160
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GECCO
2003
Springer
15 years 11 months ago
2003
Springer
Abstract. We revisit a class of multimodal function optimizations using evolutionary algorithms reformulated into a multiobjective framework where previous implementations have nee...
143
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GECCO
2003
Springer
15 years 11 months ago
2003
Springer
Abstract. To improve the efficiency of the currently known evolutionary algorithms, we have proposed two complementary efficiency speed-up strategies in our previous research work ...
153
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GECCO
2003
Springer
15 years 11 months ago
2003
Springer
In this paper, we revisit a general class of multi-criteria multi-constrained network design problems and attempt to solve, in a novel way, with Evolutionary Algorithms (EAs). A ma...
156
click to vote
GECCO
2003
Springer
15 years 11 months ago
2003
Springer
In this paper, a novel genetically-inspired visual learning method is proposed. Given the training images, this general approach induces a sophisticated feature-based recognition s...
175
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GECCO
2003
Springer
15 years 11 months ago
2003
Springer
Intermediate measurements in quantum circuits compare to conditional branchings in programming languages. Due to this, quantum circuits have a natural linear-tree structure. In thi...
162
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GECCO
2003
Springer
15 years 11 months ago
2003
Springer
In this paper, a two-phase evolutionary optimization scheme is proposed for obtaining optimal structure of fuzzy control rules and their associated weights, using evolutionary prog...
174
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GECCO
2003
Springer
15 years 11 months ago
2003
Springer
The rapid advances of genome-scale sequencing have brought out the necessity of developing new data processing techniques for enormous genomic data. Microarrays, for example, can g...
152
click to vote
GECCO
2003
Springer
15 years 11 months ago
2003
Springer
This paper presents simulations of long-term competition for light between two plant species, oaks and beeches. These artificial plants, evolving in a 3D environment, are based on ...
148
click to vote
GECCO
2003
Springer
15 years 11 months ago
2003
Springer
In a two-market genetic algorithm applied to a constrained optimization problem, two ‘markets’ are maintained. One market establishes fitness in terms of the objective functio...