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» Evolutionary multiobjective optimization
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EVOW
2000
Springer
15 years 5 months ago
An Ant Algorithm with a New Pheromone Evaluation Rule for Total Tardiness Problems
Ant Colony Optimization is an evolutionary method that has recently been applied to scheduling problems. We propose an ACO algorithm for the Single Machine Total Weighted Tardiness...
Daniel Merkle, Martin Middendorf
NIPS
2001
15 years 3 months ago
Matching Free Trees with Replicator Equations
Motivated by our recent work on rooted tree matching, in this paper we provide a solution to the problem of matching two free (i.e., unrooted) trees by constructing an association...
Marcello Pelillo
CORR
2002
Springer
100views Education» more  CORR 2002»
15 years 1 months ago
A neural model for multi-expert architectures
We present a generalization of conventional artificial neural networks that allows for a functional equivalence to multi-expert systems. The new model provides an architectural fr...
Marc Toussaint
129
Voted
GECCO
2007
Springer
151views Optimization» more  GECCO 2007»
15 years 7 months ago
Solving real-valued optimisation problems using cartesian genetic programming
Classical Evolutionary Programming (CEP) and Fast Evolutionary Programming (FEP) have been applied to realvalued function optimisation. Both of these techniques directly evolve th...
James Alfred Walker, Julian Francis Miller
GECCO
2004
Springer
155views Optimization» more  GECCO 2004»
15 years 7 months ago
Genetic Network Programming with Reinforcement Learning and Its Performance Evaluation
A new graph-based evolutionary algorithm named “Genetic Network Programming, GNP” has been proposed. GNP represents its solutions as directed graph structures, which can improv...
Shingo Mabu, Kotaro Hirasawa, Jinglu Hu