GECCO
2007
Springer
14 years 6 months ago
2007
Springer
With resemblance of finite-state machines to some biological mechanisms in cells and numerous applications of finite automata in different fields, this paper uses analogies an...
GECCO
2007
Springer
14 years 6 months ago
2007
Springer
Automated event extraction remains a very difficult challenge requiring information analysts to manually identify key events of interest within massive, dynamic data. Many techniq...
GECCO
2007
Springer
14 years 6 months ago
2007
Springer
Multiobjective evolutionary algorithms (MOEA) are an effective tool for solving search and optimization problems containing several incommensurable and possibly conflicting objec...
GECCO
2007
Springer
14 years 6 months ago
2007
Springer
In the longest common subsequence problem the task is to find the longest sequence of letters that can be found as subsequence in all members of a given finite set of sequences....
GECCO
2007
Springer
14 years 6 months ago
2007
Springer
Speciation is an important concept in evolutionary computation. It refers to an enhancements of evolutionary algorithms to generate a set of diverse solutions. The concept is stud...
INFOCOM
2007
IEEE
14 years 6 months ago
2007
IEEE
Abstract— We consider the problem of minimizing the resources used for network coding while achieving the desired throughput in a multicast scenario. Since this problem is NPhard...
CEC
2007
IEEE
14 years 6 months ago
2007
IEEE
— Within the present paper, we put forward a novel hybridization between support vector machines and evolutionary algorithms. Evolutionary support vector machines consider the cl...
CEC
2007
IEEE
14 years 6 months ago
2007
IEEE
Abstract—Motivated by neutrality observed in natural evolution often redundant encodings are used in evolutionary algorithms. Many experimental studies have been carried out on t...
GECCO
2009
Springer
14 years 6 months ago
2009
Springer
Evolutionary Computation is an exciting research field with the power to assist researchers in the task of solving hard optimization problems (i.e., problems where the exploitabl...
CEC
2009
IEEE
14 years 6 months ago
2009
IEEE
Abstract— Tuning the parameters of an evolutionary algorithm (EA) to a given problem at hand is essential for good algorithm performance. Optimizing parameter values is, however,...