Increasing demands in the eld of high performance scienti c computing have lead to supercomputers of increasing sophistication and complexity. Utilizing a number of techniques to extract parallelism and maximize performance, recent trends in supercomputing have come at the expense of programmability. The knowledge and eort required to perform optimization on a modern supercomputer often detracts from the chief goals of the user. The future generations of supercomputers will have to provide not only high performance, but also high programmability and productivity. One mechanism to achieve this is the use of automatic introspection mechanisms. We plan to explore how ant-colony type optimizations can be used to perform low-overhead introspec...
We meet with solving of optimization problems every day, when we try to do our tasks in the best way...
warm intelligence is a relative-ly new approach to problem solving that takes inspiration from the s...
"Theoretical Computer Science Top Cited Article 2005-2010"Research on a new metaheuristic for optimi...
Recently we proposed an application of ant colony optimization (ACO) to simulate socio-cognitive fea...
The rapidly growing field of nature-inspired computing concerns the development and application of a...
. Ant Colonies (AC) optimization take inspiration from the behavior of real ant colonies to solve op...
Ant colony (or swarm intelligence)optimization has become and important and powerful optimization he...
Abstract. Ant Colony Optimization (ACO) has been applied successfully in solving the Traveling Sales...
Ant Colony Optimisation is a relatively new class of meta-heuristic search techniques for optimisati...
The purpose of this book is to provide a comprehensive overview of the current state of the art in a...
The ant algorithms research field builds on the idea that the study of the behavior of ant colonies ...
(Chairman) date Dr. Gilbert L. Peterson (Member) date Dr. Gary B. Lamont (Member) date AFIT/GCS/ENG/...
Ant Colony Optimization (ACO) has been applied successfully in solving the Traveling Salesman Proble...
Optimisation, in the mathematical sense, is the process of finding solutions to a problem such that ...
This proposal shows that ACO systems can be applied to problems of requirements selection in softwar...
We meet with solving of optimization problems every day, when we try to do our tasks in the best way...
warm intelligence is a relative-ly new approach to problem solving that takes inspiration from the s...
"Theoretical Computer Science Top Cited Article 2005-2010"Research on a new metaheuristic for optimi...
Recently we proposed an application of ant colony optimization (ACO) to simulate socio-cognitive fea...
The rapidly growing field of nature-inspired computing concerns the development and application of a...
. Ant Colonies (AC) optimization take inspiration from the behavior of real ant colonies to solve op...
Ant colony (or swarm intelligence)optimization has become and important and powerful optimization he...
Abstract. Ant Colony Optimization (ACO) has been applied successfully in solving the Traveling Sales...
Ant Colony Optimisation is a relatively new class of meta-heuristic search techniques for optimisati...
The purpose of this book is to provide a comprehensive overview of the current state of the art in a...
The ant algorithms research field builds on the idea that the study of the behavior of ant colonies ...
(Chairman) date Dr. Gilbert L. Peterson (Member) date Dr. Gary B. Lamont (Member) date AFIT/GCS/ENG/...
Ant Colony Optimization (ACO) has been applied successfully in solving the Traveling Salesman Proble...
Optimisation, in the mathematical sense, is the process of finding solutions to a problem such that ...
This proposal shows that ACO systems can be applied to problems of requirements selection in softwar...
We meet with solving of optimization problems every day, when we try to do our tasks in the best way...
warm intelligence is a relative-ly new approach to problem solving that takes inspiration from the s...
"Theoretical Computer Science Top Cited Article 2005-2010"Research on a new metaheuristic for optimi...