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» Adapting binary fitness functions in Genetic Algorithms
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GECCO
2006
Springer
135views Optimization» more  GECCO 2006»
15 years 1 months ago
Single and multi-objective genetic operators in object-oriented conceptual software design
This poster paper investigates the potential of single and multiobjective genetic operators with an object-oriented conceptual design space. Using cohesion as an objective fitness...
Christopher L. Simons, Ian C. Parmee
GECCO
2007
Springer
167views Optimization» more  GECCO 2007»
15 years 3 months ago
An improved restricted growth function genetic algorithm for the consensus clustering of retinal nerve fibre data
This paper describes an extension to the Restricted Growth Function grouping Genetic Algorithm applied to the Consensus Clustering of a retinal nerve fibre layer data-set. Consens...
Stephen Swift, Allan Tucker, Jason Crampton, David...
ICML
1994
IEEE
15 years 1 months ago
Hierarchical Self-Organization in Genetic programming
This paper presents an approach to automatic discovery of functions in Genetic Programming. The approach is based on discovery of useful building blocks by analyzing the evolution...
Justinian P. Rosca, Dana H. Ballard
ITIIS
2010
186views more  ITIIS 2010»
14 years 4 months ago
Adaptive Binary Negative-Exponential Backoff Algorithm Based on Contention Window Optimization in IEEE 802.11 WLAN
IEEE 802.11 medium access control (MAC) employs the distributed coordination function (DCF) as the fundamental medium access function. DCF operates with binary exponential backoff...
Bum-Gon Choi, Ju Yong Lee, Min Young Chung
ICGA
1997
134views Optimization» more  ICGA 1997»
14 years 11 months ago
Local Search Genetic Algorithm for Optimization of Highly Reliable Communications Networks
This paper presents a genetic algorithm (GA) with specialized encoding, initialization and local search genetic operators to optimize communication network topologies. This NPhard...
Berna Dengiz, Fulya Altiparmak, Alice E. Smith