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AAAI
2006
14 years 11 months ago
Sample-Efficient Evolutionary Function Approximation for Reinforcement Learning
Reinforcement learning problems are commonly tackled with temporal difference methods, which attempt to estimate the agent's optimal value function. In most real-world proble...
Shimon Whiteson, Peter Stone
CEC
2005
IEEE
15 years 3 months ago
Real-parameter optimization using the mutation step co-evolution
Abstract- An evolutionary algorithm for the optimization of a function with real parameters is described in this paper. It uses a cooperative co-evolution to breed and reproduce su...
Petr Posik
GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
15 years 4 months ago
An analysis of the effects of population structure on scalable multiobjective optimization problems
Multiobjective evolutionary algorithms (MOEA) are an effective tool for solving search and optimization problems containing several incommensurable and possibly conflicting objec...
Michael Kirley, Robert L. Stewart
GECCO
2005
Springer
127views Optimization» more  GECCO 2005»
15 years 3 months ago
Evolutionary form-finding of tensegrity structures
Tensegrity structures are stable 3-dimensional mechanical structures which maintain their form due to an intricate balance of forces between disjoint rigid elements and continuous...
Chandana Paul, Hod Lipson, Francisco J. Valero Cue...
CCECE
2006
IEEE
15 years 4 months ago
New Constraints on Generation of Uniform Random Samples from Evolutionary Trees
In this paper, we introduce new algorithms for selecting taxon samples from large evolutionary trees, maintaining uniformity and randomness, under certain new constraints on the t...
Anupam Bhattacharjee, Zalia Shams, Kazi Zakia Sult...