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Hybrid Metaheuristics [[electronic resource] ] : 4th International Workshop,HM 2007, Dortmund, Germany, October 8-9, 2007, Proceedings / / edited by Thomas Bartz-Beielstein, Maria J. Blesa, Christian Blum, Boris Naujoks, Andrea Roli, Günther Rudolph, Michael Sampels
Hybrid Metaheuristics [[electronic resource] ] : 4th International Workshop,HM 2007, Dortmund, Germany, October 8-9, 2007, Proceedings / / edited by Thomas Bartz-Beielstein, Maria J. Blesa, Christian Blum, Boris Naujoks, Andrea Roli, Günther Rudolph, Michael Sampels
Edizione [1st ed. 2007.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2007
Descrizione fisica 1 online resource (X, 201 p.)
Disciplina 006.3
Collana Theoretical Computer Science and General Issues
Soggetto topico Artificial intelligence
Algorithms
Computer science
Numerical analysis
Pattern recognition systems
Artificial Intelligence
Theory of Computation
Numerical Analysis
Automated Pattern Recognition
ISBN 3-540-75514-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Evolutionary Local Search for the Super-Peer Selection Problem and the p-Hub Median Problem -- An Effective Memetic Algorithm with Population Management for the Split Delivery Vehicle Routing Problem -- Empirical Analysis of Two Different Metaheuristics for Real-World Vehicle Routing Problems -- Guiding ACO by Problem Relaxation: A Case Study on the Symmetric TSP -- Hybrid Local Search Techniques for the Resource-Constrained Project Scheduling Problem -- Evolutionary Clustering Search for Flowtime Minimization in Permutation Flow Shop -- A Hybrid ILS Heuristic to the Referee Assignment Problem with an Embedded MIP Strategy -- On the Combination of Constraint Programming and Stochastic Search: The Sudoku Case -- Improvement Strategies for the F-Race Algorithm: Sampling Design and Iterative Refinement -- Using Branch & Bound Concepts in Construction-Based Metaheuristics: Exploiting the Dual Problem Knowledge -- Gradient-Based/Evolutionary Relay Hybrid for Computing Pareto Front Approximations Maximizing the S-Metric -- A Hybrid VNS for Connected Facility Location -- A Memetic Algorithm for the Optimum Communication Spanning Tree Problem -- Hybrid Numerical Optimization for Combinatorial Network Problems.
Record Nr. UNISA-996465976903316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2007
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Many-Criteria Optimization and Decision Analysis [[electronic resource] ] : State-of-the-Art, Present Challenges, and Future Perspectives / / edited by Dimo Brockhoff, Michael Emmerich, Boris Naujoks, Robin Purshouse
Many-Criteria Optimization and Decision Analysis [[electronic resource] ] : State-of-the-Art, Present Challenges, and Future Perspectives / / edited by Dimo Brockhoff, Michael Emmerich, Boris Naujoks, Robin Purshouse
Autore Brockhoff Dimo
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (364 pages)
Disciplina 006.3823
Altri autori (Persone) EmmerichMichael
NaujoksBoris
PurshouseRobin
Collana Natural Computing Series
Soggetto topico Computer science
Operations research
Theory of Computation
Operations Research and Decision Theory
ISBN 3-031-25263-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1: Introduction to Many-Criteria Optimization and Decision Analysis -- Chapter 2: Key Issues in Real-World Applications of Many-Objective Optimisation and Decision Analysis -- Chapter 3: Identifying Properties of Real-World Optimisation Problems through a Questionnaire -- Chapter 4: Many-Criteria Dominance Relations -- Chapter 5: Many-Objective Quality Measures -- Chapter 6: Benchmarking -- Chapter 7: Visualisation for decision support in many-objective optimisation: state-of-the-art, guidance and future directions -- Chapter 8: Theoretical Aspects of Subset Selection in Multi-Objective Optimisation -- Chapter 9: Identifying Correlations in Understanding and Solving Multi-Objective Problems -- Chapter 10: Bayesian Optimization -- Chapter 11: A game theoretic perspective on Bayesian many-objective optimization -- Chapter 12: Heterogeneous Objectives: State-of-the-Art and Future Research -- Chapter 13: MACODA Ontology and Knowledge Management.
Record Nr. UNISA-996547961503316
Brockhoff Dimo  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Many-Criteria Optimization and Decision Analysis : State-of-the-Art, Present Challenges, and Future Perspectives / / edited by Dimo Brockhoff, Michael Emmerich, Boris Naujoks, Robin Purshouse
Many-Criteria Optimization and Decision Analysis : State-of-the-Art, Present Challenges, and Future Perspectives / / edited by Dimo Brockhoff, Michael Emmerich, Boris Naujoks, Robin Purshouse
Autore Brockhoff Dimo
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (364 pages)
Disciplina 006.3823
Altri autori (Persone) EmmerichMichael
NaujoksBoris
PurshouseRobin
Collana Natural Computing Series
Soggetto topico Computer science
Operations research
Theory of Computation
Operations Research and Decision Theory
ISBN 3-031-25263-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1: Introduction to Many-Criteria Optimization and Decision Analysis -- Chapter 2: Key Issues in Real-World Applications of Many-Objective Optimisation and Decision Analysis -- Chapter 3: Identifying Properties of Real-World Optimisation Problems through a Questionnaire -- Chapter 4: Many-Criteria Dominance Relations -- Chapter 5: Many-Objective Quality Measures -- Chapter 6: Benchmarking -- Chapter 7: Visualisation for decision support in many-objective optimisation: state-of-the-art, guidance and future directions -- Chapter 8: Theoretical Aspects of Subset Selection in Multi-Objective Optimisation -- Chapter 9: Identifying Correlations in Understanding and Solving Multi-Objective Problems -- Chapter 10: Bayesian Optimization -- Chapter 11: A game theoretic perspective on Bayesian many-objective optimization -- Chapter 12: Heterogeneous Objectives: State-of-the-Art and Future Research -- Chapter 13: MACODA Ontology and Knowledge Management.
Record Nr. UNINA-9910736005103321
Brockhoff Dimo  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui