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1. Learning algorithms
: theory and applications in signal processing, control, and communications
by Mars, P. (Phil) and Chen, J. R and Nambiar, R. (Raghu)
1996, 1, Electronic engineering systems series, ISBN 0849378966, 230
Signal processing | Neural networks (Computer science) | Machine learning | Adaptive control systems | Genetic algorithms | Digital Signal Processing
Book
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2. Genetic algorithms for pattern recognition
by Pal, Sankar K and Wang, Paul P
1996, 1, ISBN 9780849394676, xx, 314
Pattern perception | Machine learning | Genetic algorithms | Mathematics & Statistics for Engineers | Intelligent Systems | Computer Graphics & Visualization
Book
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3. Genetic algorithms and genetic programming
: modern concepts and practical applications
by Affenzeller, Michael
2009, Numerical insights, ISBN 1584886293, Volume 6., xxvii, 365
Algorithms | Programming (Mathematics) | Combinatorial optimization | Evolutionary computation
Book
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4. Full Text The Whale Optimization Algorithm
by Mirjalili, Seyedali and Lewis, Andrew
Advances in engineering software (1992), ISSN 0965-9978, 05/2016, Volume 95, pp. 51 - 67
Structural optimization | Heuristic algorithm | Genetic algorithm | Benchmark | Particle swarm optimization | Algorithm | Optimization | Constrained optimization | Engineering | Computer Science, Interdisciplinary Applications | Technology | Engineering, Multidisciplinary | Computer Science | Computer Science, Software Engineering | Science & Technology | Mathematical optimization | Algorithms | Cetacea | Hunting | Mathematical analysis | Heuristic methods | Whales | Strategy | Computer programs
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5. Cognitive search
: evolution, algorithms, and the brain
by Todd, Peter M and Hills, Thomas Trenholm and Robbins, Trevor W
2012, Strüngmann Forum reports, ISBN 0262018098, xi, 403
Brain | Information retrieval | Cognition | Searching behavior | Memory | Bioengineering | Communication, Networking and Broadcast Technologies | Components, Circuits, Devices and Systems | Computing and Processing | Signal Processing and Analysis | searching behavior | memory | cognition | brain | information retrieval
Book
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6. Full Text The (1 + λ) Evolutionary Algorithm with Self-Adjusting Mutation Rate
by Doerr, Benjamin and Gießen, Christian and Witt, Carsten and Yang, Jing
Algorithmica, ISSN 0178-4617, 02/2019, Volume 81, Issue 2, pp. 593 - 631
Mutation | Runtime analysis | Self-adaptation | Evolutionary computation | Physical Sciences | Technology | Computer Science | Mathematics | Computer Science, Software Engineering | Mathematics, Applied | Science & Technology | Analysis | Algorithms | Yeast | Parameters | Adjustment | Evolutionary algorithms | Optimization | Fitness | Genetic algorithms
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7. Full Text A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm
by Karaboga, Dervis and Basturk, Bahriye
Journal of global optimization, ISSN 0925-5001, 11/2007, Volume 39, Issue 3, pp. 459 - 471
Artificial bee colony | Genetic algorithm | Numerical function optimization | Operations Research/Decision Theory | Particle swarm inspired evolutionary algorithm | Swarm intelligence | Computer Science, general | Particle swarm optimization | Optimization | Economics / Management Science | Real Functions | Operations Research & Management Science | Physical Sciences | Mathematics | Mathematics, Applied | Technology | Science & Technology | Honeybee | Algorithms | Television broadcasting industry | Analysis | Mathematical models | Simulation | Artificial intelligence | Bees
Journal Article
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8. Full Text A genetic algorithm‐based stacking algorithm for predicting soil organic matter from vis–NIR spectral data
by Tsakiridis, Nikolaos L and Tziolas, Nikolaos V and Theocharis, John B and Zalidis, George C
European journal of soil science, ISSN 1351-0754, 05/2019, Volume 70, Issue 3, pp. 578 - 590
Middle East | GEO‐CRADLE | soil spectroscopy | North Africa | vis–NIR spectroscopy | Balkans | model stacking | GEO-CRADLE | Soil Science | Agriculture | Life Sciences & Biomedicine | Science & Technology | Genetic research | Analysis | Algorithms | Soil chemistry | Spectroscopy | Permutations | Organic matter | Methodology | Stacking | Analytical techniques | Sediment properties | Spectra | Organic soils | Genetic algorithms | Organic chemistry | Soil properties | Predictions | Soil organic matter | Mathematical models | Reflectance
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9. Full Text Stud krill herd algorithm
by Wang, Gai-Ge and Gandomi, Amir H and Alavi, Amir H
Neurocomputing (Amsterdam), ISSN 0925-2312, 03/2014, Volume 128, pp. 363 - 370
Stud selection and crossover operator | Krill herd | Multimodal function | Stud genetic algorithm | Global optimization problem | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Applied sciences | Algorithmics. Computability. Computer arithmetics | Theoretical computing | Artificial intelligence | Exact sciences and technology | Computer science; control theory; systems | Computer science | Models | Algorithms | Mathematical optimization | Operators | Reproduction | Krill | Genetics | Mathematical models | Studs | Optimization
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10. Full Text Optimal Static and Self-Adjusting Parameter Choices for the $$(1+(\lambda ,\lambda ))$$ (1+(λ,λ)) Genetic Algorithm
by Doerr, Benjamin and Doerr, Benjamin and Doerr, Carola and Doerr, Carola
Algorithmica, ISSN 0178-4617, 5/2018, Volume 80, Issue 5, pp. 1658 - 1709
Computer Systems Organization and Communication Networks | Data Structures, Cryptology and Information Theory | Algorithms | Runtime analysis | Mathematics of Computing | Computer Science | Parameter choice | Theory of Computation | Theory of randomized search heuristics | Parameter control | Algorithm Analysis and Problem Complexity | Genetic algorithms | Genetic research | Analysis | Parameters | Adjustment | Run time (computers) | Bias | Mutation | Optimization | Neural and Evolutionary Computing | Data Structures and Algorithms
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11. Representations for genetic and evolutionary algorithms
by Rothlauf, Franz, 1971
2006, 2nd ed., ISBN 9783540250593, xvii, 325
Genetic programming (Computer science) | Evolutionary programming (Computer science) | Representations of groups | Genetic algorithms | Representations of algebras | Engineering | IT in Business | Artificial Intelligence | Operations Research/Decision Theory | Mathematical and Computational Engineering
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12. Full Text Optimum Operation of Reservoir Using Two Evolutionary Algorithms: Imperialist Competitive Algorithm (ICA) and Cuckoo Optimization Algorithm (COA)
by Hosseini-Moghari, Seyed-Mohammad and Morovati, Reza and Moghadas, Mohammad and Araghinejad, Shahab
Water resources management, ISSN 0920-4741, 8/2015, Volume 29, Issue 10, pp. 3749 - 3769
Environment, general | Earth Sciences | Hydrology/Water Resources | Hydrogeology | Genetic algorithm | Civil Engineering | Optimal operation | Geotechnical Engineering & Applied Earth Sciences | Atmospheric Sciences | Cuckoo optimization algorithm | Imperialist competitive algorithm | Karun4 reservoir | Water Resources | Engineering | Physical Sciences | Technology | Engineering, Civil | Science & Technology | Water | Algorithms | Cuckoos | Imperialism | Genetic research | Reservoirs | Rankings | Management | Mathematical optimization | Water resources management | Policies | Benchmarking | Evolutionary algorithms | Optimization | Genetic algorithms
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