Zobrazeno 1 - 10
of 27
pro vyhledávání: '"John R. McDonnell"'
Autor:
John R. McDonnell, Sushil J. Louis
Publikováno v:
IEEE Transactions on Evolutionary Computation. 8:316-328
This paper presents a new approach to acquiring and using problem specific knowledge during a genetic algorithm (GA) search. A GA augmented with a case-based memory of past problem solving attempts learns to obtain better performance over time on set
Publikováno v:
CIG
This paper discusses the use of evolutionary computation for an automated player of a real-time strategic tactics game in which assets are assigned to targets and threats belonging to the opposing team. Strategy games such as this are essentially a s
Publikováno v:
IEEE Congress on Evolutionary Computation
We use case injected genetic algorithms to learn how to competently play computer strategy games. Strategic computer games involve long range planning across complex dynamics and imperfect knowledge presented to players requires them to anticipate op
Autor:
John R. McDonnell, Nicholas J. Gizzi
This paper describes decision support tools that are being developed to support dynamic reallocation of tactical air assets in particular and the strike force assets in general. Tools that support situation awareness, risk assessment, and weapon-targ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dbf6bd74654041980573ec862cda3300
https://doi.org/10.21236/ada457981
https://doi.org/10.21236/ada457981
Autor:
John R. McDonnell
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540648918
Evolutionary Programming
Evolutionary Programming
Traditional random search methods incorporate symmetric density functions for generating perturbations about the operating point. This philosophy has been retained in the development of multi-agent stochastic search techniques including methods in ev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c5daafebb10dbc2903c1499a52c5010
https://doi.org/10.1007/bfb0040822
https://doi.org/10.1007/bfb0040822
Publikováno v:
Evolutionary Algorithms in Management Applications ISBN: 9783642647499
A rule-based strategy is proposed for freeway ramp metering control. The rule-based controller determines ramp discharge rates based on upstream, downstream, and adjacent freeway occupancy levels. The use of a rule-base is advantageous because it can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b482991a52301a4adf8ab6fbe2735903
https://doi.org/10.1007/978-3-642-61217-6_18
https://doi.org/10.1007/978-3-642-61217-6_18
Publikováno v:
Visual Communications and Image Processing '94.
Wavelet theory provides an attractive approach to signal and image compression. This work investigates a new wavelet transform coefficient selection approach for efficient image compression. For a desired image compression ratio (50:1), wavelet scale
Autor:
Donald E. Waagen, John R. McDonnell
Publikováno v:
SPIE Proceedings.
This work investigates the application of evolutionary search to cascade-correlation learning architectures. Evolutionary programming is used to generate the hidden weights of each candidate hidden unit in the cascade-correlation learning paradigm. T
Publikováno v:
SPIE Proceedings.
Finite mixture models (mixture models) estimate probability density functions based on a weighted combination of density functions. This work investigates a combined stochastic and deterministic optimization approach of a generalized kernel function