57 search results - page 9 / 12 » Differential Evolution versus Genetic Algorithms in Multiobj... |
141
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ISDA
2008
IEEE
15 years 9 months ago
2008
IEEE
This paper presents a comparative study of three popular, Evolutionary Algorithms (EA); Genetic Algorithms (GA), Particle Swarm Optimization (PSO) and Differential Evolution (DE) ...
101
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GECCO
2008
Springer
15 years 4 months ago
2008
Springer
Multiobjective methods are ideal for evolving a set of portfolio optimisation solutions that span a range from highreturn/high-risk to low-return/low-risk, and an investor can cho...
GECCO
2008
Springer
15 years 4 months ago
2008
Springer
This paper proposes a new algorithm which promotes well distributed non-dominated fronts in the parameters space when a single-objective function is optimized. This algorithm is b...
138
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GECCO
2004
Springer
15 years 8 months ago
2004
Springer
Hybrid algorithms that combine genetic algorithms with the Nelder-Mead simplex algorithm have been effective in solving certain optimization problems. In this article, we apply a s...
152
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ASC
2011
14 years 10 months ago
2011
In this work, a novel optimization framework is proposed that allows the improvement of Quality of Service levels in TCP/IP based networks, by configuring the routing weights of ...