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An incremental genetic algorithm approach to multiprocessor scheduling
- A. Wu, Han Yu, Shiyuan Jin, Kuo-Chi Lin, G. Schiavone
- Computer ScienceIEEE Transactions on Parallel and Distributed…
- 1 September 2004
A genetic algorithm approach to the problem of task scheduling for multiprocessor systems that requires minimal problem specific information and no problem specific operators or repair mechanisms and is able to automatically adapt to changing targets.
Sensor Network Optimization Using a Genetic Algorithm
By clustering a sensor network into a number of independent clusters using a GA, this approach can greatly minimize the total communication distance, thus prolonging the network lifetime and solving the shortest distance optimization problem.
The Current State of Normative Agent-Based Systems
The intent of this paper is to introduce new researchers to the ideas that underlie normative computing and survey the existing state of the art, as well as provide direction for future research in normative multiagent computing.
Evolving control for distributed micro air vehicles
- A. Wu, A. Schultz, A. Agah
- Computer ScienceProceedings IEEE International Symposium on…
- 8 November 1999
This work has developed a system that learn rule sets for controlling the individual MAVs in a distributed surveillance team and a genetic algorithm is used to learn the MAV rule sets.
Decision tree classifier for network intrusion detection with GA-based feature selection
A genetic algorithm is used to select a subset of input features for decision tree classifiers, with a goal of increasing the detection rate and decreasing the false alarm rate in network intrusion detection.
Multi-agent role allocation: issues, approaches, and multiple perspectives
This article compares computational models of the role allocation problem, presents the notion of explicitly versus implicitly defined roles, gives a survey of the methods used to approach role allocation problems, and concludes with a list of open research questions related to roles in multi-agent systems.
On the Impact of Variation on Self-Organizing Systems
- A. Campbell, Cortney Riggs, A. Wu
- Computer ScienceIEEE Fifth International Conference on Self…
- 3 October 2011
Results indicate that variation in the behaviors of agents can lead to increased stability and more effective self-organization in cooperative multi-agent systems.
The Proportional Genetic Algorithm: Gene Expression in a Genetic Algorithm
The motivations for developing this representation method are described, a detailed description of a PGA is provided along with discussion of its benefits and drawbacks and conclusions and future work based on these preliminary studies are discussed.
A Genetic Algorithm Approach to Focused Software Usage Testing
This paper presents a Genetic Algorithm (GA) approach to focused software usage testing that supports increased test automation and provides increased evidence to support reasoning about the overall quality of the software.
Active event correlation in Bro IDS to detect multi-stage attacks
- Bing Chen, Joohan Lee, A. Wu
- Computer ScienceFourth IEEE International Workshop on Information…
- 13 April 2006
A novel approach, active event correlation (AEC), which collects and correlates suspicious network events inside a network intrusion detection system (NIDS) and infers the possibility of attacks in the context of security policies and blocks attacks before they are completed.