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» An evolutionary method for complex-process optimization
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102
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ICML
2009
IEEE
15 years 7 months ago
Fast evolutionary maximum margin clustering
The maximum margin clustering approach is a recently proposed extension of the concept of support vector machines to the clustering problem. Briefly stated, it aims at finding a...
Fabian Gieseke, Tapio Pahikkala, Oliver Kramer
93
Voted
CEC
2008
IEEE
15 years 7 months ago
Divide and conquer evolutionary TSP solution for vehicle path planning
— The problem of robotic area coverage is applicable to many domains, such as search, agriculture, cleaning, and machine tooling. The robotic area coverage task is concerned with...
Ryan J. Meuth, Donald C. Wunsch
86
Voted
GECCO
2006
Springer
145views Optimization» more  GECCO 2006»
15 years 4 months ago
Immune anomaly detection enhanced with evolutionary paradigms
The paper presents an approach based on principles of immune systems to the anomaly detection problem. Flexibility and efficiency of the anomaly detection system are achieved by b...
Marek Ostaszewski, Franciszek Seredynski, Pascal B...
GECCO
2008
Springer
143views Optimization» more  GECCO 2008»
15 years 1 months ago
A parallel evolutionary algorithm for unconstrained binary quadratic problems
In this paper an island model is described for the unconstrained Binary Quadratic Problem (BQP), which can be used with up to 2500 binary variables. Our island model uses a master...
István Borgulya
111
Voted
GECCO
2010
Springer
153views Optimization» more  GECCO 2010»
15 years 3 months ago
Multi-task evolutionary shaping without pre-specified representations
Shaping functions can be used in multi-task reinforcement learning (RL) to incorporate knowledge from previously experienced tasks to speed up learning on a new task. So far, rese...
Matthijs Snel, Shimon Whiteson