721 search results - page 105 / 145 » Genetic State-Space Search for Constrained Optimization Prob... |
GECCO
2007
Springer
14 years 3 months ago
2007
Springer
A new family of "Distribution Replacement” operators for use in steady state genetic algorithms is presented. Distribution replacement enforces the members of the populatio...
GECCO
2006
Springer
14 years 19 days ago
2006
Springer
Genetic Parallel Programming (GPP) is a novel Genetic Programming paradigm. Based on the GPP paradigm and a local search operator - FlowMap, a logic circuit synthesizing system in...
GECCO
2010
Springer
13 years 9 months ago
2010
Springer
This paper takes an economic approach to derive an evolutionary learning model based entirely on the endogenous employment of genetic operators in the service of self-interested a...
GECCO
2010
Springer
14 years 1 months ago
2010
Springer
Crowding is a technique used in genetic algorithms to preserve diversity in the population and to prevent premature convergence to local optima. It consists of pairing each offsp...
GECCO
2006
Springer
14 years 19 days ago
2006
Springer
We present an evolutionary methodology that explores the evolution of network topology when a uniform growth of the network traffic is considered. The network redesign problem is ...