicating computer program that mutates and evolves
accepted as a valid contribution to evolutionary biology by a growing number of evolutionary biologists. Evolutionary biologist Richard Lenski of Michigan
Digital_organism
Replacement, insertion, or deletion of a single DNA or RNA nucleotide
A point mutation is a genetic mutation where a single nucleotide base is changed, inserted or deleted from a DNA or RNA sequence of an organism's genome
Point_mutation
Field of study
list of evolutionary algorithms closely related to and used in ALife: Ant colony optimization Bacterial colony optimization Genetic algorithm Genetic
Artificial_life
Process in machine learning and statistics
memetic algorithm for gene selection and molecular classification of an cancer. In Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Feature_selection
Mutant allele Mutant screening Mutation Mutation breeding Mutation event Mutation frequency Mutation rate Mutational load Muton Myeloma Myotonic dystrophy
Index_of_genetics_articles
Apparent lack of pattern or predictability in events
outcome in each case. The modern evolutionary synthesis ascribes the observed diversity of life to random genetic mutations followed by natural selection
Randomness
AI model that developer a super-human sorting algorithm
needs to be computed after every mutation. As such, AlphaDev-S optimizes for a latency proxy, specifically algorithm length, and, then, at the end of
AlphaDev
Group of comics characters
Captain America, Fantastic Four, Hulk), mutants have innate genetic mutations from birth. Officially, Namor the Sub-Mariner is considered the first
Mutant_(Marvel_Comics)
Computational analysis of large, complex sets of biological data
data. It aids in sequencing and annotating genomes and their observed mutations. Bioinformatics includes text mining of biological literature and the
Bioinformatics
Venezuelan British computer scientist
Professor at the University of Stirling. Her research considers evolutionary algorithms and heuristic search methods. Ochoa was born in Venezuela. Her
Gabriela_Ochoa
Probabilistic optimization technique and metaheuristic
to select the candidates for mutation or combination, and for discarding excess solutions from the pool. Memetic algorithms search for solutions by employing
Simulated_annealing
Basic unit of taxonomic classification, below genus
throughout history. Viruses are a special case, driven by a balance of mutation and selection, and can be treated as quasispecies. Biologists and taxonomists
Species
Computer science metric for string similarity
and similar algorithms measure the difference between biological sequences, such as those of DNA and protein. The edits in the algorithm correspond to
Levenshtein_distance
Scientific concept
Evolutionary mismatch (also "mismatch theory" or "evolutionary trap") is the evolutionary biology concept that a previously advantageous trait may become
Evolutionary_mismatch
evolutionary change. It played a major role in shaping distance based phylogenetic algorithms, influencing the development of widely used algorithms such
Minimum_evolution
Concept in genetic algorithm theory
Theory for Genetic Programming with One-Point Crossover and Point Mutation". Evolutionary Computation. 6 (3): 231–252. doi:10.1162/evco.1998.6.3.231. ISSN 1063-6560
Defining_length
biological systems. Artificial development is often considered a sub-field of evolutionary computation, although the principles of artificial development have also
Artificial_development
Duplication of a gene sequence within a genome
Bartolo; Bascompte, Jordi (2025). "The emergence of eukaryotes as an evolutionary algorithmic phase transition". PNAS. 122 (13) e2422968122. Bibcode:2025PNAS
Gene_duplication
Methods that imitate, replicate or use natural processes
that compose these three branches are artificial neural networks, evolutionary algorithms, swarm intelligence, artificial immune systems, fractal geometry
Natural_computing
MUTATION EVOLUTIONARY-ALGORITHM
MUTATION EVOLUTIONARY-ALGORITHM
Boy/Male
Arabic, Muslim
One who Entrusts his Affairs to the Management of Another
Female
English
English unisex form of Hebrew Terach, TERAH means "delay" and "station." In the bible, this is the name of a place in the wilderness where the Israelites stopped on their Exodus. It is also the name of the father of Abraham.
Surname or Lastname
English (chiefly Northamptonshire)
English (chiefly Northamptonshire) : probably from the obsolete slang term facer, denoting a braggart or bully. The earliest citation for this term in OED is c. 1515.Americanized spelling of German Feeser.
Surname or Lastname
English, Scottish, and northern Irish
English, Scottish, and northern Irish : habitational name from any of several places in England and Scotland, variously spelled, that are named with Old English cald ‘cold’ + well(a) ‘spring’, ‘stream’. Caldwell in North Yorkshire is one major source of the surname; Caldwell in Renfrewshire in Scotland another.Several Caldwells emigrated from Scotland to America by way of Ireland in the 18th century. James Caldwell (1734–81), son of settler John Caldwell, was born in Charlotte Co., VA, and was a militant clergyman during the revolutionary war. Andrew Caldwell, a Scottish farmer, emigrated to America in 1718 and started a family in Lancaster Co., PA. His son David was a Presbyterian clergyman and well-known revolutionary war patriot.
Boy/Male
Arabic
Duration; Endurance
Surname or Lastname
English
English : patronymic or metronymic from Eade.The inventor Thomas Alva Edison, born in 1847 in Milan, OH, came from a Canadian family first established in North America by John Edison, a loyalist during the American Revolution, who served under the British General Richard Howe and went into exile in Nova Scotia after the Revolutionary War.
Boy/Male
Indian, Sanskrit
Long Life; Age; Duration of Life; Lineage
Biblical
station;
Male
Hebrew
(תֶּרַח) Hebrew name TERACH means "delay" and "station." In the bible, this is the name of a place in the wilderness where the Israelites stopped on their Exodus. It is also the name of the father of Abraham.
Surname or Lastname
English
English : variant spelling of Hain 1–3.Isaac Hayne (1745–81) was an American revolutionary militia officer, executed by the British for breaking parole. He owned an ironworks and was manufacturing ammunition for the American forces when he was caught. His grandfather had emigrated from England to SC in about 1700.
Male
English
Anglicized unisex form of Hebrew Terach, TERAH means "delay" and "station." In the bible, this is the name of a place in the wilderness where the Israelites stopped on their Exodus. It is also the name of the father of Abraham.
Boy/Male
Hindu, Indian, Sanskrit
A Sort of Sound Imitation; Like a River Flow
Surname or Lastname
English
English : unexplained.John Mifflin (born 1640) came to Delaware from Warminster, Wiltshire, England, in the 1670s. He is probably the same person as the John Mifflin, a Quaker, who built his home, ‘Fountain Green’, in Fairmont Park, Philadelphia, in 1679. His fourth-generation descendant Thomas Mifflin (1744–1800) was a member of the Continental Congress, a revolutionary soldier, and governor of PA.
Boy/Male
Bengali, Gujarati, Hindu, Indian, Kannada, Malayalam, Marathi
Couregeous; Revolutionary; Drifting about; Revolution
Male
English
Anglicized form of Hebrew Terach, TAHATH means "delay" and "station." In the bible, this is the name of a place in the wilderness where the Israelites stopped on their Exodus.Â
Surname or Lastname
English
English : variant of Mutton.
Boy/Male
Hindu, Indian, Kannada, Marathi, Sanskrit, Telugu
Never Ending; Persistence; Continuity; Perpetuity; Eternity; Uninterrupted Duration; Diligence; Conscientiousness; Truthful; Straightforward; Honest
Surname or Lastname
English
English : variant spelling of Read 1.An early American bearer of the common British name was George Reed who emigrated from England in 1635 with his son, William, and settled in Woburn, MA, several years later. His grandson James (1722–1807), a revolutionary war soldier who distinguished himself at the battle of Bunker Hill, moved to Fitzwilliam, NH, and was one of the original NH proprietors.
Surname or Lastname
English (chiefly Devon)
English (chiefly Devon) : nickname for someone thought to resemble a sheep (e.g. a gentle but unimaginative person), or metonymic occupational name for a shepherd, from Anglo-Norman French muto(u)n ‘sheep’ (Old French mouton, probably of Gaulish origin; compare Breton maout ‘sheep’).
Female
English
(תֶּרַח) English feminine form of Hebrew Terach, TARAH means "delay" and "station." In the bible, this is the name of a place in the wilderness where the Israelites stopped on their Exodus. Variant spelling of English Tara, meaning "hill."Â
MUTATION EVOLUTIONARY-ALGORITHM
MUTATION EVOLUTIONARY-ALGORITHM
Boy/Male
Muslim
Young hawk
Boy/Male
Scottish
White.
Boy/Male
Indian
Grasshopper, Name of companion
Boy/Male
Christian & English(British/American/Australian)
Residence Name
Boy/Male
Gujarati, Hindu, Indian, Kannada, Malayalam, Marathi, Telugu
Good Deed
Girl/Female
Arabic, Muslim
Hope
Surname or Lastname
English
English : probably a habitational name from a lost or unidentified place called Griscombe.
Boy/Male
Tamil
Lord Vishnu
Biblical
the new city
Girl/Female
Gujarati, Hindu, Indian, Kannada, Malayalam, Marathi, Telugu
Happy
MUTATION EVOLUTIONARY-ALGORITHM
MUTATION EVOLUTIONARY-ALGORITHM
MUTATION EVOLUTIONARY-ALGORITHM
MUTATION EVOLUTIONARY-ALGORITHM
MUTATION EVOLUTIONARY-ALGORITHM
a.
Pertaining to elocution.
v. t.
To place; to set; to appoint or assign to the occupation of a post, place, or office; as, to station troops on the right of an army; to station a sentinel on a rampart; to station ships on the coasts of Africa.
a.
Of or pertaining to a revolution in government; tending to, or promoting, revolution; as, revolutionary war; revolutionary measures; revolutionary agitators.
n.
Irregular change; revolution; mutation.
n.
A revolutionist.
a.
Pertaining to, or involving, sans-culottism; radical; revolutionary; Jacobinical.
n.
The act of citing a passage from a book, or from another person, in his own words; also, the passage or words quoted; quotation.
n.
The spot or place where anything stands, especially where a person or thing habitually stands, or is appointed to remain for a time; as, the station of a sentinel.
n.
The act of turning, as a wheel or a solid body on its axis, as distinguished from the progressive motion of a revolving round another body or a distant point; thus, the daily turning of the earth on its axis is a rotation; its annual motion round the sun is a revolution.
a.
Pertaining to, or resulting from, rotation; of the nature of, or characterized by, rotation; as, rotational velocity.
n.
Change; alteration; mutation.
a.
Relating to evolution.
n.
A table showing the notation, length, or duration of the several notes.
n.
A portion of a book or document, separately transcribed; a citation; a quotation.
n.
Citation; quotation
a.
Relating to evolution; as, evolutionary discussions.
n.
Change; alteration, either in form or qualities.
n.
One of the places at which ecclesiastical processions pause for the performance of an act of devotion; formerly, the tomb of a martyr, or some similarly consecrated spot; now, especially, one of those representations of the successive stages of our Lord's passion which are often placed round the naves of large churches and by the side of the way leading to sacred edifices or shrines, and which are visited in rotation, stated services being performed at each; -- called also Station of the cross.
n.
Enumeration; mention; as, a citation of facts.