Evolutionary Multi-Criterion Optimization : 9th International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings / edited by Heike Trautmann, Günter Rudolph, Kathrin Klamroth, Oliver Schütze, Margaret Wiecek, Yaochu Jin, Christian Grimme.

1st ed. 2017.
Cham : Springer International Publishing : Imprint: Springer, 2017.
Computer Science (Springer-11645)
LNCS sublibrary. Theoretical computer science and general issues SL 1, 10173
Theoretical Computer Science and General Issues ; 10173
1 online resource (XIV, 702 pages) : 267 illustrations
Numerical analysis.
Artificial intelligence.
Computer networks.
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This book constitutes the refereed proceedings of the 9th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2017 held in Münster, Germany in March 2017. The 33 revised full papers presented together with 13 poster presentations were carefully reviewed and selected from 72 submissions. The EMO 2017 aims to discuss all aspects of EMO development and deployment, including theoretical foundations; constraint handling techniques; preference handling techniques; handling of continuous, combinatorial or mixed-integer problems; local search techniques; hybrid approaches; stopping criteria; parallel EMO models; performance evaluation; test functions and benchmark problems; algorithm selection approaches; many-objective optimization; large scale optimization; real-world applications; EMO algorithm implementations.
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.
Trautmann, Heike. editor., Editor,
Rudolph, Günter, editor., Editor,
Klamroth, Kathrin. editor., Editor,
Schütze, Oliver, editor., Editor,
Wiecek, Margaret. editor., Editor,
Jin, Yaochu. editor., Editor,
Grimme, Christian. editor., Editor,
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