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Everything about Evolution strategy
Algorithm in computer science
In computer science, evolution strategy (ES) is a subclass of evolutionary algorithms, which serves as an optimization technique. It uses the major genetic operators mutation, recombination and selection of parents. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Evolution strategyA 5-minute orientation
- Skim a recent paper: Electrode reconstruction strategy for oxygen evolution reaction: maintaining Fe-CoOOH phase with intermediate-spin state during electrolysisInfluential work since 2022
- Pick up a classic book: Learning Strategies and Cultural Evolution during the PalaeolithicThe most-reprinted book on the subject
- Read the landmark paper: Strategy as guided evolutionCited 278 times
- Go sideways: CMA-ESA closely related topic
- Go sideways: Evolutionary algorithmA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Strategy as guided evolution
An Optimal Strategy of Evolution
Strategy and organizational evolution
Strategy evolution on higher-order networks
Strategy evolution on dynamic networks
Evolution via Strategy Dynamics
Parameter and strategy adaptive differential evolution algorithm based on accompanying evolution
Inertia in strategy switching transforms the strategy evolution
🆕 Influential since 2022
Electrode reconstruction strategy for oxygen evolution reaction: maintaining Fe-CoOOH phase with intermediate-spin state during electrolysis
Photocatalytic hydrogen peroxide evolution: What is the most effective strategy?
Earth energy evolution, human development and carbon neutral strategy
Spin‐Polarization Strategy for Enhanced Acidic Oxygen Evolution Activity
Two-Stage Multiobjective Evolution Strategy for Constrained Multiobjective Optimization
📚 Books worth reading
Learning Strategies and Cultural Evolution during the PalaeolithicAlex Mesoudi, Kenichi Aoki · 2015
Introduction to evolutionary computingAgoston E Eiben, A.E. Eiben · 2003
La stratégie d'entrepriseRaymond-Alain Thiétart · 1986- 📕The Doubters DilemmaMario Daniel Martín · 2016
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- CMA-ES Covariance matrix adaptation evolution strategy (CMA-ES) is a particular kind of strategy for numerical optimization. Evolution strategies (ES) are stochastic…
- Evolutionary algorithm Evolutionary algorithms (EA) reproduce essential elements of biological evolution in a computer algorithm in order to solve "difficult" problems, at least…
- Evolutionary computation Evolutionary computation (EC) from computer science is a family of algorithms for global optimization inspired by biological evolution, and a subfield…
- Genetic algorithm A genetic algorithm (GA) is a metaheuristic inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms (EA)…
- Evolutionary programming Evolutionary programming is an evolutionary algorithm, where a share of the new population is created by mutating the previous population without crossover…
- Natural evolution strategy Natural evolution strategies (NES) are a family of numerical optimization algorithms for black box problems. Similar in spirit to evolution strategies…
- Mutation (evolutionary algorithm) Mutation is a genetic operator used to maintain genetic diversity of the chromosomes of a population of an evolutionary algorithm (EA), including genetic…
- Genotypic and phenotypic repair Genotypic and phenotypic repair are optional components of an evolutionary algorithm (EA). An EA reproduces essential elements of biological evolution…