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» Optimal Control of Discrete Hybrid Stochastic Automata
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GECCO
2007
Springer
166views Optimization» more  GECCO 2007»
13 years 9 months ago
Understanding particle swarms through simplification: a study of recombinant PSO
Simplified forms of the particle swarm algorithm are very beneficial in contributing to understanding of what makes a PSO swarm function in the way that it does. One of these form...
Daniel Bratton, Tim Blackwell
GECCO
2007
Springer
185views Optimization» more  GECCO 2007»
13 years 11 months ago
An informed convergence accelerator for evolutionary multiobjective optimiser
A novel optimisation accelerator deploying neural network predictions and objective space direct manipulation strategies is presented. The concept of directing the search through ...
Salem F. Adra, Ian Griffin, Peter J. Fleming
AUTOMATICA
1999
145views more  AUTOMATICA 1999»
13 years 5 months ago
Control of systems integrating logic, dynamics, and constraints
This paper proposes a framework for modeling and controlling systems described by interdependent physical laws, logic rules, and operating constraints, denoted as mixed logical dy...
Alberto Bemporad, Manfred Morari
ICST
2009
IEEE
14 years 4 days ago
Optimizing Probabilities of Real-Time Test Case Execution
—Model-based test derivation for real-time system has been proven to be a hard problem for exhaustive test suites. Therefore, techniques for real-time testing do not aim to exhau...
Nicolás Wolovick, Pedro R. D'Argenio, Hongy...
IJCAI
2003
13 years 6 months ago
A Planning Algorithm for Predictive State Representations
We address the problem of optimally controlling stochastic environments that are partially observable. The standard method for tackling such problems is to define and solve a Part...
Masoumeh T. Izadi, Doina Precup