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GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
13 years 12 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
CEC
2005
IEEE
13 years 11 months ago
Theoretical comparisons of search dynamics of genetic algorithms and evolution strategies
Genetic algorithms (GAs) and evolution strategies (ESs) are two widely used evolutionary algorithms. The main differences between GAs and ESs lie in their representations and varia...
Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff
GECCO
2009
Springer
147views Optimization» more  GECCO 2009»
14 years 11 days ago
Evolutionary algorithms and multi-objectivization for the travelling salesman problem
This paper studies the multi-objectivization of single-objective optimization problems (SOOP) using evolutionary multi-objective algorithms (EMOAs). In contrast to the single-obje...
Martin Jähne, Xiaodong Li, Jürgen Branke
GECCO
2005
Springer
144views Optimization» more  GECCO 2005»
13 years 11 months ago
Multiobjective hBOA, clustering, and scalability
This paper describes a scalable algorithm for solving multiobjective decomposable problems by combining the hierarchical Bayesian optimization algorithm (hBOA) with the nondominat...
Martin Pelikan, Kumara Sastry, David E. Goldberg
GECCO
2007
Springer
180views Optimization» more  GECCO 2007»
13 years 12 months ago
Genetic optimization for yacht design
This paper introduces a procedure for using genetic multiobjective optimization in yacht design. The problem described consists on the optimization of a bulb shape to improve the ...
Paolo Geremia, Mauro Poian, Silvia Poles