| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNISA996394112003316 |
|
|
Autore |
Warwick Robert Rich, Earl of, <1587-1658.> |
|
|
Titolo |
A letter from the Earl of Warwick [[electronic resource] ] : relating the taking of all the forts, and 16 pieces of ordnance from the malignant Cornishmen that had before besieged the city of Exeter : together with an apologie made by an English |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
London, : Printed for John Partridge, July 29, 1643 |
|
|
|
|
|
|
|
Descrizione fisica |
|
|
|
|
|
|
Altri autori (Persone) |
|
English officer of qualitie |
|
|
|
|
|
|
Soggetti |
|
Ireland History 17th century |
Great Britain History Civil War, 1642-1649 |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
Reproduction of original in Thomason Collection, British Library. |
|
|
|
|
|
|
Sommario/riassunto |
|
|
|
|
|
|
|
|
|
|
|
|
|
2. |
Record Nr. |
UNINA9910483329803321 |
|
|
Titolo |
Evolutionary Computation in Combinatorial Optimization : 17th European Conference, EvoCOP 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings / / edited by Bin Hu, Manuel López-Ibáñez |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
|
|
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Edizione |
[1st ed. 2017.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (XII, 249 p. 46 illus.) |
|
|
|
|
|
|
Collana |
|
Theoretical Computer Science and General Issues, , 2512-2029 ; ; 10197 |
|
|
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Numerical analysis |
Algorithms |
Computer science - Mathematics |
Discrete mathematics |
Computer science |
Artificial intelligence |
Numerical Analysis |
Discrete Mathematics in Computer Science |
Theory of Computation |
Artificial Intelligence |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references and index. |
|
|
|
|
|
|
Nota di contenuto |
|
A Computational Study of Neighborhood Operators for Job-shop Scheduling Problems with Regular Objectives -- A Genetic Algorithm for Multi-Component Optimization Problems: the Case of the Travelling Thief Problem -- A Hybrid Feature Selection Algorithm Based on Large Neighborhood Search -- A Memetic Algorithm to Maximise the Employee Substitutability in Personnel Shift Scheduling -- Construct, Merge, Solve and Adapt versus Large Neighborhood Search for Solving the Multi-Dimensional Knapsack Problem: Which One Works Better When -- Decomposing SAT Instances with Pseudo Backbones -- Efficient Consideration of Soft Time Windows in a Large Neighborhood |
|
|
|
|
|
|
|
|
|
|
|
Search for the Districting and Routing Problem for Security Control -- Estimation of Distribution Algorithms for the Firefighter Problem -- LCS-Based Selective Route Exchange Crossover for the Pickup and Delivery Problem with Time Windows -- Multi-rendezvous Spacecraft Trajectory Optimization with Beam P-ACO -- Optimizing Charging Station Locations for Electric Car-Sharing Systems -- Selection of Auxiliary Objectives Using Landscape Features and Offline Learned Classifier -- Sparse, Continuous Policy Representations for Uniform Online Bin Packing via Regression of Interpolants -- The Weighted Independent Domination Problem: ILP Model and Algorithmic . |
|
|
|
|
|
|
Sommario/riassunto |
|
This book constitutes the refereed proceedings of the 17th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2017, held in Amsterdam, The Netherlands, in April 2017, co-located with the Evo*2017 events EuroGP, EvoMUSART and EvoApplications. The 16 revised full papers presented were carefully reviewed and selected from 39 submissions. The papers cover both empirical and theoretical studies on a wide range of academic and real-world applications. The methods include evolutionary and memetic algorithms, large neighborhood search, estimation of distribution algorithms, beam search, ant colony optimization, hyper-heuristics and matheuristics. Applications include both traditional domains, such as knapsack problem, vehicle routing, scheduling problems and SAT; and newer domains such as the traveling thief problem, location planning for car-sharing systems and spacecraft trajectory optimization. Papers also study important concepts such as pseudo-backbones, phase transitions in local optima networks, and the analysis of operators. This wide range of topics makes the EvoCOP proceedings an important source for current research trends in combinatorial optimization. |
|
|
|
|
|
|
|
| |