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Theory of Evolutionary Computation [[electronic resource] ] : Recent Developments in Discrete Optimization / / edited by Benjamin Doerr, Frank Neumann
Theory of Evolutionary Computation [[electronic resource] ] : Recent Developments in Discrete Optimization / / edited by Benjamin Doerr, Frank Neumann
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XII, 506 p. 27 illus., 17 illus. in color.)
Disciplina 004.0151
Collana Natural Computing Series
Soggetto topico Computers
Artificial intelligence
Mathematical optimization
Operations research
Decision making
Theory of Computation
Artificial Intelligence
Optimization
Operations Research/Decision Theory
ISBN 3-030-29414-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Probabilistic Tools for the Analysis of Randomized Optimization Heuristics -- Drift Analysis -- Complexity Theory for Discrete Black-Box Optimization Heuristics -- Parameterized Complexity Analysis of Randomized Search Heuristics -- Analysing Stochastic Search Heuristics Operating on a Fixed Budget -- Theory of Parameter Control for Discrete Black-Box Optimization: Provable Performance Gains Through Dynamic Parameter Choices -- Analysis of Evolutionary Algorithms in Dynamic and Stochastic Environments -- The Benefits of Population Diversity in Evolutionary Algorithms: A Survey of Rigorous Runtime Analyses -- Theory of Estimation-of-Distribution Algorithms -- Theoretical Foundations of Immune-Inspired Randomized Search Heuristics for Optimization -- Computational Complexity Analysis of Genetic Programming.
Record Nr. UNISA-996465444203316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Theory of Evolutionary Computation : Recent Developments in Discrete Optimization / / edited by Benjamin Doerr, Frank Neumann
Theory of Evolutionary Computation : Recent Developments in Discrete Optimization / / edited by Benjamin Doerr, Frank Neumann
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XII, 506 p. 27 illus., 17 illus. in color.)
Disciplina 004.0151
Collana Natural Computing Series
Soggetto topico Computer science
Artificial intelligence
Mathematical optimization
Operations research
Theory of Computation
Artificial Intelligence
Optimization
Operations Research and Decision Theory
ISBN 3-030-29414-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Probabilistic Tools for the Analysis of Randomized Optimization Heuristics -- Drift Analysis -- Complexity Theory for Discrete Black-Box Optimization Heuristics -- Parameterized Complexity Analysis of Randomized Search Heuristics -- Analysing Stochastic Search Heuristics Operating on a Fixed Budget -- Theory of Parameter Control for Discrete Black-Box Optimization: Provable Performance Gains Through Dynamic Parameter Choices -- Analysis of Evolutionary Algorithms in Dynamic and Stochastic Environments -- The Benefits of Population Diversity in Evolutionary Algorithms: A Survey of Rigorous Runtime Analyses -- Theory of Estimation-of-Distribution Algorithms -- Theoretical Foundations of Immune-Inspired Randomized Search Heuristics for Optimization -- Computational Complexity Analysis of Genetic Programming.
Record Nr. UNINA-9910734097603321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Theory of randomized search heuristics [[electronic resource] ] : foundations and recent developments / / editors, Anne Auger, Benjamin Doerr
Theory of randomized search heuristics [[electronic resource] ] : foundations and recent developments / / editors, Anne Auger, Benjamin Doerr
Pubbl/distr/stampa Hackensack, N.J., : World Scientific, 2011
Descrizione fisica 1 online resource (370 p.)
Disciplina 005.1
153.4/3
Altri autori (Persone) AugerAnne
DoerrBenjamin
Collana Series on theoretical computer science
Soggetto topico Algorithms
Heuristic
Soggetto genere / forma Electronic books.
ISBN 1-283-14828-5
9786613148285
981-4282-67-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface; Contents; 1. Analyzing Randomized Search Heuristics: Tools from Probability Theory Benjamin Doerr; 2. Runtime Analysis of Evolutionary Algorithms for Discrete Optimization Peter S. Oliveto and Xin Yao; 3. Evolutionary Computation in Combinatorial Optimization Daniel Johannsen; 4. Theoretical Aspects of Evolutionary Multiobjective Optimization Dimo Brockho; 5. Memetic Evolutionary Algorithms Dirk Sudholt; 6. Simulated Annealing Thomas Jansen; 7. Theory of Particle Swarm Optimization Carsten Witt; 8. Ant Colony Optimization: Recent Developments in Theoretical Analysis Walter J. Gutjahr
9. A "No Free Lunch" Tutorial: Sharpened and Focused No Free Lunch Darrell Whitley and Jonathan Rowe10. Theory of Evolution Strategies: A New Perspective Anne Auger and Nikolaus Hansen; 11. Lower Bounds for Evolution Strategies Olivier Teytaud; Subject Index
Record Nr. UNINA-9910461325103321
Hackensack, N.J., : World Scientific, 2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Theory of randomized search heuristics [[electronic resource] ] : foundations and recent developments / / editors, Anne Auger, Benjamin Doerr
Theory of randomized search heuristics [[electronic resource] ] : foundations and recent developments / / editors, Anne Auger, Benjamin Doerr
Pubbl/distr/stampa Hackensack, N.J., : World Scientific, 2011
Descrizione fisica 1 online resource (370 p.)
Disciplina 005.1
153.4/3
Altri autori (Persone) AugerAnne
DoerrBenjamin
Collana Series on theoretical computer science
Soggetto topico Algorithms
Heuristic
ISBN 1-283-14828-5
9786613148285
981-4282-67-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface; Contents; 1. Analyzing Randomized Search Heuristics: Tools from Probability Theory Benjamin Doerr; 2. Runtime Analysis of Evolutionary Algorithms for Discrete Optimization Peter S. Oliveto and Xin Yao; 3. Evolutionary Computation in Combinatorial Optimization Daniel Johannsen; 4. Theoretical Aspects of Evolutionary Multiobjective Optimization Dimo Brockho; 5. Memetic Evolutionary Algorithms Dirk Sudholt; 6. Simulated Annealing Thomas Jansen; 7. Theory of Particle Swarm Optimization Carsten Witt; 8. Ant Colony Optimization: Recent Developments in Theoretical Analysis Walter J. Gutjahr
9. A "No Free Lunch" Tutorial: Sharpened and Focused No Free Lunch Darrell Whitley and Jonathan Rowe10. Theory of Evolution Strategies: A New Perspective Anne Auger and Nikolaus Hansen; 11. Lower Bounds for Evolution Strategies Olivier Teytaud; Subject Index
Record Nr. UNINA-9910789411003321
Hackensack, N.J., : World Scientific, 2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Theory of randomized search heuristics : foundations and recent developments / / editors, Anne Auger, Benjamin Doerr
Theory of randomized search heuristics : foundations and recent developments / / editors, Anne Auger, Benjamin Doerr
Edizione [1st ed.]
Pubbl/distr/stampa Hackensack, N.J., : World Scientific, 2011
Descrizione fisica 1 online resource (370 p.)
Disciplina 005.1
153.4/3
Altri autori (Persone) AugerAnne
DoerrBenjamin
Collana Series on theoretical computer science
Soggetto topico Algorithms
Heuristic
ISBN 1-283-14828-5
9786613148285
981-4282-67-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface; Contents; 1. Analyzing Randomized Search Heuristics: Tools from Probability Theory Benjamin Doerr; 2. Runtime Analysis of Evolutionary Algorithms for Discrete Optimization Peter S. Oliveto and Xin Yao; 3. Evolutionary Computation in Combinatorial Optimization Daniel Johannsen; 4. Theoretical Aspects of Evolutionary Multiobjective Optimization Dimo Brockho; 5. Memetic Evolutionary Algorithms Dirk Sudholt; 6. Simulated Annealing Thomas Jansen; 7. Theory of Particle Swarm Optimization Carsten Witt; 8. Ant Colony Optimization: Recent Developments in Theoretical Analysis Walter J. Gutjahr
9. A "No Free Lunch" Tutorial: Sharpened and Focused No Free Lunch Darrell Whitley and Jonathan Rowe10. Theory of Evolution Strategies: A New Perspective Anne Auger and Nikolaus Hansen; 11. Lower Bounds for Evolution Strategies Olivier Teytaud; Subject Index
Record Nr. UNINA-9910820400203321
Hackensack, N.J., : World Scientific, 2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui