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» Combinatorial optimization problems in self-assembly
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EUROGP
2007
Springer
171views Optimization» more  EUROGP 2007»
14 years 12 months ago
Geometric Particle Swarm Optimisation
Geometric particle swarm optimization (GPSO) is a recently introduced formal generalization of traditional particle swarm optimization (PSO) that applies naturally to both continu...
Alberto Moraglio, Cecilia Di Chio, Riccardo Poli
CEC
2011
IEEE
13 years 10 months ago
Cost-benefit analysis of using heuristics in ACGP
—Constrained Genetic Programming (CGP) is a method of searching the Genetic Programming search space non-uniformly, giving preferences to certain subspaces according to some heur...
John W. Aleshunas, Cezary Z. Janikow
GECCO
2006
Springer
143views Optimization» more  GECCO 2006»
15 years 1 months ago
Heterogeneous cooperative coevolution: strategies of integration between GP and GA
Cooperative coevolution has proven to be a promising technique for solving complex combinatorial optimization problems. In this paper, we present four different strategies which i...
Leonardo Vanneschi, Giancarlo Mauri, Andrea Valsec...
FLAIRS
2010
14 years 8 months ago
Decision-Theoretic Simulated Annealing
The choice of a good annealing schedule is necessary for good performance of simulated annealing for combinatorial optimization problems. In this paper, we pose the simulated anne...
Todd W. Neller, Christopher J. La Pilla
APPROX
2007
Springer
112views Algorithms» more  APPROX 2007»
15 years 4 months ago
Encouraging Cooperation in Sharing Supermodular Costs
Abstract Consider a situation where a group of agents wishes to share the costs of their joint actions, and needs to determine how to distribute the costs amongst themselves in a f...
Andreas S. Schulz, Nelson A. Uhan