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» Solving Demodulation as an Optimization Problem
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116
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CEC
2009
IEEE
15 years 10 months ago
Parameter control in Differential Evolution for constrained optimization
In this Chapter we present the modification of a Differential Evolution algorithm to solve constrained optimization problems. The changes include a deterministic and a self-adapti...
Efrén Mezura-Montes, A. G. Palomeque-Ortiz
111
Voted
GECCO
2009
Springer
200views Optimization» more  GECCO 2009»
15 years 10 months ago
Optimization of the trading rule in foreign exchange using genetic algorithm
The generation of profitable trading rules for Foreign Exchange (FX) investments is a difficult but popular problem. The use of Machine Learning in this problem allows us to obtai...
Akinori Hirabayashi, Claus de Castro Aranha, Hitos...
139
Voted
IAT
2005
IEEE
15 years 9 months ago
An Approximate Pareto Optimal Cooperative Negotiation Model for Multiple
Cooperative negotiation is proved to be an effective paradigm to solve complex dynamic multi-objective problems in which each objective is associated to an agent. When the multi-o...
Nicola Gatti, Francesco Amigoni
113
Voted
ECAI
2006
Springer
15 years 7 months ago
Random Subset Optimization
Some of the most successful algorithms for satisfiability, such as Walksat, are based on random walks. Similarly, local search algorithms for solving constraint optimization proble...
Boi Faltings, Quang Huy Nguyen
WCE
2007
15 years 4 months ago
Neural Networks for Optimal Control of Aircraft Landing Systems
Abstract—In this work we present a variational formulation for a multilayer perceptron neural network. With this formulation any learning task for the neural network is defined ...
Kevin Lau, Roberto Lopez, Eugenio Oñate