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PPSN
2004
Springer
15 years 4 months ago
SPEA2+: Improving the Performance of the Strength Pareto Evolutionary Algorithm 2
Multi-objective optimization methods are essential to resolve real-world problems as most involve several types of objects. Several multi-objective genetic algorithms have been pro...
Mifa Kim, Tomoyuki Hiroyasu, Mitsunori Miki, Shiny...
GECCO
2006
Springer
181views Optimization» more  GECCO 2006»
15 years 2 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...
CEC
2008
IEEE
15 years 5 months ago
Analysis of population-based evolutionary algorithms for the vertex cover problem
— Recently it has been proved that the (1+1)-EA produces poor worst-case approximations for the vertex cover problem. In this paper the result is extended to the (1+λ)-EA by pro...
Pietro Simone Oliveto, Jun He, Xin Yao
104
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GECCO
2005
Springer
190views Optimization» more  GECCO 2005»
15 years 4 months ago
An efficient evolutionary algorithm applied to the design of two-dimensional IIR filters
This paper presents an efficient technique of designing twodimensional IIR digital filters using a new algorithm involving the tightly coupled synergism of particle swarm optimiza...
Swagatam Das, Amit Konar, Uday Kumar Chakraborty
GECCO
2006
Springer
174views Optimization» more  GECCO 2006»
15 years 2 months ago
Optimizing of NC tool paths for five-axis milling using evolutionary algorithms on wavelets
Computer aided NC-path generation of five-axis milling using a standard CAM-system does usually not take machine dynamics and kinematics into account. This results in machine move...
Klaus Weinert, Andreas Zabel, Heinrich Müller...