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Dual-phase evolution and Evolutionary computation

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Dual-phase evolution and Evolutionary computation

Dual-phase evolution vs. Evolutionary computation

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

Similarities between Dual-phase evolution and Evolutionary computation

Dual-phase evolution and Evolutionary computation have 4 things in common (in Unionpedia): Mathematical optimization, Memetic algorithm, Metaheuristic, Self-organization.

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.

Dual-phase evolution and Mathematical optimization · Evolutionary computation and Mathematical optimization · See more »

Memetic algorithm

Memetic algorithms (MAs) represent one of the recent growing areas of research in evolutionary computation.

Dual-phase evolution and Memetic algorithm · Evolutionary computation and Memetic algorithm · See more »

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.

Dual-phase evolution and Metaheuristic · Evolutionary computation and Metaheuristic · See more »

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.

Dual-phase evolution and Self-organization · Evolutionary computation and Self-organization · See more »

The list above answers the following questions

Dual-phase evolution and Evolutionary computation Comparison

Dual-phase evolution has 30 relations, while Evolutionary computation has 97. As they have in common 4, the Jaccard index is 3.15% = 4 / (30 + 97).

References

This article shows the relationship between Dual-phase evolution and Evolutionary computation. To access each article from which the information was extracted, please visit:

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