GECCO
2003
Springer
13 years 9 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...
GECCO
2003
Springer
13 years 9 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 ...
GECCO
2003
Springer
13 years 9 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...
GECCO
2003
Springer
13 years 9 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...
GECCO
2003
Springer
13 years 9 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...
GECCO
2003
Springer
13 years 9 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...
GECCO
2003
Springer
13 years 9 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...
GECCO
2003
Springer
13 years 9 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 ...
GECCO
2003
Springer
13 years 9 months ago
2003
Springer
GECCO
2003
Springer
13 years 9 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...