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 | ||
|
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 | ||
|
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 | ||
|