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» Techniques for Optimization of Net Algorithms
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GECCO
2008
Springer
135views Optimization» more  GECCO 2008»
15 years 4 months ago
iBOA: the incremental bayesian optimization algorithm
This paper proposes the incremental Bayesian optimization algorithm (iBOA), which modifies standard BOA by removing the population of solutions and using incremental updates of t...
Martin Pelikan, Kumara Sastry, David E. Goldberg
97
Voted
CORR
2010
Springer
139views Education» more  CORR 2010»
15 years 3 months ago
Algorithmic Solutions for Several Offline Constrained Resource Processing and Data Transfer Multicriteria Optimization Problems
In this paper we present novel algorithmic solutions for several resource processing and data transfer multicriteria optimization problems. The results of most of the presented tec...
Mugurel Ionut Andreica, Nicolae Tapus
110
Voted
CEC
2009
IEEE
15 years 10 months ago
A micro-bacterial foraging algorithm for high-dimensional optimization
- Very recently bacterial foraging has emerged as a powerful technique for solving optimization problems. In this paper, we introduce a micro-bacterial foraging optimization algori...
Sambarta Dasgupta, Arijit Biswas, Swagatam Das, Bi...
GECCO
2010
Springer
168views Optimization» more  GECCO 2010»
15 years 8 months ago
Investigating whether hyperNEAT produces modular neural networks
HyperNEAT represents a class of neuroevolutionary algorithms that captures some of the power of natural development with a ionally efficient high-level abstraction of development....
Jeff Clune, Benjamin E. Beckmann, Philip K. McKinl...
148
Voted
PPSN
1998
Springer
15 years 7 months ago
A Decoder-Based Evolutionary Algorithm for Constrained Parameter Optimization Problems
Several methods have been proposed for handling nonlinear constraints by evolutionary algorithms for numerical optimization problems; a survey paper [7] provides an overview of var...
Slawomir Koziel, Zbigniew Michalewicz