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GECCO
2006
Springer
181views Optimization» more  GECCO 2006»
15 years 1 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...
ISCAS
2005
IEEE
179views Hardware» more  ISCAS 2005»
15 years 3 months ago
Robust stabilization of control systems using piecewise linear Lyapunov functions and evolutionary algorithm
— Piecewise linear Lyapunov functions are used to design control gain matrices so that closed systems are robust stable and attractive regions are expanded as large as possible i...
K. Tagawa, Y. Ohta
CEC
2007
IEEE
15 years 4 months ago
Computational intelligence algorithms for risk-adjusted trading strategies
Abstract— This paper investigates the performance of trading strategies identified through Computational Intelligence techniques. We focus on trading rules derived by Genetic Pr...
Nicos G. Pavlidis, E. G. Pavlidis, Michael G. Epit...
TEC
2008
93views more  TEC 2008»
14 years 10 months ago
The Self-Organization of Interaction Networks for Nature-Inspired Optimization
Over the last decade, significant progress has been made in understanding complex biological systems, however there have been few attempts at incorporating this knowledge into natu...
James M. Whitacre, Ruhul A. Sarker, Q. Tuan Pham
ICTAI
2009
IEEE
15 years 4 months ago
A Multi-objective Genetic Algorithm for Community Detection in Networks
A multiobjective genetic algorithm to uncover community structure in complex network is proposed. The algorithm optimizes two objective functions able to identify densely connecte...
Clara Pizzuti