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GECCO
2006
Springer
181views Optimization» more  GECCO 2006»
13 years 11 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...
DSD
2003
IEEE
108views Hardware» more  DSD 2003»
14 years 1 months ago
Concurrent Operation Scheduling and Unit Allocation with an Evolutionary Technique
This paper presents a method with an evolutionary approach to some of the tasks of integrated-circuit (IC) design. The work is focused on application-specific integrated circuits ...
Gregor Papa, Jurij Silc
EC
2000
187views ECommerce» more  EC 2000»
13 years 7 months ago
Comparison of Multiobjective Evolutionary Algorithms: Empirical Results
In this paper, we provide a systematic comparison of various evolutionary approaches to multiobjective optimization using six carefully chosen test functions. Each test function i...
Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele
SEAL
1998
Springer
14 years 5 days ago
Robust Evolution Strategies
This paper empirically investigates the use and behaviour of Evolution Strategies (ES) algorithms on problems such as function optimisation and the use of evolutionary artificial ...
Kazuhiro Ohkura, Yoshiyuki Matsumura, Kanji Ueda
EC
2008
164views ECommerce» more  EC 2008»
13 years 8 months ago
Tracking Moving Optima Using Kalman-Based Predictions
The dynamic optimization problem concerns finding an optimum in a changing environment. In the field of evolutionary algorithms, this implies dealing with a timechanging fitness l...
Claudio Rossi, Mohamed Abderrahim, Julio Cé...