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Cohort Intelligence: A Socio-inspired Optimization Method [[electronic resource] /] / by Anand Jayant Kulkarni, Ganesh Krishnasamy, Ajith Abraham
| Cohort Intelligence: A Socio-inspired Optimization Method [[electronic resource] /] / by Anand Jayant Kulkarni, Ganesh Krishnasamy, Ajith Abraham |
| Autore | Kulkarni Anand Jayant |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XI, 134 p. 29 illus.) |
| Disciplina | 006.3 |
| Collana | Intelligent Systems Reference Library |
| Soggetto topico |
Computational intelligence
Artificial intelligence Computational Intelligence Artificial Intelligence |
| ISBN | 3-319-44254-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction To Optimization -- Socio-Inspired Optimization Using Cohort Intelligence -- Cohort Intelligence For Constrained Test Problems -- Modified Cohort Intelligence For Solving Machine Learning Problems -- Solution To 0-1 Knapsack Problem Using Cohort Intelligence Algorithm -- Cohort Intelligence For Solving Travelling Salesman Problems -- Solution To A New Variant Of The Assignment Problem Using Cohort Intelligence Algorithm -- Solution To Sea Cargo Mix (Scm) Problem Using Cohort Intelligence Algorithm -- Solution To The Selection Of Cross-Border Shippers (Scbs) Problem -- Conclusions And Future Directions. |
| Record Nr. | UNINA-9910254347003321 |
Kulkarni Anand Jayant
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Probability Collectives [[electronic resource] ] : A Distributed Multi-agent System Approach for Optimization / / by Anand Jayant Kulkarni, Kang Tai, Ajith Abraham
| Probability Collectives [[electronic resource] ] : A Distributed Multi-agent System Approach for Optimization / / by Anand Jayant Kulkarni, Kang Tai, Ajith Abraham |
| Autore | Kulkarni Anand Jayant |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (162 p.) |
| Disciplina | 006.3 |
| Collana | Intelligent Systems Reference Library |
| Soggetto topico |
Computational intelligence
Artificial intelligence Statistical physics Dynamical systems Computational Intelligence Artificial Intelligence Complex Systems Statistical Physics and Dynamical Systems |
| ISBN | 3-319-16000-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction to Optimization -- Probability Collectives: A Distributed Optimization Approach -- Constrained Probability Collectives: A Heuristic Approach -- Constrained Probability Collectives with a Penalty Function Approach -- Constrained Probability Collectives With Feasibility-Based Rule I -- Probability Collectives for Discrete and Mixed Variable Problems -- Probability Collectives with Feasibility-Based Rule II. |
| Record Nr. | UNINA-9910299701203321 |
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Kulkarni Anand Jayant
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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