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available. This is followed by a presentation of a variety of data-driven single- and multi-objective optimization algorithms that;
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-verse optimizer, Harris hawks optimization, beta-hill climbing optimization. The book also covers applications of evolutionary data clustering;
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optimization. The book also provides readers a variety of practical applications, including inter-domain learning in vehicle route planning, data;
Vergelijkbare producten zoals Optinformatics in Evolutionary Learning and Optimization
optimization. The book also provides readers a variety of practical applications, including inter-domain learning in vehicle route planning, data;
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A common approach for solving simulation-driven engineering problems is by using metamodel-assisted optimization algorithms, namely;
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as computational intelligence for optimization of communication networks, discovering knowledge from data, simulation-driven DES-like;
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field emerge, different optimization methodologies must be developed and implemented. Exploring Critical Approaches of Evolutionary;
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topical sections: new frontier in evolutionary algorithms; evolutionary multi-objective and dynamic optimization; intelligent multimedia systems;
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This book collects research works of data-driven medical diagnosis done via Artificial Intelligence based solutions, such as Machine;
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Classical and Evolutionary Algorithms in the Optimization of Optical Systems presents research results in the field of classical and;
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, failure detection, data driven optimization algorithm, and a multi-objective optimization approach, all of which can significantly enhance the;
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included sixteen free tutorials to give us all the opportunity to learn about new aspects: gray box optimization in theory; theory of evolutionary;
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, failure detection, data driven optimization algorithm, and a multi-objective optimization approach, all of which can significantly enhance the;
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global convergence in particle swarm optimization, dynamic data clustering, evolutionary neural networks, biomedical applications and;
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type of optimization is generally called multi-objective or multi-criterion optimization. The area of research that applies evolutionary;
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type of optimization is generally called multi-objective or multi-criterion optimization. The area of research that applies evolutionary;
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optimization and artificial neural networks - are described. The book is unique in that it describes evolutionary optimization in a broader context;
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of power distribution systems. It includes a short survey on model-based evolutionary algorithms and study on parameter optimization for support;
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algorithm; bacterial foraging optimization; genetic algorithm and evolutionary computation; multi-objective optimization; machine learning; data;
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Optimization; Particle Swarm Optimization; Ant Colony Optimization; Differential Evolution; Genetic Algorithm and Evolutionary Computation; Fireworks;
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; evolutionary and genetic algorithms; differential evolution; brain storm optimization algorithm; biogeography based optimization; cuckoo search; hybrid;
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; evolutionary and genetic algorithms; differential evolution; brain storm optimization algorithm; biogeography based optimization; cuckoo search; hybrid;
Vergelijkbare producten zoals Advances in Swarm and Computational Intelligence
; evolutionary and genetic algorithms; differential evolution; brain storm optimization algorithm; biogeography based optimization; cuckoo search; hybrid;
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performance optimization of feedback control systems. For their data-driven implementation in deterministic and stochastic systems, the author;
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This book constitutes the refereed proceedings of the 11th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2021;
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This text on evolutionary computation presents an account of neural network and evolutionary programming applications as optimization;
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- and multi-objective optimization, and then goes on to discuss to explore applications of evolutionary algorithms for many uses with real-world;
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