894 search results - page 100 / 179 » Parameter-less evolutionary search |
GECCO
2006
Springer
15 years 5 months ago
2006
Springer
Evolutionary algorithms tend to produce solutions that are not evolvable: Although current fitness may be high, further search is impeded as the effects of mutation and crossover ...
105
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GECCO
2006
Springer
15 years 5 months ago
2006
Springer
The AI optimization algorithm called "Squeaky-Wheel Optimization" (SWO) has proven very effective in a variety of real-world applications. Although the ideas behind SWO ...
EC
2002
15 years 1 months ago
2002
In this paper, we develop techniques based on evolvability statistics of the fitness landscape surrounding sampled solutions. Averaging the measures over a sample of equal fitness...
132
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EH
1999
IEEE
15 years 5 months ago
1999
IEEE
A system for exploring intrinsic evolution of linear and non-linear filter systems is described. It consists of a testbed topology of operational amplifiers and linear or non-line...
139
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ANTSW
2008
Springer
15 years 3 months ago
2008
Springer
An adaptive particle swarm optimization (APSO) that features better search efficiency than classical particle swarm optimization (PSO) is presented. More importantly, it can perfor...