Evolutionary Multi-Criterion Optimization : 9th International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings /
| Autor Corporativo: | |
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| Otros Autores: | , , , , , , |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
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| Edición: | 1st ed. 2017. |
| Colección: | Theoretical Computer Science and General Issues ;
10173 |
| Materias: |
Tabla de Contenidos:
- On the effect of scalarising norm choice in a ParEGO implementation
- Multi-objective big data optimization with Metal and Spark
- An empirical assessment of the properties of inverted generational distance indicators on multi- and many-objective optimization
- Solving the Bi-objective traveling thief problem with multi-objective evolutionary algorithms
- Automatically Configuring multi-objective local search using multi-objective optimization
- The multi-objective shortest path problem is NP-hard, or is it
- Angle-based preference models in multi-objective optimization
- Quantitative performance assessment of multi-objective optimizers: The average runtime attainment function
- A multi-objective strategy to allocate roadside units in a vehicular network with guaranteed levels of service
- An approach for the local exploration of discrete many objective optimization problems
- A note on the detection of outliers in a binary outranking relation
- Classifying meta-modeling methodologies for evolutionary multi-objective optimization: First results
- Weighted stress function method for multi-objective evolutionary algorithm based on decomposition
- Timing the decision support for real-world many-objective problems
- On the influence of altering the action set on PROMETHEE II's relative ranks
- Peek { Shape { Grab: a methodology in three stages for approximating the non-dominated points of multi-objective discrete combinatorial optimization problems with a multi-objective meta-heuristic
- A new reduced-length genetic representation for evolutionary multi-objective clustering
- A fast incremental BSP tree archive for non-dominated points
- Adaptive operator selection for many-objective optimization with NSGA-III
- On using decision maker preferences with ParEGO
- First investigations on noisy model-based multi-objective optimization
- Fusion of many-objective non-dominated solutions using reference points
- An expedition to multi-modal multi-objective optimization landscapes
- Neutral neighbors in Bi-objective optimization: Distribution of the most promising for permutation problems
- Multi-objective adaptation of a parameterized GVGAI agent towards several games
- Towards standardized and seamless integration of expert knowledge into multi-objective evolutionary optimization algorithms
- Empirical investigations of reference point based methods when facing a massively large number of objectives: First results
- Building and using an ontology of preference-based multi-objective evolutionary algorithms
- A fitness landscape analysis of pareto local search on Bi-objective permutation flow-shop scheduling problems
- Dimensionality reduction approach for many-objective vehicle routing problem with demand responsive transport
- Heterogeneous evolutionary swarms with partial redundancy solving multi-objective tasks
- Multiple meta-models for robustness estimation in multi-objective robust optimization
- Predator-Prey techniques for solving multi-objective scheduling problems for unrelated parallel machines
- An overview of weighted and unconstrained scalarizing functions
- Multi-objective representation setups for deformation-based design optimization
- Design perspectives of an evolutionary process for multi-objective molecular optimization
- Towards a better balance of diversity and convergence in NSGA-III: First results
- A comparative study of fast adaptive preference-guided evolutionary multi-objective optimization
- A population-based algorithm for learning a majority rule sorting model with coalitional veto
- Injection of extreme points in evolutionary multio-objective optimization algorithms
- The impact of population size, number of children, and number of reference points on the performance of NSGA-III
- Multi-objective optimization for liner shipping fleet repositioning
- Surrogate-assisted partial order-based evolutionary optimization
- Hyper-volume indicator gradient ascent multi-objective optimization
- Toward step-size adaptation in evolutionary multi-objective optimization
- Computing 3-D expected hyper-volume improvement and related integrals in asymptotically optimal time.