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» An Infrastructure for Adaptive Dynamic Optimization
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CEC
2008
IEEE
15 years 11 months ago
A multi-agent based evolutionary algorithm in non-stationary environments
— In this paper, a multi-agent based evolutionary algorithm (MAEA) is introduced to solve dynamic optimization problems. The agents simulate living organism features and co-evolv...
Yang Yan, Hongfeng Wang, Dingwei Wang, Shengxiang ...
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EVOW
2007
Springer
15 years 11 months ago
An Adaptive Global-Local Memetic Algorithm to Discover Resources in P2P Networks
This paper proposes a neural network based approach for solving the resource discovery problem in Peer to Peer (P2P) networks and an Adaptive Global Local Memetic Algorithm (AGLMA)...
Ferrante Neri, Niko Kotilainen, Mikko Vapa
EVOW
2012
Springer
14 years 17 days ago
Hyperparameter Tuning in Bandit-Based Adaptive Operator Selection
We are using bandit-based adaptive operator selection while autotuning parallel computer programs. The autotuning, which uses evolutionary algorithm-based stochastic sampling, take...
Maciej Pacula, Jason Ansel, Saman P. Amarasinghe, ...
GECCO
2007
Springer
200views Optimization» more  GECCO 2007»
15 years 11 months ago
Adaptive genetic programming for option pricing
Genetic Programming (GP) is an automated computational programming methodology, inspired by the workings of natural evolution techniques. It has been applied to solve complex prob...
Zheng Yin, Anthony Brabazon, Conall O'Sullivan
ICDCSW
2005
IEEE
15 years 10 months ago
QoS Oriented Dynamic Replica Cost Model for P2P Computing
Replication on multiple nodes is an effective way to improve the availability in the P2P or grid environment. It is difficult to determine how many replicas can fulfill the user r...
Feng Mao, Hai Jin, Deqing Zou, Baoli Chen, Li Qi