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GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
13 years 11 months ago
Effects of the use of non-geometric binary crossover on evolutionary multiobjective optimization
In the design of evolutionary multiobjective optimization (EMO) algorithms, it is important to strike a balance between diversity and convergence. Traditional mask-based crossover...
Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto...
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
13 years 11 months ago
Discussion of parallel model of multi-objective genetic algorithms on heterogeneous computational resources
— In this paper, a parallel model of multi-objective genetic algorithm supposing a grid environment is discussed. In this proposed parallel model, we extended master-slave model ...
Tomoyuki Hiroyasu, Kengo Yoshii, Mitsunori Miki
GECCO
2007
Springer
143views Optimization» more  GECCO 2007»
13 years 11 months ago
A self-adaptive multiagent evolutionary algorithm for electrical machine design
Jean-Laurent Hippolyte, Christelle Bloch, Pascal C...
GECCO
2007
Springer
168views Optimization» more  GECCO 2007»
13 years 11 months ago
Analyzing probabilistic models in hierarchical BOA on traps and spin glasses
Mark Hauschild, Martin Pelikan, Cláudio F. ...
GECCO
2007
Springer
168views Optimization» more  GECCO 2007»
13 years 11 months ago
Genetic multi-step search in interpolation and extrapolation domain
The deterministic Multi-step Crossover Fusion (dMSXF) is an improved crossover method of MSXF which is a promising method of JSP, and it shows high availability in TSP. Both of th...
Yoshiko Hanada, Tomoyuki Hiroyasu, Mitsunori Miki
GECCO
2007
Springer
148views Optimization» more  GECCO 2007»
13 years 11 months ago
Exploring the behavior of building blocks for multi-objective variation operator design using predator-prey dynamics
In this paper, we utilize a predator-prey model in order to identify characteristics of single-objective variation operators in the multi-objective problem domain. In detail, we a...
Christian Grimme, Joachim Lepping, Alexander Papas...
GECCO
2007
Springer
153views Optimization» more  GECCO 2007»
13 years 11 months ago
Analyzing the effects of module encapsulation on search space bias
Modularity is thought to improve the evolvability of biological systems [18, 22]. Recent studies in the field of evolutionary computation show that the use of modularity improves...
Ozlem O. Garibay, Annie S. Wu
GECCO
2007
Springer
193views Optimization» more  GECCO 2007»
13 years 11 months ago
Approximating covering problems by randomized search heuristics using multi-objective models
The main aim of randomized search heuristics is to produce good approximations of optimal solutions within a small amount of time. In contrast to numerous experimental results, th...
Tobias Friedrich, Nils Hebbinghaus, Frank Neumann,...
GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
13 years 11 months ago
Methodology to select solutions from the pareto-optimal set: a comparative study
The resolution of a Multi-Objective Optimization Problem (MOOP) does not end when the Pareto-optimal set is found. In real problems, a single solution must be selected. Ideally, t...
José C. Ferreira, Carlos M. Fonseca, Ant&oa...
GECCO
2007
Springer
215views Optimization» more  GECCO 2007»
13 years 11 months ago
Estimating the spectral sensitivity of a digital sensor using calibration targets
A digital sensor which is used inside a digital camera usually responds to a range of wavelengths. The response of the sensor is proportional to the product of the irradiance fall...
Marc Ebner