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GECCO
1999
Springer
133views Optimization» more  GECCO 1999»
14 years 2 months ago
Evolution of Goal-Directed Behavior from Limited Information in a Complex Environment
In this paper, we apply an evolutionary algorithm to learning behavior on a novel, interesting task to explore the general issue of learning e ective behaviors in a complex enviro...
Matthew R. Glickman, Katia P. Sycara
QCQC
1998
Springer
154views Communications» more  QCQC 1998»
14 years 2 months ago
Automated Design of Quantum Circuits
In order to design a quantum circuit that performs a desired quantum computation, it is necessary to find a decomposition of the unitary matrix that represents that computation in ...
Colin P. Williams, Alexander G. Gray
ISMIS
1997
Springer
14 years 2 months ago
Knowledge-Based Image Retrieval with Spatial and Temporal Constructs
e about image features can be expressed as a hierarchical structure called a Type Abstraction Hierarchy (TAH). TAHs can be generated automatically by clustering algorithms based on...
Wesley W. Chu, Alfonso F. Cardenas, Ricky K. Taira
GECCO
2010
Springer
195views Optimization» more  GECCO 2010»
14 years 1 months ago
Improved step size adaptation for the MO-CMA-ES
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) is an evolutionary algorithm for continuous vector-valued optimization. It combines indicator-based...
Thomas Voß, Nikolaus Hansen, Christian Igel
GECCO
2010
Springer
218views Optimization» more  GECCO 2010»
14 years 1 months ago
Cartesian genetic programming
This paper presents a new form of Genetic Programming called Cartesian Genetic Programming in which a program is represented as an indexed graph. The graph is encoded in the form o...
Julian Francis Miller, Simon L. Harding