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TNN
1998
76views more  TNN 1998»
14 years 9 months ago
Multiobjective genetic algorithm partitioning for hierarchical learning of high-dimensional pattern spaces: a learning-follows-d
— In this paper, we present a novel approach to partitioning pattern spaces using a multiobjective genetic algorithm for identifying (near-)optimal subspaces for hierarchical lea...
Rajeev Kumar, Peter Rockett
ICCCI
2009
Springer
14 years 7 months ago
Firefly Algorithm for Continuous Constrained Optimization Tasks
Abstract. The paper provides an insight into the improved novel metaheuristics of the Firefly Algorithm for constrained continuous optimization tasks. The presented technique is in...
Szymon Lukasik, Slawomir Zak
CORR
2007
Springer
76views Education» more  CORR 2007»
14 years 9 months ago
Power Optimal Scheduling for Guaranteed Throughput in Multi-access Fading Channels
Abstract— A power optimal scheduling algorithm that guarantees desired throughput and bounded delay to each user is developed for fading multi-access multi-band channels that can...
Prasanna Chaporkar, Kimmo Kansanen, Ralf R. Mü...
EUSFLAT
2007
126views Fuzzy Logic» more  EUSFLAT 2007»
14 years 11 months ago
Selecting the Optimal Rule Set Using a Bacterial Evolutionary Algorithm
In many regression learning algorithms for fuzzy rule bases it is not possible to define the error measure to be optimized freely. A possible alternative is the usage of global o...
Mario Drobics, János Botzheim, Klaus-Peter ...
IJCNN
2007
IEEE
15 years 3 months ago
Encoding Complete Body Models Enables Task Dependent Optimal Behavior
— Many neural network models of (human) motor learning focus on the acquisition of direct goal-to-action mappings, which results in rather inflexible motor control programs. We ...
Oliver Herbort, Martin V. Butz