Memetic algorithm
A memetic algorithm (MA) in computer science and operations research, is an extension of the traditional genetic algorithm. It may provide a sufficiently good solution to an optimization problem. It uses a local search technique to reduce the likelihood of premature convergence.
- Comment
- enA memetic algorithm (MA) in computer science and operations research, is an extension of the traditional genetic algorithm. It may provide a sufficiently good solution to an optimization problem. It uses a local search technique to reduce the likelihood of premature convergence.
- Date
- enJune 2022
- Has abstract
- enA memetic algorithm (MA) in computer science and operations research, is an extension of the traditional genetic algorithm. It may provide a sufficiently good solution to an optimization problem. It uses a local search technique to reduce the likelihood of premature convergence. Memetic algorithms represent one of the recent growing areas of research in evolutionary computation. The term MA is now widely used as a synergy of evolutionary or any population-based approach with separate individual learning or local improvement procedures for problem search. Quite often, MAs are also referred to in the literature as Baldwinian evolutionary algorithms (EAs), Lamarckian EAs, cultural algorithms, or genetic local search.
- Is primary topic of
- Memetic algorithm
- Label
- enMemetic algorithm
- Link from a Wikipage to an external page
- www.springeronline.com/sgw/cda/frontpage/0,11855,5-40356-72-34233226-0,00.html
- www.mitpressjournals.org/doi/abs/10.1162/1063656041775009%3FprevSearch=allfield%3A%28memetic+algorithm%29
- www.springer.com/journal/12293
- ieeexplore.ieee.org/document/4067075
- www.esi-topics.com/erf/2007/august07-Ong_Keane.html
- www.ntu.edu.sg/home/asysong/ETTC/ETTC%20Task%20Force%20-%20Memetic%20Computing.htm
- www.wcci2008.org/
- web.archive.org/web/20100306001555/http:/cec2007.nus.edu.sg/
- web.archive.org/web/20080216234225/http:/ntu-cg.ntu.edu.sg/ysong/MA-SS/MA.htm
- users.jyu.fi/~neferran/MA2008/MA2008.htm
- www.ntu.edu.sg/home/asysong/SC/Special-Issue-MA.htm
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- Algorithm
- Artificial neural network
- Bin packing problem
- Business analytics
- Category:Evolutionary algorithms
- Charged particle beam
- Chromosome
- Circuit design
- Cluster analysis
- Combinatorial optimization
- Computer science
- Conjugate gradient method
- Data science
- Dual-phase evolution
- Evolutionary algorithm
- Evolutionary computation
- Expert system
- Expression profiling
- Feature selection
- Generalized Assignment Problem
- Genetic algorithm
- Genotype
- Graph coloring
- Graph partition
- Heuristic
- Hill climbing
- Hyper-heuristic
- Independent set problem
- Interior point method
- Knapsack problem
- Local search (optimization)
- Meme
- Motion planning
- NHL
- NP (complexity)
- Nurse rostering problem
- Operations research
- Optimization problem
- Pablo Moscato
- Pattern recognition
- Premature convergence
- Processor allocation
- Quadratic assignment problem
- Richard Dawkins
- Schedule (workplace)
- Set cover problem
- Single machine scheduling
- Travelling salesman problem
- Universal Darwinism
- VLSI
- Reason
- enSection headers should not be phrased as questions
- SameAs
- 31bSt
- Algorithme mémétique
- Algoritmo memético
- m.0bb970
- Memetic algorithm
- Memetischer Algorithmus
- Q324793
- ขั้นตอนวิธีการลอกแบบ
- 미미틱 알고리즘
- Subject
- Category:Evolutionary algorithms
- WasDerivedFrom
- Memetic algorithm?oldid=1100820025&ns=0
- WikiPageLength
- 25809
- Wikipage page ID
- 3989208
- Wikipage revision ID
- 1100820025
- WikiPageUsesTemplate
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- Template:Evolutionary algorithms
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