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142
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CA
1999
IEEE
15 years 8 months ago
Collaborative Animation over the Network
The continuously increasing complexity of computer animationsmakes it necessary to rely on the knowledge of various experts to cover the different areas of computer graphics and a...
François Faure, Chris Faisstnauer, Gerd Hes...
GECCO
2009
Springer
121views Optimization» more  GECCO 2009»
15 years 8 months ago
Using memetic algorithms to improve portfolio performance in static and dynamic trading scenarios
The Portfolio Optimization problem consists of the selection of a group of assets to a long-term fund in order to minimize the risk and maximize the return of the investment. This...
Claus de Castro Aranha, Hitoshi Iba
107
Voted
IJCAI
1993
15 years 5 months ago
Evolutionary Learning Strategy using Bug-Based Search
We introduce a new approach to GA (Genetic Algorithms) based problem solving. Earlier GAs did not contain local search (i.e. hill climbing) mechanisms, which led to optimization d...
Hitoshi Iba, Tetsuya Higuchi, Hugo de Garis, Taisu...
119
Voted
GECCO
2004
Springer
127views Optimization» more  GECCO 2004»
15 years 9 months ago
Computational Complexity and Simulation of Rare Events of Ising Spin Glasses
We discuss the computational complexity of random 2D Ising spin glasses, which represent an interesting class of constraint satisfaction problems for black box optimization. Two ex...
Martin Pelikan, Jiri Ocenasek, Simon Trebst, Matth...
127
Voted
GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
15 years 7 months ago
Combining genetic algorithms with squeaky-wheel optimization
The AI optimization algorithm called "Squeaky-Wheel Optimization" (SWO) has proven very effective in a variety of real-world applications. Although the ideas behind SWO ...
Justin Terada, Hoa Vo, David Joslin