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» Removing the Genetics from the Standard Genetic Algorithm
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CEC
2007
IEEE
15 years 4 months ago
NEMO: neural enhancement for multiobjective optimization
— In this paper, a neural network approach is presented to expand the Pareto-optimal front for multiobjective optimization problems. The network is trained using results obtained...
Aaron Garrett, Gerry V. Dozier, Kalyanmoy Deb
ISCAS
2007
IEEE
133views Hardware» more  ISCAS 2007»
15 years 4 months ago
GAPSYS: A GA-based Tool for Automated Passive Analog Circuit Synthesis
— This paper presents GAPSYS - a genetic algorithm based automated circuit synthesis tool for passive analog circuits. It describes the procedure for developing both the circuit ...
Angan Das, Ranga Vemuri
ICAPR
2005
Springer
15 years 3 months ago
Discovering Predictive Variables When Evolving Cognitive Models
A non-dominated sorting genetic algorithm is used to evolve models of learning from different theories for multiple tasks. Correlation analysis is performed to identify parameters...
Peter C. R. Lane, Fernand Gobet
PREMI
2005
Springer
15 years 3 months ago
Parallel Island Model for Attribute Reduction
Abstract. We develop a framework for parallel computation of the optimal rough set decision reducts from data. We adapt the island model for evolutionary computing. The idea is to ...
Mohammad M. Rahman, Dominik Slezak, Jakub Wroblews...
GECCO
2004
Springer
211views Optimization» more  GECCO 2004»
15 years 3 months ago
Adaptive and Evolvable Network Services
This paper proposes an evolutionary framework where a network service is created from a group of autonomous agents that interact and evolve. Agents in our framework are capable of ...
Tadashi Nakano, Tatsuya Suda