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Dual-phase evolution

Index Dual-phase evolution

Dual phase evolution (DPE) is a process that drives self-organization within complex adaptive systems. [1]

30 relations: Alfréd Rényi, Baldwin effect, Beech, Cellular evolutionary algorithm, Complex adaptive system, Complex system, Erdős–Rényi model, Forest ecology, Genotype, Graph theory, Great Deluge algorithm, Hill climbing, James R. Goodman, Markov chain, Mathematical optimization, Memetic algorithm, Metaheuristic, Network theory, Paul Erdős, Phenotype, Pollen zone, Scale-free network, Search algorithm, Self-organization, Self-organized criticality, Simulated annealing, Small-world network, Social network, Taxon, Tsuga.

Alfréd Rényi

Alfréd Rényi (20 March 1921 – 1 February 1970) was a Hungarian mathematician who made contributions in combinatorics, graph theory, number theory but mostly in probability theory.

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Baldwin effect

In evolutionary biology, the Baldwin effect describes the effect of learned behavior on evolution.

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Beech

Beech (Fagus) is a genus of deciduous trees in the family Fagaceae, native to temperate Europe, Asia, and North America.

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Cellular evolutionary algorithm

A cellular evolutionary algorithm (cEA) is a kind of evolutionary algorithm (EA) in which individuals cannot mate arbitrarily, but every one interacts with its closer neighbors on which a basic EA is applied (selection, variation, replacement).

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Complex adaptive system

A complex adaptive system is a system in which a perfect understanding of the individual parts does not automatically convey a perfect understanding of the whole system's behavior.

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Complex system

A complex system is a system composed of many components which may interact with each other.

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Erdős–Rényi model

In the mathematical field of graph theory, the Erdős–Rényi model is either of two closely related models for generating random graphs.

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Forest ecology

Forest ecology is the scientific study of the interrelated patterns, processes, flora, fauna and ecosystems in forests.

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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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Graph theory

In mathematics, graph theory is the study of graphs, which are mathematical structures used to model pairwise relations between objects.

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Great Deluge algorithm

The Great Deluge algorithm (GD) is a generic algorithm applied to optimization problems.

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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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James R. Goodman

James Richard "Jim" Goodman (born July 16, 1944) is a professor of computer science at the University of Auckland in Auckland, New Zealand, and emeritus professor at the University of Wisconsin–Madison.

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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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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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Network theory

Network theory is the study of graphs as a representation of either symmetric relations or asymmetric relations between discrete objects.

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Paul Erdős

Paul Erdős (Erdős Pál; 26 March 1913 – 20 September 1996) was a Hungarian mathematician.

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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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Pollen zone

Pollen zones are a system of subdividing the last glacial period and Holocene paleoclimate using the data from pollen cores.

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Scale-free network

A scale-free network is a network whose degree distribution follows a power law, at least asymptotically.

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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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Self-organization

Self-organization, also called (in the social sciences) spontaneous order, is a process where some form of overall order arises from local interactions between parts of an initially disordered system.

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Self-organized criticality

In physics, self-organized criticality (SOC) is a property of dynamical systems that have a critical point as an attractor.

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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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Small-world network

A small-world network is a type of mathematical graph in which most nodes are not neighbors of one another, but the neighbors of any given node are likely to be neighbors of each other and most nodes can be reached from every other node by a small number of hops or steps.

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Social network

A social network is a social structure made up of a set of social actors (such as individuals or organizations), sets of dyadic ties, and other social interactions between actors.

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Taxon

In biology, a taxon (plural taxa; back-formation from taxonomy) is a group of one or more populations of an organism or organisms seen by taxonomists to form a unit.

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Tsuga

Tsuga (from 栂 (ツガ), the name of Tsuga sieboldii) is a genus of conifers in the subfamily Abietoideae.

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Dual Phase Evolution, Dual phase evolution.

References

[1] https://en.wikipedia.org/wiki/Dual-phase_evolution

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