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GECCO
2011
Springer
374views Optimization» more  GECCO 2011»
13 years 3 months ago
A hybrid heuristic approach for solving the generalized traveling salesman problem
The generalized traveling salesman problem (GTSP) is an NPhard problem that extends the classical traveling salesman problem by partitioning the nodes into clusters and looking fo...
Petrica C. Pop, Serban Iordache
GECCO
2011
Springer
346views Optimization» more  GECCO 2011»
13 years 3 months ago
Evolving relationships between social networks and stakeholder involvement in software projects
Software projects often fail because stakeholder communication and involvement are inadequate. This paper proposes a novel method to understand project social networks and their c...
Soo Ling Lim, Peter J. Bentley
GECCO
2011
Springer
276views Optimization» more  GECCO 2011»
13 years 3 months ago
Evolution of reward functions for reinforcement learning
The reward functions that drive reinforcement learning systems are generally derived directly from the descriptions of the problems that the systems are being used to solve. In so...
Scott Niekum, Lee Spector, Andrew G. Barto
GECCO
2011
Springer
274views Optimization» more  GECCO 2011»
13 years 3 months ago
Fuzzy dynamical genetic programming in XCSF
—A number of representation schemes have been presented for use within Learning Classifier Systems, ranging from binary encodings to Neural Networks, and more recently Dynamical ...
Richard Preen, Larry Bull
GECCO
2011
Springer
270views Optimization» more  GECCO 2011»
13 years 3 months ago
Geometric surrogate-based optimisation for permutation-based problems
In continuous optimisation, surrogate models (SMs) are used when tackling real-world problems whose candidate solutions are expensive to evaluate. In previous work, we showed that...
Alberto Moraglio, Yong-Hyuk Kim, Yourim Yoon
Optimization
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