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Evolutionary Algorithms in Intelligent Systems
| Evolutionary Algorithms in Intelligent Systems |
| Autore | Milani Alfredo |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (144 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
adaptive local search operator
association rules big data co-evolution constrained optimization differential evolution ensemble of constraint handling techniques evolutionary algorithms formal methods in evolutionary algorithms Gaussian mutation global continuous optimization horizontal union hybrid algorithms improved learning strategy interval concept lattice memetic particle swarm optimization mining algorithm multi-objective optimization multi-objective optimization problems n/a neural networks neuroevolution parameter analysis parameter puning particle swarm optimization particle swarm optimization (PSO) PSO self-adaptive differential evolutionary algorithms sequence traversal social network optimization stochastic optimization task allocation vertical union wireless sensor networks |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557623203321 |
Milani Alfredo
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Evolutionary Computation & Swarm Intelligence
| Evolutionary Computation & Swarm Intelligence |
| Autore | Caraffini Fabio |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (286 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
algorithmic design
analysis approximate matching benchmark suite compact optimization concept drift concept evolution context-triggered piecewise hashing data integration data sampling DE-MPFSC algorithm density based clustering discrete optimization dynamic stream clustering edit distance entanglement degree estimation distribution algorithms evolutionary algorithms evolutionary computation feature selection fitness trend fuzzy hashing genetic algorithm global/local optimization Holm-Bonferroni hybrid algorithms identification imbalanced data instance weighting k-means centroid kinematic parameters large-scale optimization LZJD manipulator Markov process maximum k-coverage memetic algorithms memetic computing meta-heuristic algorithms metaheuristic optimisation metaheuristics multi-objective deterministic optimization, derivative-free multi-thread programming nature-inspired algorithms normalization one billion variables online clustering optimisation parameter tuning particle swarm Particle Swarm Optimization population based algorithms PSO redundant representation robot routing screening criteria sdhash signatures similarity detection simulation-based design optimization Social Network Optimization ssdeep swarm intelligence Swarm Intelligence Wilcoxon rank-sum wireless sensor networks |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557283803321 |
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Caraffini Fabio
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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