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» Adapting binary fitness functions in Genetic Algorithms
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CORR
2006
Springer
153views Education» more  CORR 2006»
14 years 12 months ago
Genetic Programming, Validation Sets, and Parsimony Pressure
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...
Christian Gagné, Marc Schoenauer, Marc Pari...
GECCO
2010
Springer
174views Optimization» more  GECCO 2010»
15 years 3 months ago
Real-coded genetic algorithm benchmarked on noiseless black-box optimization testbed
Genetic algorithms—a class of stochastic population-based optimization techniques—have been widely realized as the effective tools to solve complicated optimization problems ...
Thanh-Do Tran, Gang-Gyoo Jin
CN
2007
221views more  CN 2007»
14 years 11 months ago
Adaptive design optimization of wireless sensor networks using genetic algorithms
We present a multi-objective optimization methodology for self-organizing, adaptive wireless sensor network design and energy management, taking into consideration application-spe...
Konstantinos P. Ferentinos, Theodore A. Tsiligirid...
MICRO
1990
IEEE
147views Hardware» more  MICRO 1990»
15 years 3 months ago
Motivation and framework for using genetic algorithms for microcode compaction
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...
Steven J. Beaty, Darrell Whitley, Gearold Johnson
CORR
2010
Springer
53views Education» more  CORR 2010»
14 years 12 months ago
Phase-Only Planar Antenna Array Synthesis with Fuzzy Genetic Algorithms
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...
Boufeldja Kadri, Miloud Boussahla, Fethi Tarik Ben...