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GECCO
2010
Springer
154views Optimization» more  GECCO 2010»
15 years 8 months ago
Evolutionary learning in networked multi-agent organizations
This study proposes a simple computational model of evolutionary learning in organizations informed by genetic algorithms. Agents who interact only with neighboring partners seek ...
Jae-Woo Kim
GECCO
2006
Springer
138views Optimization» more  GECCO 2006»
15 years 7 months ago
Does overfitting affect performance in estimation of distribution algorithms
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
Hao Wu, Jonathan L. Shapiro
PLDI
2010
ACM
16 years 1 months ago
The Reachability-Bound Problem
We define the reachability-bound problem to be the problem of finding a symbolic worst-case bound on the number of times a given control location inside a procedure is visited in ...
Sumit Gulwani, Florian Zuleger
RTSS
2008
IEEE
15 years 10 months ago
Fast Sensor Placement Algorithms for Fusion-Based Target Detection
Mission-critical target detection imposes stringent performance requirements for wireless sensor networks, such as high detection probabilities and low false alarm rates. Data fus...
Zhaohui Yuan, Rui Tan, Guoliang Xing, Chenyang Lu,...
HAIS
2009
Springer
15 years 8 months ago
Economic Load Dispatch Using a Chemotactic Differential Evolution Algorithm
This paper presents a novel stochastic optimization approach to solve constrained economic load dispatch (ELD) problem using Hybrid Bacterial Foraging-Differential Evolution optimi...
Arijit Biswas, Sambarta Dasgupta, Bijaya K. Panigr...