Applications of genetic algorithms
Airlines Revenue Management.[ 1]
Artificial creativity Audio watermark insertion/detection Automated design = computer-automated design
Automated design of mechatronic systems using bond graphs and genetic programming (NSF).
Automated design of industrial equipment using catalogs of exemplar lever patterns.
Automated design of sophisticated trading systems in the financial sector.
Automated design, including research on composite material design and multi-objective design of automotive components for crashworthiness , weight savings, and other characteristics.Bayesian inference ([2] links to particle methods in Bayesian statistics and hidden Markov chain models and [3] a tutorial on genetic particle models)
Bioinformatics multiple sequence alignment .[ 2] Bioinformatics : RNA structure prediction.[ 3] Bioinformatics : Multiple Sequence Alignment .[ 4] [ 5] Bioinformatics : Motif Discovery .[ 6] Biology and computational chemistry ([4] links to particle methods in biology and computational chemistry and [5] an article on genetic particle models)
Building phylogenetic trees .[ 7]
Calculation of bound states and local-density approximations .
Chemical kinetics (gas and solid phases)
Clustering. Using genetic algorithms to optimize a wide range of different fit-functions.[ 8]
Code-breaking , using the GA to search large solution spaces of ciphers for the one correct decryption.[ 9] Computer architecture: using GA to find out weak links in approximate computing such as look-ahead.
Computer-automated design [ 10] Configuration applications, particularly physics applications of optimal molecule configurations for particular systems like C60 (buckyballs ).
Construction of facial composites of suspects by eyewitnesses in forensic science.[ 11]
Container loading optimization.
Control engineering ,.[ 12] [ 13] [ 14] Data Center/Server Farm.[ 15]
Design of water distribution systems .
Distributed computer network topologies .Electronic circuit design, known as evolvable hardware .
Gene expression profiling analysis.[ 16] Feynman-Kac models ([6] links to genetic type particle interpretations, [7] a review article on genetic particle models, and a research monograph [8] )
Financial Mathematics ([9] links to particle methods in mathematical finance and [10] a tutorial on genetic particle models)
File allocation for a distributed system .
Filtering and signal processing ([11] links to particle filters and [12] a tutorial on genetic particle models)
Finding hardware bugs.[ 17] [ 18]
Game theory equilibrium resolution.Genetic Algorithm for Rule Set Production Economics Scheduling applications , including job-shop scheduling and scheduling in printed circuit board assembly.[ 19] sequence-dependent or non-sequence-dependent setup environment in order to maximize the volume of production while minimizing penalties such as tardiness.Groundwater monitoring networks[ 20]
Learning robot behavior using genetic algorithms.
Learning fuzzy rule base using genetic algorithms.
Linguistic analysis, including grammar induction and other aspects of Natural language processing (NLP) such as word sense disambiguation.
Marketing mix analysis Mechanical engineering [ 21] [ 22] Mobile communications infrastructure optimization .
Molecular structure optimization (chemistry).
Multidimensional systems Multimodal Optimization [ 23] [ 24] [ 25]
Multiple criteria production scheduling.[ 26]
Multiple population topologies and interchange methodologies .
Mutation testing Neural Networks ; particularly recurrent neural networks [ 27] Operon prediction.[ 28] Optimisation of data compression systems, for example using wavelets .
Parallelization of GAs/GPs including use of hierarchical decomposition of problem domains and design spaces nesting of irregular shapes using feature matching and GAs.Plant floor layout .Pop music record producer.[ 29] Power electronics design.[ 30] Protein folding and protein/ligand docking .[ 31] [ 32] Quality control Rare event analysis ([13] links to particle rare event simulation and [14] a review article)
Representing rational agents in economic models such as the cobweb model .
Selection of optimal mathematical model to describe biological systems.
Software engineering [citation needed Solving the machine-component grouping problem required for cellular manufacturing systems.
Stochastic optimization ([15] links to particle methods in regulation, optimization, and optimal control)
Tactical asset allocation and international equity strategies.Timetabling problems, such as designing a non-conflicting class timetable for a large university.
Training artificial neural networks when pre-classified training examples are not readily obtainable (neuroevolution ).
Traveling salesman problem and its applications.[ 19] Vehicle routing problems with multiple soft time windows, multiple depots and an heterogeneous fleet
Wireless sensor/ad-hoc networks.[ 33]
References
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