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Experimental Algorithms [[electronic resource] ] : 9th International Symposium, SEA 2010, Ischia Island, Naples, Italy, May 20-22, 2010. Proceedings / / edited by Paola Festa
Experimental Algorithms [[electronic resource] ] : 9th International Symposium, SEA 2010, Ischia Island, Naples, Italy, May 20-22, 2010. Proceedings / / edited by Paola Festa
Edizione [1st ed. 2010.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010
Descrizione fisica 1 online resource (XII, 514 p. 126 illus.)
Disciplina 005.1
Collana Theoretical Computer Science and General Issues
Soggetto topico Computer programming
Algorithms
Artificial intelligence
Application software
Computer networks
Information storage and retrieval systems
Programming Techniques
Artificial Intelligence
Computer and Information Systems Applications
Computer Communication Networks
Information Storage and Retrieval
ISBN 3-642-13193-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Invited Papers -- Experimental Study of Resilient Algorithms and Data Structures -- Computational Challenges with Cliques, Quasi-cliques and Clique Partitions in Graphs -- Contributed Regular Papers -- Alternative Routes in Road Networks -- Fully Dynamic Speed-Up Techniques for Multi-criteria Shortest Path Searches in Time-Dependent Networks -- Space-Efficient SHARC-Routing -- A New Fully Dynamic Algorithm for Distributed Shortest Paths and Its Experimental Evaluation -- Contraction of Timetable Networks with Realistic Transfers -- Distributed Time-Dependent Contraction Hierarchies -- Practical Compressed Suffix Trees -- Maximum Cliques in Protein Structure Comparison -- Exact Bipartite Crossing Minimization under Tree Constraints -- Bit-Parallel Search Algorithms for Long Patterns -- Fast FPT Algorithms for Computing Rooted Agreement Forests: Theory and Experiments -- Experimental Evaluation of Approximation and Heuristic Algorithms for Sorting Railway Cars -- Time-Dependent Contraction Hierarchies and Approximation -- A New Combinational Logic Minimization Technique with Applications to Cryptology -- Randomized Rounding for Routing and Covering Problems: Experiments and Improvements -- The Time Dependent Traveling Salesman Problem: Polyhedra and Branch-Cut-and-Price Algorithm -- An Approximate ?-Constraint Method for the Multi-objective Undirected Capacitated Arc Routing Problem -- A Branch-and-Price Algorithm for Multi-mode Resource Leveling -- Experiments with a Generic Dantzig-Wolfe Decomposition for Integer Programs -- Using Bound Sets in Multiobjective Optimization: Application to the Biobjective Binary Knapsack Problem -- Improving Cutting Plane Generation with 0-1 Inequalities by Bi-criteria Separation -- New Lower Bounds for the Vehicle Routing Problem with Simultaneous Pickup and Delivery -- A Metaheuristic for a Two Echelon Location-Routing Problem -- New Fast Heuristics for the 2D Strip Packing Problem with Guillotine Constraint -- An Experimental Comparison of Different Heuristics for the Master Bay Plan Problem -- An Analysis of Heuristics for Vertex Colouring -- Automatic Tuning of GRASP with Path-Relinking Heuristics with a Biased Random-Key Genetic Algorithm -- Experiments with a Feasibility Pump Approach for Nonconvex MINLPs -- Paging Multiple Users in Cellular Network: Yellow Page and Conference Call Problems -- Realtime Classification for Encrypted Traffic -- Data Propagation with Guaranteed Delivery for Mobile Networks -- Data Structures Resilient to Memory Faults: An Experimental Study of Dictionaries -- Experiments on Union-Find Algorithms for the Disjoint-Set Data Structure -- Policy-Based Benchmarking of Weak Heaps and Their Relatives, -- Modularity-Driven Clustering of Dynamic Graphs -- Gateway Decompositions for Constrained Reachability Problems -- Robust and Efficient Delaunay Triangulations of Points on Or Close to a Sphere -- Fault Recovery in Wireless Networks: The Geometric Recolouring Approach -- Geometric Minimum Spanning Trees with GeoFilterKruskal -- Practical Nearest Neighbor Search in the Plane.
Record Nr. UNISA-996465328703316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Experimental Algorithms [[electronic resource] ] : 9th International Symposium, SEA 2010, Ischia Island, Naples, Italy, May 20-22, 2010. Proceedings / / edited by Paola Festa
Experimental Algorithms [[electronic resource] ] : 9th International Symposium, SEA 2010, Ischia Island, Naples, Italy, May 20-22, 2010. Proceedings / / edited by Paola Festa
Edizione [1st ed. 2010.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010
Descrizione fisica 1 online resource (XII, 514 p. 126 illus.)
Disciplina 005.1
Collana Theoretical Computer Science and General Issues
Soggetto topico Computer programming
Algorithms
Artificial intelligence
Application software
Computer networks
Information storage and retrieval systems
Programming Techniques
Artificial Intelligence
Computer and Information Systems Applications
Computer Communication Networks
Information Storage and Retrieval
ISBN 3-642-13193-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Invited Papers -- Experimental Study of Resilient Algorithms and Data Structures -- Computational Challenges with Cliques, Quasi-cliques and Clique Partitions in Graphs -- Contributed Regular Papers -- Alternative Routes in Road Networks -- Fully Dynamic Speed-Up Techniques for Multi-criteria Shortest Path Searches in Time-Dependent Networks -- Space-Efficient SHARC-Routing -- A New Fully Dynamic Algorithm for Distributed Shortest Paths and Its Experimental Evaluation -- Contraction of Timetable Networks with Realistic Transfers -- Distributed Time-Dependent Contraction Hierarchies -- Practical Compressed Suffix Trees -- Maximum Cliques in Protein Structure Comparison -- Exact Bipartite Crossing Minimization under Tree Constraints -- Bit-Parallel Search Algorithms for Long Patterns -- Fast FPT Algorithms for Computing Rooted Agreement Forests: Theory and Experiments -- Experimental Evaluation of Approximation and Heuristic Algorithms for Sorting Railway Cars -- Time-Dependent Contraction Hierarchies and Approximation -- A New Combinational Logic Minimization Technique with Applications to Cryptology -- Randomized Rounding for Routing and Covering Problems: Experiments and Improvements -- The Time Dependent Traveling Salesman Problem: Polyhedra and Branch-Cut-and-Price Algorithm -- An Approximate ?-Constraint Method for the Multi-objective Undirected Capacitated Arc Routing Problem -- A Branch-and-Price Algorithm for Multi-mode Resource Leveling -- Experiments with a Generic Dantzig-Wolfe Decomposition for Integer Programs -- Using Bound Sets in Multiobjective Optimization: Application to the Biobjective Binary Knapsack Problem -- Improving Cutting Plane Generation with 0-1 Inequalities by Bi-criteria Separation -- New Lower Bounds for the Vehicle Routing Problem with Simultaneous Pickup and Delivery -- A Metaheuristic for a Two Echelon Location-Routing Problem -- New Fast Heuristics for the 2D Strip Packing Problem with Guillotine Constraint -- An Experimental Comparison of Different Heuristics for the Master Bay Plan Problem -- An Analysis of Heuristics for Vertex Colouring -- Automatic Tuning of GRASP with Path-Relinking Heuristics with a Biased Random-Key Genetic Algorithm -- Experiments with a Feasibility Pump Approach for Nonconvex MINLPs -- Paging Multiple Users in Cellular Network: Yellow Page and Conference Call Problems -- Realtime Classification for Encrypted Traffic -- Data Propagation with Guaranteed Delivery for Mobile Networks -- Data Structures Resilient to Memory Faults: An Experimental Study of Dictionaries -- Experiments on Union-Find Algorithms for the Disjoint-Set Data Structure -- Policy-Based Benchmarking of Weak Heaps and Their Relatives, -- Modularity-Driven Clustering of Dynamic Graphs -- Gateway Decompositions for Constrained Reachability Problems -- Robust and Efficient Delaunay Triangulations of Points on Or Close to a Sphere -- Fault Recovery in Wireless Networks: The Geometric Recolouring Approach -- Geometric Minimum Spanning Trees with GeoFilterKruskal -- Practical Nearest Neighbor Search in the Plane.
Record Nr. UNINA-9910484653303321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Hybrid Metaheuristics [[electronic resource] ] : 8th International Workshop, HM 2013, Ischia, Italy, May 23-25, 2013. Proceedings / / edited by Maria J. Blesa, Christian Blum, Paola Festa, Andrea Roli, Michael Sampels
Hybrid Metaheuristics [[electronic resource] ] : 8th International Workshop, HM 2013, Ischia, Italy, May 23-25, 2013. Proceedings / / edited by Maria J. Blesa, Christian Blum, Paola Festa, Andrea Roli, Michael Sampels
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (X, 213 p. 41 illus.)
Disciplina 006.3
Collana Theoretical Computer Science and General Issues
Soggetto topico Artificial intelligence
Numerical analysis
Algorithms
Computer science
Artificial Intelligence
Numerical Analysis
Theory of Computation
ISBN 3-642-38516-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996466288803316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Hybrid Metaheuristics [[electronic resource] ] : 8th International Workshop, HM 2013, Ischia, Italy, May 23-25, 2013. Proceedings / / edited by Maria J. Blesa, Christian Blum, Paola Festa, Andrea Roli, Michael Sampels
Hybrid Metaheuristics [[electronic resource] ] : 8th International Workshop, HM 2013, Ischia, Italy, May 23-25, 2013. Proceedings / / edited by Maria J. Blesa, Christian Blum, Paola Festa, Andrea Roli, Michael Sampels
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (X, 213 p. 41 illus.)
Disciplina 006.3
Collana Theoretical Computer Science and General Issues
Soggetto topico Artificial intelligence
Numerical analysis
Algorithms
Computer science
Artificial Intelligence
Numerical Analysis
Theory of Computation
ISBN 3-642-38516-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910483990403321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Learning and Intelligent Optimization [[electronic resource] ] : 10th International Conference, LION 10, Ischia, Italy, May 29 -- June 1, 2016, Revised Selected Papers / / edited by Paola Festa, Meinolf Sellmann, Joaquin Vanschoren
Learning and Intelligent Optimization [[electronic resource] ] : 10th International Conference, LION 10, Ischia, Italy, May 29 -- June 1, 2016, Revised Selected Papers / / edited by Paola Festa, Meinolf Sellmann, Joaquin Vanschoren
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (XI, 309 p. 74 illus.)
Disciplina 005.1
Collana Theoretical Computer Science and General Issues
Soggetto topico Algorithms
Computer science
Artificial intelligence
Computer science—Mathematics
Discrete mathematics
Computer simulation
Computer Science Logic and Foundations of Programming
Artificial Intelligence
Discrete Mathematics in Computer Science
Theory of Computation
Computer Modelling
ISBN 3-319-50349-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Learning a stopping criteria for Local Search -- Surrogate Assisted Feature Computation for Continuous Problems -- MO-ParamILS: A Multi-objective Automatic Algorithm Configuration Framework -- Evolving Instances for Maximizing Performance Differences of State-of-The-Art Inexact TSP Solvers -- Extreme Reactive Portfolio (XRP): Tuning an Algorithm Population for Global Optimization -- Bounding the Search Space of the Population Harvest Cutting Problem with Multiple Size Stock Selection -- Designing and comparing multiple portfolios of parameter configurations for online algorithm selection -- Portfolios of Subgraph Isomorphism Algorithms -- Structure-preserving Instance Generation -- Feature Selection using Tabu Search with Learning Memory: Learning Tabu Search -- The Impact of Automated Algorithm Configuration on the Scaling Behaviour of State-of-the-art Inexact TSP Solvers -- Requests Management for Smartphone-based Matching Applications using a Multi-Agent Approach -- Self-Organizing Neural Network for Adaptive Operator Selection in Evolutionary Search -- Quantifying the Similarity of Algorithm Configurations -- Neighborhood synthesis from an ensemble of MIP and CP models -- Parallelizing Constraint Solvers for Hard RCPSP Instances -- Characterization of neighborhood behaviours in a multi-neighborhood local search algorithm -- Constraint Programming and Machine Learning for Interactive Soccer Analysis -- A Matheuristic Approach for the p-Cable Trench Problem -- An Empirical Study of Per-Instance Algorithm Scheduling -- Dynamic strategy to diversify search using history map in parallel solving -- Faster Model Based Optimization through Resource Aware Scheduling Strategies -- Risk-Averse Anticipation for Dynamic Vehicle Routing -- Solving GENOPT problems with the use of ExaMin solver -- Hybridisation of Evolutionary Algorithms through Hyper-heuristics for Global Continuous Optimisation.
Record Nr. UNISA-996465494403316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Learning and Intelligent Optimization [[electronic resource] ] : 10th International Conference, LION 10, Ischia, Italy, May 29 -- June 1, 2016, Revised Selected Papers / / edited by Paola Festa, Meinolf Sellmann, Joaquin Vanschoren
Learning and Intelligent Optimization [[electronic resource] ] : 10th International Conference, LION 10, Ischia, Italy, May 29 -- June 1, 2016, Revised Selected Papers / / edited by Paola Festa, Meinolf Sellmann, Joaquin Vanschoren
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (XI, 309 p. 74 illus.)
Disciplina 005.1
Collana Theoretical Computer Science and General Issues
Soggetto topico Algorithms
Computer science
Artificial intelligence
Computer science—Mathematics
Discrete mathematics
Computer simulation
Computer Science Logic and Foundations of Programming
Artificial Intelligence
Discrete Mathematics in Computer Science
Theory of Computation
Computer Modelling
ISBN 3-319-50349-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Learning a stopping criteria for Local Search -- Surrogate Assisted Feature Computation for Continuous Problems -- MO-ParamILS: A Multi-objective Automatic Algorithm Configuration Framework -- Evolving Instances for Maximizing Performance Differences of State-of-The-Art Inexact TSP Solvers -- Extreme Reactive Portfolio (XRP): Tuning an Algorithm Population for Global Optimization -- Bounding the Search Space of the Population Harvest Cutting Problem with Multiple Size Stock Selection -- Designing and comparing multiple portfolios of parameter configurations for online algorithm selection -- Portfolios of Subgraph Isomorphism Algorithms -- Structure-preserving Instance Generation -- Feature Selection using Tabu Search with Learning Memory: Learning Tabu Search -- The Impact of Automated Algorithm Configuration on the Scaling Behaviour of State-of-the-art Inexact TSP Solvers -- Requests Management for Smartphone-based Matching Applications using a Multi-Agent Approach -- Self-Organizing Neural Network for Adaptive Operator Selection in Evolutionary Search -- Quantifying the Similarity of Algorithm Configurations -- Neighborhood synthesis from an ensemble of MIP and CP models -- Parallelizing Constraint Solvers for Hard RCPSP Instances -- Characterization of neighborhood behaviours in a multi-neighborhood local search algorithm -- Constraint Programming and Machine Learning for Interactive Soccer Analysis -- A Matheuristic Approach for the p-Cable Trench Problem -- An Empirical Study of Per-Instance Algorithm Scheduling -- Dynamic strategy to diversify search using history map in parallel solving -- Faster Model Based Optimization through Resource Aware Scheduling Strategies -- Risk-Averse Anticipation for Dynamic Vehicle Routing -- Solving GENOPT problems with the use of ExaMin solver -- Hybridisation of Evolutionary Algorithms through Hyper-heuristics for Global Continuous Optimisation.
Record Nr. UNINA-9910484319303321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Metaheuristics for string problems in bio-informatics / / Christian Blum, Paola Festa
Metaheuristics for string problems in bio-informatics / / Christian Blum, Paola Festa
Autore Blum C (Christian)
Pubbl/distr/stampa London, England ; ; Hoboken, New Jersey : , : ISTE : , : Wiley, , 2016
Descrizione fisica 1 online resource (232 p.)
Disciplina 572.80285
Collana Computer Engineering Series
Soggetto topico Bioinformatics
Soggetto genere / forma Electronic books.
ISBN 1-119-13680-6
1-119-13679-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover ; Dedication; Title Page ; Copyright ; Contents; Preface; Acknowledgments; List of Acronyms; 1. Introduction; 1.1. Complete methods for combinatorial optimization; 1.1.1. Linear programming relaxation; 1.1.2. Cutting plane techniques; 1.1.3. General-purpose ILP solvers; 1.1.4. Dynamic programming; 1.2. Approximate methods: metaheuristics; 1.2.1. Ant colony optimization; 1.2.2. Evolutionary algorithms; 1.2.3. Greedy randomized adaptive search procedures; 1.2.4. Iterated local search; 1.2.5. Simulated annealing; 1.2.6. Other metaheuristics; 1.2.7. Hybrid approaches
1.3. Outline of the book2. Minimum Common String Partition Problem; 2.1. The MCSP problem; 2.1.1. Technical description of the UMCSP problem; 2.1.2. Literature review; 2.1.3. Organization of this chapter; 2.2. An ILP model for the UMCSP problem; 2.3. Greedy approach; 2.4. Construct, merge, solve and adapt; 2.5. Experimental evaluation; 2.5.1. Benchmarks; 2.5.2. Tuning CMSA; 2.5.3. Results; 2.6. Future work; 3. Longest Common Subsequence Problems; 3.1. Introduction; 3.1.1. LCS problems; 3.1.2. ILP models for LCS and RFLCS problems; 3.1.3. Organization of this chapter
3.2. Algorithms for the LCS problem 3.2.1. Beam search; 3.2.2. Upper bound; 3.2.3. Beam search framework; 3.2.4. Beam-ACO; 3.2.5. Experimental evaluation; 3.3. Algorithms for the RFLCS problem; 3.3.1. CMSA; 3.3.2. Experimental evaluation; 3.4. Future work; 4. The Most Strings With Few Bad Columns Problem; 4.1. The MSFBC problem; 4.1.1. Literature review; 4.2. An ILP model for the MSFBC problem; 4.3. Heuristic approaches; 4.3.1. Frequency-based greedy; 4.3.2. Truncated pilot method; 4.4. ILP-based large neighborhood search; 4.5. Experimental evaluation; 4.5.1. Benchmarks; 4.5.2. Tuning of LNS
4.5.3. Results4.6. Future work; 5. Consensus String Problems; 5.1. Introduction; 5.1.1. Creating diagnostic probes for bacterial infections; 5.1.2. Primer design; 5.1.3. Discovering potential drug targets; 5.1.4. Motif search; 5.2. Organization of this chapter; 5.3. The closest string problem and the close to most string problem; 5.3.1. ILP models for the CSP and the CTMSP; 5.3.2. Literature review; 5.3.3. Exact approaches for the CSP; 5.3.4. Approximation algorithms for the CSP; 5.3.5. Heuristics and metaheuristics for the CSP
5.4. The farthest string problem and the far from most string problem5.4.1. ILP models for the FSP and the FFMSP; 5.4.2. Literature review; 5.4.3. Heuristics and metaheuristics for the FFMSP; 5.5. An ILP-based heuristic; 5.6. Future work; 6. Alignment Problems; 6.1. Introduction; 6.1.1. Organization of this chapter; 6.2. The pairwise alignment problem; 6.2.1. Smith and Waterman's algorithm; 6.3. The multiple alignment problem; 6.3.1. Heuristics for the multiple alignment problem; 6.3.2. Metaheuristics for the multiple alignment problem; 6.4. Conclusion and future work; 7. Conclusions
7.1. DNA sequencing
Record Nr. UNINA-9910135017903321
Blum C (Christian)  
London, England ; ; Hoboken, New Jersey : , : ISTE : , : Wiley, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Metaheuristics for string problems in bio-informatics / / Christian Blum, Paola Festa
Metaheuristics for string problems in bio-informatics / / Christian Blum, Paola Festa
Autore Blum C (Christian)
Pubbl/distr/stampa London, England ; ; Hoboken, New Jersey : , : ISTE : , : Wiley, , 2016
Descrizione fisica 1 online resource (232 p.)
Disciplina 572.80285
Collana Computer Engineering Series
Soggetto topico Bioinformatics
ISBN 1-119-13680-6
1-119-13679-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover ; Dedication; Title Page ; Copyright ; Contents; Preface; Acknowledgments; List of Acronyms; 1. Introduction; 1.1. Complete methods for combinatorial optimization; 1.1.1. Linear programming relaxation; 1.1.2. Cutting plane techniques; 1.1.3. General-purpose ILP solvers; 1.1.4. Dynamic programming; 1.2. Approximate methods: metaheuristics; 1.2.1. Ant colony optimization; 1.2.2. Evolutionary algorithms; 1.2.3. Greedy randomized adaptive search procedures; 1.2.4. Iterated local search; 1.2.5. Simulated annealing; 1.2.6. Other metaheuristics; 1.2.7. Hybrid approaches
1.3. Outline of the book2. Minimum Common String Partition Problem; 2.1. The MCSP problem; 2.1.1. Technical description of the UMCSP problem; 2.1.2. Literature review; 2.1.3. Organization of this chapter; 2.2. An ILP model for the UMCSP problem; 2.3. Greedy approach; 2.4. Construct, merge, solve and adapt; 2.5. Experimental evaluation; 2.5.1. Benchmarks; 2.5.2. Tuning CMSA; 2.5.3. Results; 2.6. Future work; 3. Longest Common Subsequence Problems; 3.1. Introduction; 3.1.1. LCS problems; 3.1.2. ILP models for LCS and RFLCS problems; 3.1.3. Organization of this chapter
3.2. Algorithms for the LCS problem 3.2.1. Beam search; 3.2.2. Upper bound; 3.2.3. Beam search framework; 3.2.4. Beam-ACO; 3.2.5. Experimental evaluation; 3.3. Algorithms for the RFLCS problem; 3.3.1. CMSA; 3.3.2. Experimental evaluation; 3.4. Future work; 4. The Most Strings With Few Bad Columns Problem; 4.1. The MSFBC problem; 4.1.1. Literature review; 4.2. An ILP model for the MSFBC problem; 4.3. Heuristic approaches; 4.3.1. Frequency-based greedy; 4.3.2. Truncated pilot method; 4.4. ILP-based large neighborhood search; 4.5. Experimental evaluation; 4.5.1. Benchmarks; 4.5.2. Tuning of LNS
4.5.3. Results4.6. Future work; 5. Consensus String Problems; 5.1. Introduction; 5.1.1. Creating diagnostic probes for bacterial infections; 5.1.2. Primer design; 5.1.3. Discovering potential drug targets; 5.1.4. Motif search; 5.2. Organization of this chapter; 5.3. The closest string problem and the close to most string problem; 5.3.1. ILP models for the CSP and the CTMSP; 5.3.2. Literature review; 5.3.3. Exact approaches for the CSP; 5.3.4. Approximation algorithms for the CSP; 5.3.5. Heuristics and metaheuristics for the CSP
5.4. The farthest string problem and the far from most string problem5.4.1. ILP models for the FSP and the FFMSP; 5.4.2. Literature review; 5.4.3. Heuristics and metaheuristics for the FFMSP; 5.5. An ILP-based heuristic; 5.6. Future work; 6. Alignment Problems; 6.1. Introduction; 6.1.1. Organization of this chapter; 6.2. The pairwise alignment problem; 6.2.1. Smith and Waterman's algorithm; 6.3. The multiple alignment problem; 6.3.1. Heuristics for the multiple alignment problem; 6.3.2. Metaheuristics for the multiple alignment problem; 6.4. Conclusion and future work; 7. Conclusions
7.1. DNA sequencing
Record Nr. UNINA-9910830894303321
Blum C (Christian)  
London, England ; ; Hoboken, New Jersey : , : ISTE : , : Wiley, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui