332 search results - page 23 / 67 » Adapting binary fitness functions in Genetic Algorithms |
109
click to vote
CORR
2006
Springer
14 years 9 months ago
2006
Springer
Fitness functions based on test cases are very common in Genetic Programming (GP). This process can be assimilated to a learning task, with the inference of models from a limited n...
67
Voted
GECCO
2010
Springer
15 years 1 months ago
2010
Springer
Genetic algorithms—a class of stochastic population-based optimization techniques—have been widely realized as the effective tools to solve complicated optimization problems ...
CN
2007
14 years 9 months ago
2007
We present a multi-objective optimization methodology for self-organizing, adaptive wireless sensor network design and energy management, taking into consideration application-spe...
78
Voted
MICRO
1990
IEEE
15 years 1 months ago
1990
IEEE
Genetic algorithms are a robust adaptive optimization technique based on a biological paradigm. They perform efficient search on poorly-defined spaces by maintaining an ordered po...
53
Voted
CORR
2010
Springer
14 years 9 months ago
2010
Springer
This paper describes a new method for the synthesis of planar antenna arrays using fuzzy genetic algorithms (FGAs) by optimizing phase excitation coefficients to best meet a desir...