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AAAI
2000
15 years 8 months ago
Depth-First Branch-and-Bound versus Local Search: A Case Study
Depth-first branch-and-bound (DFBnB) is a complete algorithm that is typically used to find optimal solutions of difficult combinatorial optimization problems. It can also be adap...
Weixiong Zhang
ICGA
1993
145views Optimization» more  ICGA 1993»
15 years 8 months ago
Genetic Programming of Minimal Neural Nets Using Occam's Razor
A genetic programming method is investigated for optimizing both the architecture and the connection weights of multilayer feedforward neural networks. The genotype of each networ...
Byoung-Tak Zhang, Heinz Mühlenbein
GECCO
2008
Springer
127views Optimization» more  GECCO 2008»
15 years 7 months ago
Denial of service detection and analysis using idiotypic networks paradigm
In this paper we present a novel intrusion detection architecture based on Idiotypic Network Theory (INIDS), that aims at dealing with large scale network attacks featuring variab...
Marek Ostaszewski, Pascal Bouvry, Franciszek Sered...
GECCO
2008
Springer
250views Optimization» more  GECCO 2008»
15 years 7 months ago
Community detection in social networks with genetic algorithms
A new genetic algorithm to detect communities in social networks is presented. The algorithm uses a fitness function able to identify groups of nodes in the network having dense ...
Clara Pizzuti
GECCO
2008
Springer
143views Optimization» more  GECCO 2008»
15 years 7 months ago
Collective intelligence and bush fire spotting
Bush fires cause major damage each year in many areas of the world and the earlier that they can be detected the easier it is to minimize this damage. This paper describes a coll...
David Howden, Tim Hendtlass