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Interactive evolutionary computation
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strategy, interactive genetic algorithm, interactive genetic programming, and human-based genetic algorithm., An interactive genetic algorithm (IGA) is definedFeature selection (6,669 words) [view diff] no match in snippet view article find links to article
approaches include: Exhaustive Best first Simulated annealing Genetic algorithm Greedy forward selection Greedy backward elimination Particle swarm optimizationHuman-based genetic algorithm (993 words) [view diff] no match in snippet view article find links to article
In evolutionary computation, a human-based genetic algorithm (HBGA) is a genetic algorithm that allows humans to contribute solution suggestions to theList of genetic algorithm applications (2,503 words) [view diff] no match in snippet view article find links to article
This is a list of genetic algorithm (GA) applications. Bayesian inference links to particle methods in Bayesian statistics and hidden Markov chain modelsHuman-based evolutionary computation (817 words) [view diff] no match in snippet view article find links to article
what actually happens on a large scale in Wikipedia. Human-based genetic algorithm (HBGA) provides means for human-based recombination operation (a distinctiveCellular evolutionary algorithm (1,166 words) [view diff] no match in snippet view article find links to article
Durillo, F. Luna, B. Dorronsoro, E. Alba, MOCell: A New Cellular Genetic Algorithm for Multiobjective Optimization, International Journal of IntelligentTournament selection (547 words) [view diff] no match in snippet view article find links to article
Tournament selection is a method of selecting an individual from a population of individuals in a genetic algorithm. Tournament selection involves runningLearning classifier system (6,492 words) [view diff] no match in snippet view article find links to article
learning methods that combine a discovery component (e.g. typically a genetic algorithm) with a learning component (performing either supervised learningHuman-based computation (3,558 words) [view diff] no match in snippet view article find links to article
strategy in EC terms). (HH3) Human-based genetic algorithm (Kosorukoff, 1998) uses both human-based selection and three types of human-based innovation3form (252 words) [view diff] no match in snippet view article find links to article
examples of human-based computation and human-based genetic algorithm. It uses both human-based selection and three types of human-based innovation (contributingEstimation of distribution algorithm (3,906 words) [view diff] no match in snippet view article find links to article
(2003), "Genetic Algorithm Design Inspired by Organizational Theory: Pilot Study of a Dependency Structure Matrix Driven Genetic Algorithm", GeneticComputational neurogenetic modeling (2,259 words) [view diff] no match in snippet view article find links to article
being the genetic algorithm. A genetic algorithm is a process that can be used to refine models by mimicking the process of natural selection observedNeuroevolution (1,779 words) [view diff] no match in snippet view article find links to article
(1994). Neural Network Synthesis Using Cellular Encoding And The Genetic Algorithm. CiteSeerX 10.1.1.29.5939. Clune, J.; Stanley, Kenneth O.; PennockMulti-objective optimization (9,293 words) [view diff] no match in snippet view article find links to article
manufacturing. In 2009, Fiandaca and Fraga used the multi-objective genetic algorithm (MOGA) to optimize the pressure swing adsorption process (cyclic separationGenerative design (1,354 words) [view diff] no match in snippet view article find links to article
Possible design algorithms include cellular automata, shape grammar, genetic algorithm, space syntax, and most recently, artificial neural network. Due toMastermind (board game) (2,502 words) [view diff] no match in snippet view article
uniformly distributed selection of one of the 1,290 patterns with two or more colors. A new algorithm with an embedded genetic algorithm, where a large setEvolutionary music (878 words) [view diff] no match in snippet view article find links to article
and genetic programming. NEUROGEN (Gibson & Byrne, 1991) employed a genetic algorithm to produce and combine musical fragments and a neural network (trainedHeuristicLab (1,117 words) [view diff] no match in snippet view article find links to article
Genetic Algorithm Island Offspring Selection Genetic Algorithm RAPGA SASEGASA Offspring Selection Evolution Strategy (OSES) Offspring Selection Genetic AlgorithmPortfolio optimization (2,420 words) [view diff] no match in snippet view article find links to article
Chance-constrained portfolio selection Intertemporal portfolio choice Financial risk management § Investment management List of genetic algorithm applications § FinanceNeuroevolution of augmenting topologies (1,514 words) [view diff] no match in snippet view article find links to article
NeuroEvolution of Augmenting Topologies (NEAT) is a genetic algorithm (GA) for the generation of evolving artificial neural networks (a neuroevolutionIndex of genetics articles (2,517 words) [view diff] no match in snippet view article find links to article
regulatory network Gene testing Gene theft Gene therapy Gene transfer Genetic algorithm Genetic architecture Genetic carrier Genetic code Genetic counselingDarwin machine (365 words) [view diff] no match in snippet view article find links to article
among the Machines" Evolutionary computation Evolutionary algorithm Genetic algorithm Universal Darwinism William H. Calvin (1987), "The brain as a DarwinJacob Rubinovitz (582 words) [view diff] no match in snippet view article find links to article
and Implications to Economy Principles A genetic algorithm for robotic assembly line balancing Genetic algorithm for linear and cyclic assignment problemCS23D (1,141 words) [view diff] no match in snippet view article find links to article
done by a torsion-angle-based minimizer GAfolder (Genetic Algorithm folder) that uses a genetic algorithm to sample conformation space. The method is similarComputer-automated design (1,362 words) [view diff] no match in snippet view article find links to article
Design Automation Design Automation Conference Generative design Genetic algorithm (GA) applications - automated design Kamentsky, L.A.; Liu, C.-N. (1963)Stochastic universal sampling (318 words) [view diff] no match in snippet view article find links to article
introduced by James Baker. SUS is a development of fitness proportionate selection (FPS) which exhibits no bias and minimal spread. Where FPS chooses severalList of phylogenetics software (1,660 words) [view diff] no match in snippet view article find links to article
selection of best substitution model and parameters. Maximum likelihood, stochastic heuristics (genetic algorithm, metapopulation genetic algorithm,Multiple sequence alignment (6,126 words) [view diff] no match in snippet view article find links to article
been implemented in the software program SAGA (Sequence Alignment by Genetic Algorithm) and its equivalent in RNA is called RAGA. The technique of simulatedArchitectural design optimization (3,221 words) [view diff] no match in snippet view article find links to article
ISBN 978-3-319-65336-5, retrieved 2022-05-13 Su, Zhouzhou; Yan, Wei (2015). "A fast genetic algorithm for solving architectural design optimization problems". AI Edam.Artificial immune system (1,692 words) [view diff] no match in snippet view article find links to article
and the genetic algorithm without the recombination operator. Negative selection algorithm: Inspired by the positive and negative selection processesUjjwal Maulik (1,910 words) [view diff] no match in snippet view article find links to article
; Maulik, U.; Bandyopadhyay, S. (October 2009). "Multi-objective Genetic Algorithm based Fuzzy Clustering of Categorical Attributes". IEEE TransactionsTwo-dimensional filter (1,800 words) [view diff] no match in snippet view article find links to article
IIR digital filters have been reported in the literature. In 2013, genetic algorithm had been successfully used to digital filter design for about a decadeRandom subspace method (953 words) [view diff] no match in snippet view article find links to article
Optimizing Nearest Neighbour in Random Subspaces using a Multi-Objective Genetic Algorithm (PDF). 17th International Conference on Pattern Recognition. pp. 208–211Quality control and genetic algorithms (920 words) [view diff] no match in snippet view article find links to article
optimize and to design novel quality control procedures. Quality control Genetic algorithm Optimization (mathematics) Hoyle D. ISO 9000 quality systems handbookWeasel program (1,780 words) [view diff] no match in snippet view article find links to article
mean that such 'negative mutations' will quickly be 'corrected'. Genetic algorithm Objections to evolution Watchmaker analogy Dawkins, R. (1986) TheGenetic representation (3,099 words) [view diff] no match in snippet view article find links to article
and evolve functional programs with desired properties. Human-based genetic algorithm (HBGA) offers a way to avoid solving hard representation problemsEdge of chaos (1,632 words) [view diff] no match in snippet view article find links to article
cellular automata rules which optimize the performance evolving with a genetic algorithm. Another example of this phenomenon is the self-organized criticalityDual-phase evolution (2,113 words) [view diff] no match in snippet view article find links to article
transition between phases via its cooling schedule. The cellular genetic algorithm places solutions in a pseudo landscape in which they breed only withLead Finder (1,053 words) [view diff] no match in snippet view article find links to article
Lead Finder employs a distinctive approach that combines the use of genetic algorithm search, local optimization techniques, and a utilization of knowledgeProcedural texture (674 words) [view diff] no match in snippet view article find links to article
how this mutation and cross over generation method is achieved, see Genetic algorithm. The process continues until a suitable texture for the user is generatedSpecies distribution modelling (2,200 words) [view diff] no match in snippet view article find links to article
Favourability Function (FF) MAXENT Artificial neural networks (ANN) Genetic Algorithm for Rule Set Production (GARP) Boosted regression trees (BRT)/gradientWatchmaker analogy (4,687 words) [view diff] no match in snippet view article find links to article
because it is unfalsifiable. Existence of God Cosmological argument Genetic algorithm God of the gaps Infinite monkey theorem Irreducible complexity JunkyardOutline of finance (5,679 words) [view diff] no match in snippet view article find links to article
Mathematical Programming (§ EMP for stochastic programming) Genetic algorithm (List of genetic algorithm applications § Finance and Economics) Artificial intelligence:Data mining in agriculture (1,539 words) [view diff] no match in snippet view article find links to article
neural network (GMDH-type network) with an evolutionary method of genetic algorithm was used to predict the metabolizable energy of feather meal and poultryTree alignment (2,283 words) [view diff] no match in snippet view article find links to article
merits depend on the selection of random numbers, the runtime of the A* search algorithm is too long, and the genetic algorithm is easy to fall into localSurrogate model (1,519 words) [view diff] no match in snippet view article find links to article
surrogate model (the model can be searched extensively, e.g., using a genetic algorithm, as it is cheap to evaluate) Run and update experiment/simulationResampling (statistics) (2,177 words) [view diff] no match in snippet view article
function or multiple regression. Bootstrap aggregating (bagging) Genetic algorithm Monte Carlo method Nonparametric statistics Particle filter PseudoreplicationExtremal optimization (1,490 words) [view diff] no match in snippet view article find links to article
on investigating the probability distribution used to control selection. Genetic algorithm Simulated annealing Bak, Per; Tang, Chao; Wiesenfeld, Kurt (1987-07-27)Digital organism (813 words) [view diff] no match in snippet view article find links to article
Core War one step further in his core world system by introducing a genetic algorithm that automatically wrote programs. However, Rasmussen did not observeTrial and error (1,919 words) [view diff] no match in snippet view article find links to article
Brute-force attack Brute-force search Dictionary attack Empiricism Genetic algorithm Learning curve Margin of error Regula falsi Campbell, Donald T. (NovemberAntoon Kolen (478 words) [view diff] no match in snippet view article find links to article
Operations research letters 23.3 (1998): 89-97. Kolen, Antoon. "A genetic algorithm for the partial binary constraint satisfaction problem: an applicationHyper-heuristic (2,522 words) [view diff] no match in snippet view article find links to article
1992, 1495–1509. H. L. Fang, P. Ross, and D. Corne, A promising genetic algorithm approach to job shop scheduling, rescheduling, and open-shop schedulingLand cover maps (2,719 words) [view diff] no match in snippet view article find links to article
between classes following a maximum likelihood discriminant rule. Genetic algorithm – A system of classification that applies genetic principles for selectingComputer-aided process planning (1,169 words) [view diff] no match in snippet view article find links to article
states that "By considering the multi-selection tasks simultaneously, a specially designed genetic algorithm searches through the entire solution spaceSearch-based software engineering (2,310 words) [view diff] no match in snippet view article find links to article
M.; Spacey, S. (2013). "Predicting Regression Test Failures Using Genetic Algorithm-Selected Dynamic Performance Analysis Metrics" (PDF). Search BasedCodon usage bias (3,178 words) [view diff] no match in snippet view article find links to article
translational codon usage bias Online Synonymous Codon Usage Analyses with the ade4 and seqinR packages Genetic Algorithm Simulation for Codon OptimizationAptamer (6,560 words) [view diff] no match in snippet view article find links to article
K, Ikebukuro K (December 2010). "Selection of DNA aptamer against prostate specific antigen using a genetic algorithm and application to sensing". BiosensorsMachine learning (14,186 words) [view diff] no match in snippet view article find links to article
hyperparameter optimization. A genetic algorithm (GA) is a search algorithm and heuristic technique that mimics the process of natural selection, using methods suchRoberto Battiti (494 words) [view diff] no match in snippet view article find links to article
"Brain-Computer Evolutionary Multi-Objective Optimization (BC-EMO): a genetic algorithm adapting to the decision maker" (PDF). IEEE Transactions on EvolutionaryAnt colony optimization algorithms (9,392 words) [view diff] no match in snippet view article find links to article
salesman problem. They have an advantage over simulated annealing and genetic algorithm approaches of similar problems when the graph may change dynamically;V. P. Joy (992 words) [view diff] no match in snippet view article find links to article
Electricity Generation Portfolio Using Intelligent Pareto-Search Genetic Algorithm, International Journal of Electrical Power & Energy Systems 55, 13–20Mexican International Conference on Artificial Intelligence (1,106 words) [view diff] no match in snippet view article find links to article
Imaging 2 Angel Kuri-Morales, Edwin Aldana-Bobadilla Mexico The Best Genetic Algorithm I. A Comparative Study of Structurally Different Genetic AlgorithmsArtificial life (2,302 words) [view diff] no match in snippet view article find links to article
used in alife: Ant colony optimization Bacterial colony optimization Genetic algorithm Genetic programming Swarm intelligence Multi-agent system – A multi-agentParticle filter (16,920 words) [view diff] no match in snippet view article find links to article
{\displaystyle p(x_{0})} . The genetic algorithm selection-mutation transitions ξ k := ( ξ k i ) 1 ⩽ i ⩽ N ⟶ selection ξ ^ k := ( ξ ^ k i ) 1 ⩽ i ⩽ NGene (12,719 words) [view diff] no match in snippet view article find links to article
Gene dosage Gene patent Gene pool Gene redundancy Gene silencing Genetic algorithm Haplotype List of gene prediction software List of notable genes PredictiveDynamic Data Driven Applications Systems (1,510 words) [view diff] no match in snippet view article find links to article
Jack; Sloot, Peter M. A. (eds.), "Applying a Dynamic Data Driven Genetic Algorithm to Improve Forest Fire Spread Prediction", Computational Science –Bio-inspired computing (3,000 words) [view diff] no match in snippet view article find links to article
Evolutionary computation Fuzzy logic Gene expression programming Genetic algorithm Genetic programming Gerald Edelman Janine Benyus Learning classifierSimulation-based optimization (1,743 words) [view diff] no match in snippet view article find links to article
Poley Martins; Kim, Joong Hoon; Fogliatto, Flavio S. (2018). "Chaotic genetic algorithm and Adaboost ensemble metamodeling approach for optimum resource planningBing Xue (727 words) [view diff] no match in snippet view article find links to article
April 2020). "Automatically Designing CNN Architectures Using the Genetic Algorithm for Image Classification". IEEE Transactions on Cybernetics. arXiv:1808Tert-Amyl methyl ether (802 words) [view diff] no match in snippet view article find links to article
was established. The method of nonlinear least square combined with genetic algorithm (NLS-GA) was proposed to estimate the kinetic constant in the forwardFreeform surface machining (566 words) [view diff] no match in snippet view article find links to article
"Optimization of CNC iso-scallop free form surface machining using a genetic algorithm". International Journal of Machine Tools and Manufacture. 46 (7–8):Docking (molecular) (3,857 words) [view diff] no match in snippet view article
Belew RK, Olson AJ (1998). "Automated docking using a Lamarckian genetic algorithm and an empirical binding free energy function". Journal of ComputationalMedoid (3,982 words) [view diff] no match in snippet view article find links to article
module identification algorithm in gene expression data based on genetic algorithm and gene ontology". BMC Genomics. 24 (1): 76. doi:10.1186/s12864-023-09157-zMemetics (7,665 words) [view diff] no match in snippet view article find links to article
cultural unit in a cultural complex system. It is based on the Darwinian genetic algorithm with some modifications to account for the different patterns of evolutionRecurrent neural network (8,082 words) [view diff] no match in snippet view article find links to article
genetic algorithms, especially in unstructured networks. Initially, the genetic algorithm is encoded with the neural network weights in a predefined mannerIntrusion detection system (5,578 words) [view diff] no match in snippet view article find links to article
Alfonseca, M., & Ortega, A. (n.d.). Network Intrusion Detection Using Genetic Algorithm to find Best DNA Signature. http://www.wseas.us/e-library/transacK. Megan McArthur (910 words) [view diff] no match in snippet view article find links to article
shallow water waveguides using measured transmission loss data in a genetic algorithm inversion technique. She served as chief scientist during at-sea dataMicrosleep (3,610 words) [view diff] no match in snippet view article find links to article
Golz, M., Sommer, D., & Wieland, R. (2009, January). Genetic algorithm based feature selection applied on predicting microsleep from speech. In 4th EuropeanWorld Basketball Manager (1,853 words) [view diff] no match in snippet view article find links to article
simulation and challenging AI, which was based on a combination of a genetic algorithm and deterministic logic. The 2005 version of WBM was released in 2005Knapsack problem (7,666 words) [view diff] no match in snippet view article find links to article
Management School, Imperial College, May 1998 Chang, C. S., et al. "Genetic Algorithm Based Bicriterion Optimization for Traction Substations in DC RailwayAutomatic summarization (6,825 words) [view diff] no match in snippet view article find links to article
Bayes, and rule induction. In the case of Turney's GenEx algorithm, a genetic algorithm is used to learn parameters for a domain-specific keyphrase extractionAbess (2,270 words) [view diff] no match in snippet view article find links to article
Wu, Peng and Zhu, Su-Jie (2023). "Adaptive best subset selection algorithm and genetic algorithm aided ensemble learning method identified a robust severityMultidisciplinary design optimization (2,866 words) [view diff] no match in snippet view article find links to article
quadratic programming Hooke-Jeeves pattern search Nelder-Mead method Genetic algorithm Memetic algorithm Particle swarm optimization Harmony search ODMANatural computing (5,144 words) [view diff] no match in snippet view article find links to article
ISBN 978-3-540-23774-7. Thierens, Dirk (11 September 2010). "The Linkage Tree Genetic Algorithm". Parallel Problem Solving from Nature, PPSN XI. pp. 264–273. doi:10Kevin Warwick (5,990 words) [view diff] no match in snippet view article find links to article
provided by a biological brain. Previously, Warwick helped to develop a genetic algorithm named Gershwyn, which was able to exhibit creativity in producingCluster analysis (8,693 words) [view diff] no match in snippet view article find links to article
|journal= (help) Auffarth, B. (July 18–23, 2010). "Clustering by a Genetic Algorithm with Biased Mutation Operator". Wcci Cec. IEEE. Frey, B. J.; DueckLateral computing (4,212 words) [view diff] no match in snippet view article find links to article
successful in solving some of the pattern recognition problems. The genetic algorithm (GA) resembles the natural evolution to provide a universal optimizationList of theorems (5,993 words) [view diff] no match in snippet view article find links to article
analysis) Holditch's theorem (plane geometry) Holland's schema theorem (genetic algorithm) Holmström's theorem (economics) Hopf–Rinow theorem (differentialMulti-task learning (4,487 words) [view diff] no match in snippet view article find links to article
(AutoML) Evolutionary computation General game playing Human-based genetic algorithm Kernel methods for vector output Multitask optimization Robot learningSwarm behaviour (12,846 words) [view diff] no match in snippet view article find links to article
simulate populations of evolving animals. Typically these studies use a genetic algorithm to simulate evolution over many generations. These studies have investigatedTable of metaheuristics (3,449 words) [view diff] no match in snippet view article find links to article
Zuben, F.J. (June 2002). "Learning and optimization using the clonal selection principle". IEEE Transactions on Evolutionary Computation. 6 (3): 239–251Mean-field particle methods (8,237 words) [view diff] no match in snippet view article find links to article
particle model described above reduces to a simple mutation-selection genetic algorithm with fitness function G and mutation transition M. These nonlinearReconfigurable manufacturing system (2,062 words) [view diff] no match in snippet view article find links to article
scalability options. It can perform automatic system balancing based on Genetic Algorithm and statistics. Useful software packages to perform these tasks areComputer simulation and organizational studies (1,764 words) [view diff] no match in snippet view article find links to article
Singh, J. S. (1996). "Organizational Evolution, Learning, and Selection: A Genetic-Algorithm-Based Model". Academy of Management Journal. 39 (5): 1322–1349Organizational structure (6,304 words) [view diff] no match in snippet view article find links to article
Information Security Management Based on Digital Transformation and Genetic Algorithm". Frontiers in Public Health. 10: 921632. doi:10.3389/fpubh.2022.921632Prisoner's dilemma (8,492 words) [view diff] no match in snippet view article find links to article
with low scores die off, and those with high scores reproduce (a genetic algorithm for finding an optimal strategy). The mix of algorithms in the finalLibroadrunner (1,582 words) [view diff] no match in snippet view article find links to article
Ardern-Jones, Michael R; Polak, Marta E (23 February 2022). "Genetic Algorithm with Rank Selection optimises robust parameter estimation for systems biologyCellular neural network (10,029 words) [view diff] no match in snippet view article find links to article
control functions. They have been used to optimize function via a genetic algorithm, to measure distances, to perform optimal path-finding in a complexSliding mode control (7,946 words) [view diff] no match in snippet view article find links to article
analytical and numerical methods. A reusable computing paradigm such as a genetic algorithm can, however, be utilized to transform a 'unsolvable problem' of optimalBiogeography-based optimization (3,404 words) [view diff] no match in snippet view article find links to article
Schlierkamp-Voosen, D. (1993). "Predictive models for the breeder genetic algorithm: I. Continuous parameter optimization". Evolutionary Computation.Smart grid (14,802 words) [view diff] no match in snippet view article find links to article
Pareto Optimal Reconfiguration of Power Distribution Systems Using a Genetic Algorithm Based on NSGA-II. Energies 2013, 6, 1439-1455. "reducing the voltageBiological small-angle scattering (3,450 words) [view diff] no match in snippet view article find links to article
by the binary string of length M. Starting from a random string, a genetic algorithm searches for a model that fits the data. Compactness and connectivityList of sequence alignment software (2,355 words) [view diff] no match in snippet view article find links to article
parametric alignment ensemble generation with consensus and energy-based model selection". Nucleic Acids Research. 34 (17): e112. doi:10.1093/nar/gkl480. PMC 1635247Centrifugal compressor (7,525 words) [view diff] no match in snippet view article find links to article
ISBN 978-0-933283-01-5. Heinrich, Martin; Schwarze, Rüdiger (January 2016). "Genetic Algorithm Optimization of the Volute Shape of a Centrifugal Compressor". InternationalList of RNA structure prediction software (8,423 words) [view diff] no match in snippet view article find links to article
s14335. PMC 3169953. PMID 21918633. Taneda A (2012). "Multi-objective genetic algorithm for pseudoknotted RNA sequence design". Frontiers in Genetics. 3:Vasant Honavar (8,139 words) [view diff] no match in snippet view article find links to article
Feature Subset Selection Using a Genetic Algorithm. IEEE Intelligent Systems (Special Issue on Feature Transformation and Subset Selection). vol. 13. ppVasant Honavar (8,139 words) [view diff] no match in snippet view article find links to article
Feature Subset Selection Using a Genetic Algorithm. IEEE Intelligent Systems (Special Issue on Feature Transformation and Subset Selection). vol. 13. ppShoaling and schooling (12,070 words) [view diff] no match in snippet view article find links to article
simulate populations of evolving animals. Typically these studies use a genetic algorithm to simulate evolution over many generations in the model. These studiesList of fellows of IEEE Computational Intelligence Society (65 words) [view diff] no match in snippet view article find links to article
nonlinear systems 2016 Bandyopadhyay, Sanghamitra For contributions to genetic algorithm based classification and clustering techniques 2016 Cao, Jinde ForList of datasets for machine-learning research (13,264 words) [view diff] no match in snippet view article find links to article
Michael J. Pelosi, and Henry Dirska. "Dynamic-radius species-conserving genetic algorithm for the financial forecasting of Dow Jones index stocks[dead link]State switching (4,732 words) [view diff] no match in snippet view article find links to article
Consequences of Phenotypic Plasticity in Cyclically Varying Environments: A Genetic Algorithm Study". Journal of Theoretical Biology. 178 (2). Elsevier BV: 135–144Phylogenetic reconciliation (15,274 words) [view diff] no match in snippet view article find links to article
feasibility, except Jane, which explores the space of total orders via a genetic algorithm, or, in a post process, Notung, and Eucalypt, which searches insideDirect methods (electron microscopy) (4,253 words) [view diff] no match in snippet view article
for non-commercial purposes. It uses a feasible set approach and genetic algorithm search for solving structures using direct methods, and it also has