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CEC
2008
IEEE
15 years 6 months ago
Auto-tuning fuzzy granulation for evolutionary optimization
—Much of the computational complexity in employing evolutionary algorithms as optimization tool is due to the fitness function evaluation that may either not exist or be computat...
Mohsen Davarynejad, Mohammad R. Akbarzadeh-Totonch...
EVOW
2007
Springer
15 years 6 months ago
Genetic Representations for Evolutionary Minimization of Network Coding Resources
Abstract. We demonstrate how a genetic algorithm solves the problem of minimizing the resources used for network coding, subject to a throughput constraint, in a multicast scenario...
Minkyu Kim, Varun Aggarwal, Una-May O'Reilly, Muri...
GECCO
2007
Springer
166views Optimization» more  GECCO 2007»
15 years 3 months ago
Crossover: the divine afflatus in search
The traditional GA theory is pillared on the Building Block Hypothesis (BBH) which states that Genetic Algorithms (GAs) work by discovering, emphasizing and recombining low order ...
David Iclanzan
GECCO
2011
Springer
240views Optimization» more  GECCO 2011»
14 years 3 months ago
Collisions are helpful for computing unique input-output sequences
Computing unique input-output sequences (UIOs) from finite state machines (FSMs) is important for conformance testing in software engineering, where evolutionary algorithms (EAs)...
Chao Qian, Yang Yu, Zhi-Hua Zhou
92
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AAAI
2011
13 years 11 months ago
The Steiner Multigraph Problem: Wildlife Corridor Design for Multiple Species
The conservation of wildlife corridors between existing habitat preserves is important for combating the effects of habitat loss and fragmentation facing species of concern. We in...
Katherine J. Lai, Carla P. Gomes, Michael K. Schwa...