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GECCO
2006
Springer
181views Optimization» more  GECCO 2006»
15 years 10 months ago
Designing safe, profitable automated stock trading agents using evolutionary algorithms
Trading rules are widely used by practitioners as an effective means to mechanize aspects of their reasoning about stock price trends. However, due to the simplicity of these rule...
Harish Subramanian, Subramanian Ramamoorthy, Peter...
GECCO
2000
Springer
143views Optimization» more  GECCO 2000»
15 years 10 months ago
A Genetic Algorithm for Automatically Designing Modular Reinforcement Learning Agents
Reinforcement learning (RL) is one of the machine learning techniques and has been received much attention as a new self-adaptive controller for various systems. The RL agent auto...
Isao Ono, Tetsuo Nijo, Norihiko Ono
IJCAI
2001
15 years 8 months ago
Bundle Design in Robust Combinatorial Auction Protocol against False-name Bids
This paper presents a method for designing bundles in a combinatorial auction protocol that is robust against false-name bids. Internet auctions have become an integral part of El...
Makoto Yokoo, Yuko Sakurai, Shigeo Matsubara
GECCO
2008
Springer
139views Optimization» more  GECCO 2008»
15 years 7 months ago
Evolutionary design of dynamic SwarmScapes
This paper discusses interactive evolutionary algorithms and their application in swarm-based image generation. From an artist’s perspective, the computer-generated patterns oï¬...
Namrata Khemka, Scott Novakowski, Gerald Hushlak, ...
ENGL
2008
130views more  ENGL 2008»
15 years 6 months ago
Design Factors on Dynamic Text Display
Electronic information display systems are widely used in public places. The increase in use of light-emitting diodes (LED) display arouses our interest in the effective methods of...
Joey C. Y. So, Alan H. S. Chan