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_a10.1007/978-3-319-55453-2 _2doi |
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_aEvolutionary Computation in Combinatorial Optimization _h[electronic resource] : _b17th European Conference, EvoCOP 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings / _cedited by Bin Hu, Manuel López-Ibáñez. |
| 250 | _a1st ed. 2017. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2017. |
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| 300 |
_aXII, 249 p. 46 illus. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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| 490 | 1 |
_aTheoretical Computer Science and General Issues, _x2512-2029 ; _v10197 |
|
| 505 | 0 | _aA 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 . | |
| 520 | _aThis 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. | ||
| 650 | 0 |
_aNumerical analysis. _94603 |
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_aAlgorithms. _93390 |
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_aComputer science _xMathematics. _93866 |
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_aDiscrete mathematics. _912873 |
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_aComputer science. _99832 |
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| 650 | 0 |
_aArtificial intelligence. _93407 |
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_aNumerical Analysis. _94603 |
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_aAlgorithms. _93390 |
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_aDiscrete Mathematics in Computer Science. _931837 |
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_aTheory of Computation. _9147873 |
| 650 | 2 | 4 |
_aArtificial Intelligence. _93407 |
| 700 | 1 |
_aHu, Bin. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9147874 |
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| 700 | 1 |
_aLópez-Ibáñez, Manuel. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9147875 |
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_iPrinted edition: _z9783319554525 |
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_iPrinted edition: _z9783319554549 |
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_aTheoretical Computer Science and General Issues, _x2512-2029 ; _v10197 _9147877 |
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| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-55453-2 |
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