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» Solving Mastermind Using Genetic Algorithms
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GECCO
2005
Springer
178views Optimization» more  GECCO 2005»
15 years 10 months ago
A co-evolutionary hybrid algorithm for multi-objective optimization of gene regulatory network models
In this paper, the parameters of a genetic network for rice flowering time control have been estimated using a multiobjective genetic algorithm approach. We have modified the rece...
Praveen Koduru, Sanjoy Das, Stephen Welch, Judith ...
EVOW
2010
Springer
15 years 9 months ago
A Genetic Algorithm to Minimize Chromatic Entropy
We present an algorithmic approach to solving the problem of chromatic entropy, a combinatorial optimization problem related to graph coloring. This problem is a component in algor...
Greg Durrett, Muriel Médard, Una-May O'Reil...
GECCO
2006
Springer
185views Optimization» more  GECCO 2006»
15 years 8 months ago
Robot gaits evolved by combining genetic algorithms and binary hill climbing
In this paper an evolutionary algorithm is used for evolving gaits in a walking biped robot controller. The focus is fast learning in a real-time environment. An incremental appro...
Lena Mariann Garder, Mats Erling Høvin
GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
15 years 8 months ago
A comparative study of evolutionary optimization techniques in dynamic environments
Genetic Algorithms have widely been used for solving optimization problems in stationary environments. In recent years, there has been a growing interest for investigating and imp...
Demet Ayvaz, Haluk Topcuoglu, Fikret S. Gürge...
FUZZIEEE
2007
IEEE
15 years 10 months ago
Nonlinear Classification by Genetic Algorithm with Signed Fuzzy Measure
—In this paper, we propose a new nonlinear classier based on a generalized Choquet integral with signed fuzzy measures to enhance the classification power by capturing all possib...
Honggang Wang, Hua Fang, Hamid Sharif, Zhenyuan Wa...