Journal: Lecture Notes in Economics and Mathematical Systems

Abbreviation

Lect. Notes Econ. Math. Syst.

Publisher

Springer

Journal Volumes

ISSN

0075-8442
2196-9957

Description

Filters

2004 - 20107
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Publications 1 - 7 of 7
  • Investigating Coverage and Connectivity Trade-offs in Wireless Sensor Networks
    Item type: Conference Paper
    Woehrle, Matthias; Brockhoff, Dimo; Hohm, Tim; et al. (2010)
    Lecture Notes in Economics and Mathematical Systems ~ Multiple criteria decision making for sustainable energy and transportation systems: proceedings of the 19th International Conference on Multiple Criteria Decision Making, Auckland, New Zealand, 7th-12th January 2008
  • Macroeconomic consequences of demographic change
    Item type: Monograph
    Rausch, Sebastian (2009)
    Lecture Notes in Economics and Mathematical Systems
  • Faster Hypervolume-Based Search Using Monte Carlo Sampling
    Item type: Conference Paper
    Bader, Johannes; Deb, Kalyanmoy; Zitzler, Eckart (2010)
    Lecture Notes in Economics and Mathematical Systems ~ Multiple criteria decision making for sustainable energy and transportation systems
  • A Tutorial on Evolutionary Multiobjective Optimization
    Item type: Book Chapter
    Zitzler, Eckart; Laumanns, Marco; Bleuler, Stefan (2004)
    Lecture Notes in Economics and Mathematical Systems ~ Metaheuristics for multiobjective optimisation
  • A Hypervolume-Based Optimizer for High-Dimensional Objective Spaces
    Item type: Conference Paper
    Bader, Johannes; Zitzler, Eckart (2010)
    Lecture Notes in Economics and Mathematical Systems ~ New Developments in Multiple Objective and Goal Programming
    In the field of evolutionary multiobjective optimization, the hypervolume indicator is the only single set quality measure that is known to be strictly monotonic with regard to Pareto dominance. This property is of high interest and relevance for multiobjective search involving a large number of objective functions. However, the high computational effort required for calculating the indicator values has so far prevented to fully exploit the potential of hypervolume-based multiobjective optimization. This paper addresses this issue and proposes a fast search algorithm that uses Monte Carlo sampling to approximate the exact hypervolume values. In detail, we present HypE (Hypervolume Estimation Algorithm for Multiobjective Optimization), by which the accuracy of the estimates and the available computing resources can be traded off; thereby, not only many-objective problems become feasible with hypervolume-based search, but also the runtime can be flexibly adapted. The experimental results indicate that HypE is highly effective for many-objective problems in comparison to existing multiobjective evolutionary algorithms.
  • From Graph Theory to Models of Economic Networks
    Item type: Conference Paper
    Koenig, Michael D.; Battiston, Stefano (2009)
    Lecture Notes in Economics and Mathematical Systems ~ Networks, topology and dynamics
  • Agents with Heterogeneous Strategies Interacting in a Spatial IPD
    Item type: Book Chapter
    Schweitzer, Frank; Mach, Robert; Mühlenbein, Heinz (2005)
    Lecture Notes in Economics and Mathematical Systems ~ Nonlinear dynamics and heterogenous interacting agents
Publications 1 - 7 of 7