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GECCO
2011
Springer
247views Optimization» more  GECCO 2011»
12 years 8 months ago
An agent-based model of the effects of a primate social structure on the speed of natural selection
The rate of speciation is in most mammals an order of magnitude faster than in most other vertebrates. It is faster still in the social mammals. The apparent association between c...
Gideon M. Gluckman, Joanna Bryson
GECCO
2011
Springer
264views Optimization» more  GECCO 2011»
12 years 8 months ago
Critical factors in the performance of novelty search
Novelty search is a recently proposed method for evolutionary computation designed to avoid the problem of deception, in which the fitness function guides the search process away...
Steijn Kistemaker, Shimon Whiteson
GECCO
2011
Springer
256views Optimization» more  GECCO 2011»
12 years 8 months ago
Evolving complete robots with CPPN-NEAT: the utility of recurrent connections
This paper extends prior work using Compositional Pattern Producing Networks (CPPNs) as a generative encoding for the purpose of simultaneously evolving robot morphology and contr...
Joshua E. Auerbach, Josh C. Bongard
GECCO
2011
Springer
374views Optimization» more  GECCO 2011»
12 years 8 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
276views Optimization» more  GECCO 2011»
12 years 8 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