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113 relations: Active learning (machine learning), Alan Turing, Alex Fraser (scientist), Algorithm, Ant colony optimization algorithms, Associative array, Bin packing problem, Bit array, Cellular automaton, Chromosomal inversion, Chromosome, Cluster analysis, CMA-ES, Computational fluid dynamics, Computer science, Computer simulation, Cross-entropy method, Crossover (genetic algorithm), Cultural algorithm, Data structure, David B. Fogel, Decision problem, Edge recombination operator, Engineering, Entropy (information theory), Ergodicity, Estimation of distribution algorithm, Evolution strategy, Evolutionary algorithm, Evolutionary computation, Evolutionary ecology, Evolutionary programming, Evolved antenna, Evolver (software), Extremal optimization, Feasible region, Fitness (biology), Fitness approximation, Fitness function, Fitness landscape, Floating-point arithmetic, Gaussian adaptation, Gene expression programming, Genetic drift, Genetic operator, Genetic programming, Genetic representation, Genotype, Global optimization, Gray code, ..., Hans-Joachim Bremermann, Hans-Paul Schwefel, Hill climbing, Holland's schema theorem, Ingo Rechenberg, Institute for Advanced Study, Integer, Integer programming, Interactive evolutionary computation, International Conference on Machine Learning, Iteration, Jean-Marc Jézéquel, John Henry Holland, John Koza, John Markoff, Knapsack problem, Lawrence J. Fogel, Learning classifier system, Linked list, List (abstract data type), List of genetic algorithm applications, Local optimum, Local search (optimization), Loss function, Markov chain, Mathematical optimization, Maxima and minima, Meme, Memetic algorithm, Metaheuristic, Mutation (genetic algorithm), Natural selection, Neural network, Nils Aall Barricelli, No free lunch in search and optimization, Object (computer science), Online optimization, Operations research, Particle filter, Particle swarm optimization, Phenotype, Pittsburgh, Population, Princeton, New Jersey, Reinforcement learning, Rule-based machine learning, Schema (genetic algorithms), Search algorithm, Selection (genetic algorithm), Selective breeding, Simulated annealing, Springer Science+Business Media, Steven Skiena, Stochastic, Stochastic optimization, Swarm intelligence, Tabu search, The New York Times, Timeline, Travelling salesman problem, Tree (data structure), Universal Darwinism, University of Michigan. Expand index (63 more) »
Active learning (machine learning)
Active learning is a special case of semi-supervised machine learning in which a learning algorithm is able to interactively query the user (or some other information source) to obtain the desired outputs at new data points.
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Alan Turing
Alan Mathison Turing (23 June 1912 – 7 June 1954) was an English computer scientist, mathematician, logician, cryptanalyst, philosopher, and theoretical biologist.
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Alex Fraser (scientist)
Alex Fraser (1923–2002) was a major innovator in the development of the computer modeling of population genetics and his work has stimulated many advances in genetic research over the past decades.
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Algorithm
In mathematics and computer science, an algorithm is an unambiguous specification of how to solve a class of problems.
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Ant colony optimization algorithms
In computer science and operations research, the ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems which can be reduced to finding good paths through graphs.
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Associative array
In computer science, an associative array, map, symbol table, or dictionary is an abstract data type composed of a collection of (key, value) pairs, such that each possible key appears at most once in the collection.
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Bin packing problem
In the bin packing problem, objects of different volumes must be packed into a finite number of bins or containers each of volume V in a way that minimizes the number of bins used.
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Bit array
A bit array (also known as bit map, bit set, bit string, or bit vector) is an array data structure that compactly stores bits.
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Cellular automaton
A cellular automaton (pl. cellular automata, abbrev. CA) is a discrete model studied in computer science, mathematics, physics, complexity science, theoretical biology and microstructure modeling.
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Chromosomal inversion
An inversion is a chromosome rearrangement in which a segment of a chromosome is reversed end to end.
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Chromosome
A chromosome (from Ancient Greek: χρωμόσωμα, chromosoma, chroma means colour, soma means body) is a DNA molecule with part or all of the genetic material (genome) of an organism.
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Cluster analysis
Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense) to each other than to those in other groups (clusters).
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CMA-ES
CMA-ES stands for Covariance Matrix Adaptation Evolution Strategy.
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Computational fluid dynamics
Computational fluid dynamics (CFD) is a branch of fluid mechanics that uses numerical analysis and data structures to solve and analyze problems that involve fluid flows.
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Computer science
Computer science deals with the theoretical foundations of information and computation, together with practical techniques for the implementation and application of these foundations.
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Computer simulation
Computer simulation is the reproduction of the behavior of a system using a computer to simulate the outcomes of a mathematical model associated with said system.
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Cross-entropy method
The cross-entropy (CE) method developed by Reuven Rubinstein is a general Monte Carlo approach to combinatorial and continuous multi-extremal optimization and importance sampling.
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Crossover (genetic algorithm)
In genetic algorithms and evolutionary computation, crossover, also called recombination, is a genetic operator used to combine the genetic information of two parents to generate new offspring.
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Cultural algorithm
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 population component.
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Data structure
In computer science, a data structure is a data organization and storage format that enables efficient access and modification.
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David B. Fogel
Dr.
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Decision problem
In computability theory and computational complexity theory, a decision problem is a problem that can be posed as a yes-no question of the input values.
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Edge recombination operator
The edge recombination operator (ERO) is an operator that creates a path that is similar to a set of existing paths (parents) by looking at the edges rather than the vertices.
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Engineering
Engineering is the creative application of science, mathematical methods, and empirical evidence to the innovation, design, construction, operation and maintenance of structures, machines, materials, devices, systems, processes, and organizations.
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Entropy (information theory)
Information entropy is the average rate at which information is produced by a stochastic source of data.
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Ergodicity
In probability theory, an ergodic dynamical system is one that, broadly speaking, has the same behavior averaged over time as averaged over the space of all the system's states in its phase space.
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Estimation of distribution algorithm
Estimation of distribution algorithms (EDAs), sometimes called probabilistic model-building genetic algorithms (PMBGAs), are stochastic optimization methods that guide the search for the optimum by building and sampling explicit probabilistic models of promising candidate solutions.
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Evolution strategy
In computer science, an evolution strategy (ES) is an optimization technique based on ideas of evolution.
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Evolutionary algorithm
In artificial intelligence, an evolutionary algorithm (EA) is a subset of evolutionary computation, a generic population-based metaheuristic optimization algorithm.
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Evolutionary computation
In computer science, evolutionary computation is a family of algorithms for global optimization inspired by biological evolution, and the subfield of artificial intelligence and soft computing studying these algorithms.
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Evolutionary ecology
Evolutionary ecology lies at the intersection of ecology and evolutionary biology.
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Evolutionary programming
Evolutionary programming is one of the four major evolutionary algorithm paradigms.
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Evolved antenna
In radio communications, an evolved antenna is an antenna designed fully or substantially by an automatic computer design program that uses an evolutionary algorithm that mimics Darwinian evolution.
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Evolver (software)
Evolver is a software package that allows users to solve a wide variety of optimization problems using a genetic algorithm.
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Extremal optimization
Extremal optimization (EO) is an optimization heuristic inspired by the Bak–Sneppen model of self-organized criticality from the field of statistical physics.
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Feasible region
In mathematical optimization, a feasible region, feasible set, search space, or solution space is the set of all possible points (sets of values of the choice variables) of an optimization problem that satisfy the problem's constraints, potentially including inequalities, equalities, and integer constraints.
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Fitness (biology)
Fitness (often denoted w or ω in population genetics models) is the quantitative representation of natural and sexual selection within evolutionary biology.
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Fitness approximation
In function optimization, fitness approximation is a method for decreasing the number of fitness function evaluations to reach a target solution.
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Fitness function
A fitness function is a particular type of objective function that is used to summarise, as a single figure of merit, how close a given design solution is to achieving the set aims.
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Fitness landscape
In evolutionary biology, fitness landscapes or adaptive landscapes (types of evolutionary landscapes) are used to visualize the relationship between genotypes and reproductive success.
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Floating-point arithmetic
In computing, floating-point arithmetic is arithmetic using formulaic representation of real numbers as an approximation so as to support a trade-off between range and precision.
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Gaussian adaptation
Gaussian adaptation (GA) (also referred to as normal or natural adaptation and sometimes abbreviated as NA) is an evolutionary algorithm designed for the maximization of manufacturing yield due to statistical deviation of component values of signal processing systems.
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Gene expression programming
In computer programming, gene expression programming (GEP) is an evolutionary algorithm that creates computer programs or models.
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Genetic drift
Genetic drift (also known as allelic drift or the Sewall Wright effect) is the change in the frequency of an existing gene variant (allele) in a population due to random sampling of organisms.
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Genetic operator
A genetic operator is an operator used in genetic algorithms to guide the algorithm towards a solution to a given problem.
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Genetic programming
In artificial intelligence, genetic programming (GP) is a technique whereby computer programs are encoded as a set of genes that are then modified (evolved) using an evolutionary algorithm (often a genetic algorithm, "GA") – it is an application of (for example) genetic algorithms where the space of solutions consists of computer programs.
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Genetic representation
In computer programming, genetic representation is a way of representing solutions/individuals in evolutionary computation methods.
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Genotype
The genotype is the part of the genetic makeup of a cell, and therefore of an organism or individual, which determines one of its characteristics (phenotype).
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Global optimization
Global optimization is a branch of applied mathematics and numerical analysis that deals with the global optimization of a function or a set of functions according to some criteria.
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Gray code
The reflected binary code (RBC), also known just as reflected binary (RB) or Gray code after Frank Gray, is an ordering of the binary numeral system such that two successive values differ in only one bit (binary digit).
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Hans-Joachim Bremermann
Hans-Joachim Bremermann (1926–1996) was a German-American mathematician and biophysicist.
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Hans-Paul Schwefel
Hans-Paul Schwefel (born December 4, 1940 in Berlin) is a German computer scientist and professor emeritus at University of Dortmund (now Dortmund University of Technology), where he held the chair of systems analysis from 1985 until 2006.
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Hill climbing
In numerical analysis, hill climbing is a mathematical optimization technique which belongs to the family of local search.
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Holland's schema theorem
Holland's schema theorem, also called the fundamental theorem of genetic algorithms, is an inequality that results from coarse-graining an equation for evolutionary dynamics.
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Ingo Rechenberg
Ingo Rechenberg (born November 20, 1934 in Berlin) is a German researcher and professor currently in the field of bionics.
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Institute for Advanced Study
The Institute for Advanced Study (IAS) in Princeton, New Jersey, in the United States, is an independent, postdoctoral research center for theoretical research and intellectual inquiry founded in 1930 by American educator Abraham Flexner, together with philanthropists Louis Bamberger and Caroline Bamberger Fuld.
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Integer
An integer (from the Latin ''integer'' meaning "whole")Integer 's first literal meaning in Latin is "untouched", from in ("not") plus tangere ("to touch").
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Integer programming
An integer programming problem is a mathematical optimization or feasibility program in which some or all of the variables are restricted to be integers.
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Interactive evolutionary computation
Interactive evolutionary computation (IEC) or aesthetic selection is a general term for methods of evolutionary computation that use human evaluation.
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International Conference on Machine Learning
The International Conference on Machine Learning (ICML) is the leading international academic conference in machine learning.
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Iteration
Iteration is the act of repeating a process, to generate a (possibly unbounded) sequence of outcomes, with the aim of approaching a desired goal, target or result.
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Jean-Marc Jézéquel
Professor Jean-Marc Jézéquel is a French computer scientist.
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John Henry Holland
John Henry Holland (February 2, 1929 – August 9, 2015) was an American scientist and Professor of psychology and Professor of electrical engineering and computer science at the University of Michigan, Ann Arbor.
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John Koza
John R. Koza is a computer scientist and a former adjunct professor at Stanford University, most notable for his work in pioneering the use of genetic programming for the optimization of complex problems.
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John Markoff
John Gregory Markoff (born October 29, 1949) is a journalist best known for his work at The New York Times, and a book and series of articles about the 1990s pursuit and capture of hacker Kevin Mitnick.
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Knapsack problem
The knapsack problem or rucksack problem is a problem in combinatorial optimization: Given a set of items, each with a weight and a value, determine the number of each item to include in a collection so that the total weight is less than or equal to a given limit and the total value is as large as possible.
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Lawrence J. Fogel
Dr.
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Learning classifier system
Learning classifier systems, or LCS, are a paradigm of rule-based machine learning methods that combine a discovery component (e.g. typically a genetic algorithm) with a learning component (performing either supervised learning, reinforcement learning, or unsupervised learning).
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Linked list
In computer science, a linked list is a linear collection of data elements, whose order is not given by their physical placement in memory.
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List (abstract data type)
In computer science, a list or sequence is an abstract data type that represents a countable number of ordered values, where the same value may occur more than once.
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List of genetic algorithm applications
This is a list of genetic algorithm (GA) applications.
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Local optimum
In applied mathematics and computer science, a local optimum of an optimization problem is a solution that is optimal (either maximal or minimal) within a neighboring set of candidate solutions.
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Local search (optimization)
In computer science, local search is a heuristic method for solving computationally hard optimization problems.
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Loss function
In mathematical optimization, statistics, econometrics, decision theory, machine learning and computational neuroscience, a loss function or cost function is a function that maps an event or values of one or more variables onto a real number intuitively representing some "cost" associated with the event.
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Markov chain
A Markov chain is "a stochastic model describing a sequence of possible events in which the probability of each event depends only on the state attained in the previous event".
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Mathematical optimization
In mathematics, computer science and operations research, mathematical optimization or mathematical programming, alternatively spelled optimisation, is the selection of a best element (with regard to some criterion) from some set of available alternatives.
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Maxima and minima
In mathematical analysis, the maxima and minima (the respective plurals of maximum and minimum) of a function, known collectively as extrema (the plural of extremum), are the largest and smallest value of the function, either within a given range (the local or relative extrema) or on the entire domain of a function (the global or absolute extrema).
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Meme
A meme is an idea, behavior, or style that spreads from person to person within a culture—often with the aim of conveying a particular phenomenon, theme, or meaning represented by the meme.
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Memetic algorithm
Memetic algorithms (MAs) represent one of the recent growing areas of research in evolutionary computation.
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Metaheuristic
In computer science and mathematical optimization, a metaheuristic is a higher-level procedure or heuristic designed to find, generate, or select a heuristic (partial search algorithm) that may provide a sufficiently good solution to an optimization problem, especially with incomplete or imperfect information or limited computation capacity.
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Mutation (genetic algorithm)
Mutation is a genetic operator used to maintain genetic diversity from one generation of a population of genetic algorithm chromosomes to the next.
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Natural selection
Natural selection is the differential survival and reproduction of individuals due to differences in phenotype.
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Neural network
The term neural network was traditionally used to refer to a network or circuit of neurons.
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Nils Aall Barricelli
Nils Aall Barricelli (24 January 1912 – 27 January 1993) was a Norwegian-Italian mathematician.
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No free lunch in search and optimization
In computational complexity and optimization the no free lunch theorem is a result that states that for certain types of mathematical problems, the computational cost of finding a solution, averaged over all problems in the class, is the same for any solution method.
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Object (computer science)
In computer science, an object can be a variable, a data structure, a function, or a method, and as such, is a value in memory referenced by an identifier.
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Online optimization
Online optimization is a field of optimization theory, more popular in computer science and operations research, that deals with optimization problems having no or incomplete knowledge of the future (online).
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Operations research
Operations research, or operational research in British usage, is a discipline that deals with the application of advanced analytical methods to help make better decisions.
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Particle filter
Particle filters or Sequential Monte Carlo (SMC) methods are a set of genetic, Monte Carlo algorithms used to solve filtering problems arising in signal processing and Bayesian statistical inference.
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Particle swarm optimization
In computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality.
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Phenotype
A phenotype is the composite of an organism's observable characteristics or traits, such as its morphology, development, biochemical or physiological properties, behavior, and products of behavior (such as a bird's nest).
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Pittsburgh
Pittsburgh is a city in the Commonwealth of Pennsylvania in the United States, and is the county seat of Allegheny County.
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Population
In biology, a population is all the organisms of the same group or species, which live in a particular geographical area, and have the capability of interbreeding.
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Princeton, New Jersey
Princeton is a municipality with a borough form of government in Mercer County, New Jersey, United States, that was established in its current form on January 1, 2013, through the consolidation of the Borough of Princeton and Princeton Township.
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Reinforcement learning
Reinforcement learning (RL) is an area of machine learning inspired by behaviourist psychology, concerned with how software agents ought to take actions in an environment so as to maximize some notion of cumulative reward.
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Rule-based machine learning
Rule-based machine learning (RBML) is a term in computer science intended to encompass any machine learning method that identifies, learns, or evolves 'rules' to store, manipulate or apply.
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Schema (genetic algorithms)
A schema is a template in computer science used in the field of genetic algorithms that identifies a subset of strings with similarities at certain string positions.
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Search algorithm
In computer science, a search algorithm is any algorithm which solves the search problem, namely, to retrieve information stored within some data structure, or calculated in the search space of a problem domain.
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Selection (genetic algorithm)
Selection is the stage of a genetic algorithm in which individual genomes are chosen from a population for later breeding (using the crossover operator).
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Selective breeding
Selective breeding (also called artificial selection) is the process by which humans use animal breeding and plant breeding to selectively develop particular phenotypic traits (characteristics) by choosing which typically animal or plant males and females will sexually reproduce and have offspring together.
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Simulated annealing
Simulated annealing (SA) is a probabilistic technique for approximating the global optimum of a given function.
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Springer Science+Business Media
Springer Science+Business Media or Springer, part of Springer Nature since 2015, is a global publishing company that publishes books, e-books and peer-reviewed journals in science, humanities, technical and medical (STM) publishing.
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Steven Skiena
Steven Sol Skiena (born January 30, 1961) is a Distinguished Teaching Professor of Computer Science at Stony Brook University.
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Stochastic
The word stochastic is an adjective in English that describes something that was randomly determined.
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Stochastic optimization
Stochastic optimization (SO) methods are optimization methods that generate and use random variables.
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Swarm intelligence
Swarm intelligence (SI) is the collective behavior of decentralized, self-organized systems, natural or artificial.
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Tabu search
Tabu search, created by Fred W. Glover in 1986 and formalized in 1989, is a metaheuristic search method employing local search methods used for mathematical optimization.
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The New York Times
The New York Times (sometimes abbreviated as The NYT or The Times) is an American newspaper based in New York City with worldwide influence and readership.
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Timeline
A timeline is a display of a list of events in chronological order.
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Travelling salesman problem
The travelling salesman problem (TSP) asks the following question: "Given a list of cities and the distances between each pair of cities, what is the shortest possible route that visits each city and returns to the origin city?" It is an NP-hard problem in combinatorial optimization, important in operations research and theoretical computer science.
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Tree (data structure)
In computer science, a tree is a widely used abstract data type (ADT)—or data structure implementing this ADT—that simulates a hierarchical tree structure, with a root value and subtrees of children with a parent node, represented as a set of linked nodes.
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Universal Darwinism
Universal Darwinism (also known as generalized Darwinism, universal selection theory, or Darwinian metaphysics) refers to a variety of approaches that extend the theory of Darwinism beyond its original domain of biological evolution on Earth.
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University of Michigan
The University of Michigan (UM, U-M, U of M, or UMich), often simply referred to as Michigan, is a public research university in Ann Arbor, Michigan.
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References
[1] https://en.wikipedia.org/wiki/Genetic_algorithm
