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GECCO
2000
Springer
122views Optimization» more  GECCO 2000»
15 years 10 months ago
Genetic Programming with Statically Scoped Local Variables
This paper presents an extension to genetic programming to allow the evolution of programs containing local variables with static scope which obey the invariant that all variables...
Evan Kirshenbaum
EVOW
2009
Springer
15 years 4 months ago
Conquering the Needle-in-a-Haystack: How Correlated Input Variables Beneficially Alter the Fitness Landscape for Neural Networks
Abstract. Evolutionary algorithms such as genetic programming and grammatical evolution have been used for simultaneously optimizing network architecture, variable selection, and w...
Stephen D. Turner, Marylyn D. Ritchie, William S. ...
AIR
1998
103views more  AIR 1998»
15 years 6 months ago
Tackling Real-Coded Genetic Algorithms: Operators and Tools for Behavioural Analysis
Abstract. Genetic algorithms play a significant role, as search techniques for handling complex spaces, in many fields such as artificial intelligence, engineering, robotic, etc...
Francisco Herrera, Manuel Lozano, José L. V...
SPAA
1999
ACM
15 years 10 months ago
Time-Constrained Scheduling of Weighted Packets on Trees and Meshes
The time-constrained packet routing problem is to schedule a set of packets to be transmitted through a multinode network, where every packet has a source and a destination (as in ...
Micah Adler, Sanjeev Khanna, Rajmohan Rajaraman, A...
COR
2010
177views more  COR 2010»
15 years 6 months ago
Hybridization of very large neighborhood search for ready-mixed concrete delivery problems
Companies in the concrete industry are facing the following scheduling problem on a daily basis: concrete produced at several plants has to be delivered at customers' constru...
Verena Schmid, Karl F. Doerner, Richard F. Hartl, ...