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» Hyper-selection in dynamic environments
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ECAL
2007
Springer
14 years 1 months ago
Neuroevolution of Agents Capable of Reactive and Deliberative Behaviours in Novel and Dynamic Environments
Both reactive and deliberative qualities are essential for a good action selection mechanism. We present a model that embodies a hybrid of two very different neural network archit...
Edward Robinson, Timothy Ellis, Alastair Channon
ICARCV
2006
IEEE
132views Robotics» more  ICARCV 2006»
14 years 1 months ago
Dynamic Environment Modeling with Gridmap: A Multiple-Object Tracking Application
— The Bayesian occupancy filter (BOF) [1] has achieved promising results in the object tracking applications. This paper presents a new development of BOF which inherits origina...
Cheng Chen, Christopher Tay, Christian Laugier, Ka...
DEXAW
2005
IEEE
121views Database» more  DEXAW 2005»
14 years 1 months ago
Resource Discovery in a Dynamic Grid Environment
Resource discovery in a Grid environment is a critical problem, as a typical Grid system includes a very large number of resources, which must be readily identified and accessed ...
Moreno Marzolla, Matteo Mordacchini, Salvatore Orl...
GECCO
2005
Springer
174views Optimization» more  GECCO 2005»
14 years 1 months ago
Diversity as a selection pressure in dynamic environments
Evolutionary algorithms (EAs) are widely used to deal with optimization problems in dynamic environments (DE) [3]. When using EAs to solve DE problems, we are usually interested i...
Lam Thu Bui, Jürgen Branke, Hussein A. Abbass
GECCO
2005
Springer
174views Optimization» more  GECCO 2005»
14 years 1 months ago
Coordinating multi-rover systems: evaluation functions for dynamic and noisy environments
This paper addresses the evolution of control strategies for a collective: a set of entities that collectively strives to maximize a global evaluation function that rates the perf...
Kagan Tumer, Adrian K. Agogino