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AUSAI
2005
Springer
16 years 3 days ago
A Lagrangian Heuristic for Winner Determination Problem in Combinatorial Auctions
Abstract. We present a Lagrangian-based heuristic LAHA for the Winner Determination Problem in Combinatorial Auctions. The algorithm makes use of the market computing power by appl...
Andrew Lim, Jiqing Tang
GECCO
2005
Springer
126views Optimization» more  GECCO 2005»
16 years 2 days ago
Not all linear functions are equally difficult for the compact genetic algorithm
Estimation of distribution algorithms (EDAs) try to solve an optimization problem by finding a probability distribution focussed around its optima. For this purpose they conduct ...
Stefan Droste
GECCO
2005
Springer
113views Optimization» more  GECCO 2005»
16 years 2 days ago
Healthy daily meal planner
The purpose of this project is to develop a program that solves a bi-objective diet problem to propose the user a “healthy” daily meal according to some parameters specified b...
Aynur Kahraman, H. Aydolu Seven
GECCO
2005
Springer
152views Optimization» more  GECCO 2005»
16 years 2 days ago
GAMM: genetic algorithms with meta-models for vision
Recent adaptive image interpretation systems can reach optimal performance for a given domain via machine learning, without human intervention. The policies are learned over an ex...
Greg Lee, Vadim Bulitko
GECCO
2005
Springer
154views Optimization» more  GECCO 2005»
16 years 2 days ago
The molecule evoluator: an interactive evolutionary algorithm for designing drug molecules
To help chemists design new drugs, we created a tool that uses interactive evolution to design drug molecules, the “Molecule Evoluator”. In contrast to most other evolutionary...
Eric-Wubbo Lameijer, Adriaan P. IJzerman, Joost N....